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| Resource Name | Proper Citation | Abbreviations | Resource Type |
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CaDBase: Genetic diversity in cattle Resource Report Resource Website 1+ mentions |
CaDBase: Genetic diversity in cattle (RRID:SCR_008146) | data or information resource, database, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. The objective of the project is the standardization of micro-satellite markers used within participating laboratories, use of DNA markers to define genetic diversity and to enable monitoring of breeds to promote conservation programs where required, and the determination of diversity present in rare and local breeds across Europe. The blood typing laboratories are now beginning to use micro-satellite markers as an alternative to serology for parentage verification, and are selecting a common set to be used from the several hundred micro-satellite markers available that cover the bovine genome, produced as part of the Bovine genome mapping project (See BovMaP). Work with micro-satellite markers has shown that they are valuable tools for examining genetic diversity and phylogeny in many species. However, for work carried out in different laboratories to be comparable, it is essential that the same markers are used. To maintain the compatibility of data generated by the various typing labs, it is essential that all laboratories adopt the same markers and typing protocols. It is therefore of paramount importance that the blood typing laboratories and research labs that are examining the genetic structure of the cattle populations adopt a common panel of the best micro-satellite markers available. Some pilot comparative work has been undertaken through the International Society for Animal Genetics, but so far this has only involved the blood typing laboratories. One objective of this project is to facilitate the comparison of the micro-satellite markers currently in use in the different types of laboratory and determine the efficiency of the markers available in revealing genetic differences within and among breeds. It will also be important to compare the use of markers in different laboratories to determine how robust they are and how easily results can be compared. From comparison of the markers, those that are most suitable will be selected to form a panel which will be recommended for pedigree validation and genetic surveys. Cattle are an important source of food in Europe, and intense selection has resulted in the development of specialized breeds. Selection for high-producing dairy cattle has been successful, but one associated drawback is that the cattle population, both in Europe and North America, has been skewed dramatically towards one breed, the Holstein/Friesian. So there has been a decline in the number of individuals of other breeds, and hence a general erosion of the genetic base of the cattle population. The progressive move towards the North American-type Holstein animals has also resulted in the requirement for high input/high output farming and intensive management schemes. The impact of this on the environment has been significant, e.g. pollution problems arising from the need for high nitrogen fertilizers to produce sufficient high quality fodder, and disposal problems associated with slurry waste. Poorer areas of the community have been unable to compete with such farming systems, and are more suited to low input/low output farming using traditional stock. It is however the future perspective that is of greatest concern. It is impossible to predict requirements for cattle production - quality, production type, management systems, etc. The ability to switch rapidly to alternative production will be dependent on the genetic base of the population available to selection programs. It is therefore essential to maintain the greatest genetic diversity possible in the cattle population. Whilst current farming practices are perceived to be both efficient and acceptable, the breeds less favored by commercial farmers will dwindle. It is therefore important that on an European scale efficient management of these breeds maintains the widest genetic base possible. This project aims to carry out a survey of the current genetic base of the European cattle population and to provide the tools to assist breeding programs to maintain a broad base. The blood typing laboratories are now beginning to use micro-satellite markers as an alternative to serology for parentage verification, and are selecting a common set to be used from the several hundred micro-satellite markers available that cover the bovine genome, produced as part of the Bovine genome mapping project. Early work to measure genetic diversity used blood groups to show differences between breeds and the diversity present. Unfortunately, the number of loci available are limited, with only the B system being sufficiently polymorphic to be really useful. However, since there is a wealth of information available from such typing, this information can be used to estimate changes in the genetic structure of cattle populations across Europe over the past twenty years. More recently mini-satellite probes have been used to generate ''genetic fingerprints'' which have been used to show differences between individuals. Such fingerprints have been used to estimate genetic diversity - the greater the number of bands revealed by the fingerprint being equated with greater diversity. This is valid within limits. The main disadvantage of the fingerprint approach is that the chromosomal location and number of loci being sampled, and so the proportion of the genome examined, is unknown. The allelic bands on the gel cannot be easily identified, so allele inheritance cannot be addressed making it impossible to trace ancestry. Through the EC funded BovMaP project, large numbers of highly polymorphic micro-satellite markers have become available, which are being mapped on the bovine genome. These markers are particularly suited to measuring genetic diversity, and markers can be selected to cover the entire genome. | micro-satellite, dna, genetic, diversity, breed, conservation, pedigree, cattle, bovine, cow, blood, typing, serology, parentage, mapping, genome, marker, genetic, structure, population, animal, holstein, farming, fertilizer, locus, polymorphic, allelic, ancestry, people resource | has parent organization: University of Edinburgh; Scotland; United Kingdom | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20969 | SCR_008146 | Genetic diversity in cattle | 2026-09-12 12:57:00 | 1 | ||||||||
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BovMap Database Resource Report Resource Website 1+ mentions |
BovMap Database (RRID:SCR_008145) | BovMap | data or information resource, data repository, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Database containing information on the cattle genome comprising loci list, phenes list, homology query, cattle maps, gene list, and chromosome homology. The objective of BovMap is to develop a set of anchored loci for the cattle genome map. In total, 58 clones were hybridized with chromosomes and identified loci on 22 of the 31 different bovine chromosomes. Three clones contained satellite DNA. Two or more markers were placed on 12 chromosomes. Sequencing of the microsatellites and flanking regions was performed directly from 43 cosmids, as previously reported. Primers were developed for 39 markers and used to describe the polymorphism associated with the corresponding loci. Users are also allowed to summit their own data for Bovmap. An integrated cytogenetic and meiotic map of the bovine genome has also been developed around the Bovmap database. One objective that Bovmap uses as the mapping strategy for the bovine genome uses large insert clones as a tool for physical mapping and as a source of highly polymorphic microsatellites for genetic typing. | genetic, bovine, cattle, chromosome, clone, cosmid, cow, cytogenetic, dna, genome, homology, locus, meiotic, phene, polymorphism, sequence, map, gene | has parent organization: INRA - French National Institute for Agricultural Research; Paris; France | European Union | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20968 | SCR_008145 | 2026-09-12 12:57:00 | 2 | |||||||
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E. coli Genome project Resource Report Resource Website 1+ mentions |
E. coli Genome project (RRID:SCR_008139) | data or information resource, database, portal, topical portal | The E. coli Genome Project has the goal of completely sequencing the E. coli and human genomes. They began isolation of an overlapping lambda clonebank of E. coli K-12 strain MG1655. Those clones served as the starting material in our initial efforts to sequence the whole genome. Improvements in sequencing technology have since reached the point where whole-genome sequencing of microbial genomes is routine, and the human genome has in fact been completed. They initiated additional sequencing efforts, concentrating on pathogenic members of the family Enterobacteriaceae -- to which E. coli belongs. They also began a systematic functional characterization of E. coli K-12 genes and their regulation, using the whole genome sequence to address how the over 4000 genes of this organism act together to enable its survival in a wide range of environments. | e. coli, enterobcteriaceae, gene, genome, human, journal aricle, knowledgebase, regulation, sequence, job | has parent organization: University of Wisconsin-Madison; Wisconsin; USA | NHGRI ; NIAID |
nif-0000-20961 | SCR_008139 | E.Coli genome project | 2026-09-12 12:57:00 | 5 | ||||||||
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MitoRes Resource Report Resource Website 1+ mentions |
MitoRes (RRID:SCR_008208) | MitoRes | data acquisition software, data analysis software, data processing software, software application, software resource | MitoRes, is a comprehensive and reliable resource for massive extraction of sequences and sub-sequences of nuclear genes and encoded products targeting mitochondria in metazoa. It has been developed for supporting high-throughput in-silico analyses aimed to studies of functional genomics related to mitochondrial biogenesis, metabolism and to their pathological dysfunctions. It integrates information from the most accredited world-wide databases to bring together gene, transcript and encoded protein sequences associated to annotations on species name and taxonomic classification, gene name, functional product, organelle localization, protein tissue specificity, Enzyme Classification (EC), Gene Ontology (GO) classification and links to other related public databases. The section Cluster, has been dedicated to the collection of data on protein clustering of the entire catalogue of MitoRes protein sequences based on all versus all global pair-wise alignments for assessing putative intra- and inter-species functional relationships. The current version of MitoRes is based on the UniProt release 4 and contains 64 different metazoan species. The incredible explosion of knowledge production in Biology in the past two decades has created a critical need for bioinformatic instruments able to manage data and facilitate their retrieval and analysis. Hundreds of biological databases have been produced and the integration of biological data from these different resources is very important when we want to focus our efforts towards the study of a particular layer of biological knowledge. MitoRes is a completely rebuilt edition of MitoNuc database, which has been extensively modified to deal successfully with the challenges of the post genomic era. Its goal is to represent a comprehensive and reliable resource supporting high-quality in-silico analyses aimed to the functional characterization of gene, transcript and amino acid sequences, encoded by the nuclear genome and involved in mitochondrial biogenesis, metabolism and pathological dysfunctions in metazoa. The central features of MitoRes are: # an integrated catalogue of protein, transcript and gene sequences and sub-sequences # a Web-based application composed of a wide spectrum of search/retrieval facilities # a sequence export manager allowing massive extraction of bio-sequences (genes, introns, exons, gene flanking regions, transcripts, UTRs, CDS, proteins and signal peptides) in FASTA, EMBL and GenBank formats. It is an interconnected knowledge management system based on a MySQL relational database, which ensures data consistency and integrity, and on a Web Graphical User Interface (GUI), built in Seagull PHP Framework, offering a wide range of search and sequence extraction facilities. The database is compiled extracting and integrating information from public resources and data generated by the MitoRes team. The MitoRes database consists of comprehensive sequence entries whose core data are protein, transcript and gene sequences and taxonomic information describing the biological source of the protein. Additional information include: bio-sequences structure and location, biological function of protein product and dynamic links to both, external public databases used as data resources and public databases reporting complementary information. The core entity of the MitoRes database is represented by the protein so that each MitoRes entry is generated for each protein reported in the UniProt database as a nuclear encoded protein involved in mitochondrial biogenesis and function. Sponsors: MitoRes has been supported by Ministero Universit e Ricerca Scientifica, Italy (PRIN, Programma Biotecnologie legge 95/95-MURST 5, Proiect MURST Cluster C03/2000, CEGBA). Currently it is supported by operating grants from the Ministero dellIstruzione, dellUniversit e della Ricerca (MIUR), Italy (PNR 2001-2003 (FIRB art.8) D.M. 199, Strategic Program: Post-genome, grant 31-063933 and Project n.2, Cluster C03 L. 488/929). | dysfunction, encode, enzyme, exon, extraction, function, functional, gene, alignment, amino acid, biogenesis, bioinformatic, biological, biology, cds, classification, disfunctional, genome, genomic, genomics, intron, localization, location, metabolic process, metabolism, metazoa, mitochondria, mitochondrial, mitochondrial genes and proteins databases, nuclear, nuclear_gene, nuclear_mitochondrial, nuclear_sequence, organelle, organelle localization, pathological, peptide, protein, protein_coding, protein structure classification, region, sequence, signal, signal_peptide, specie, specificity, structure, sub-sequence, taxonomic, tissue, transcript, utr | nif-0000-21269 | http://www2.ba.itb.cnr.it/MitoNuc/ | SCR_008208 | 2026-09-12 12:57:01 | 1 | |||||||||
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MedBlast Resource Report Resource Website 1+ mentions |
MedBlast (RRID:SCR_008202) | software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. An algorithm that finds articles most relevant to a genetic sequence. In the genomic era, researchers often want to know more information about a biological sequence by retrieving its related articles. However, there is no available tool yet to achieve conveniently this goal. Here, a new literature-mining tool MedBlast is developed, which uses natural language processing techniques, to retrieve the related articles of a given sequence. An online server of this program is also provided. The genome sequencing projects generate such a large amount of data every day that many molecular biologists often encounter some sequences that they know nothing about. Literature is usually the principal resource of such information. It is relatively easy to mine the articles cited by the sequence annotation; however, it is a difficult task to retrieve those relevant articles without direct citation relationship. The related articles are those described in the given sequence (gene/protein), or its redundant sequences, or the close homologs in various species. They can be divided into two classes: direct references, which include those either cited by the sequence annotation or citing the sequence in its text; indirect references, those which contain gene symbols of the given sequence. A few additional issues make the task even more complicated: (1) symbols may have aliases; and (2) one sequence may have a couple of relatives that we want to take into account too, which include redundant (e.g. protein and gene sequences) and close homologs. Here the issues are addressed by the development of the software MedBlast, which can retrieve the related articles of the given sequence automatically. MedBlast uses BLAST to extend homology relationships, precompiled species-specific thesauruses, a useful semantics technique in natural language processing (NLP), to extend alias relationship, and EUtilities toolset to search and retrieve corresponding articles of each sequence from PubMed. MedBlast take a sequence in FASTA format as input. The program first uses BLAST to search the GenBank nucleic acid and protein non-redundant (nr) databases, to extend to those homologous and corresponding nucleic acid and protein sequences. Users can input the BLAST results directly, but it is recommended to input the result of both protein and nucleic acid nr databases. The hits with low e-values are chosen as the relatives because the low similarity hits often do not contain specific information. Very long sequences, e.g. 100k, which are usually genomic sequences, are discarded too, for they do not contain specific direct references. User can adjust these parameters to meet their own needs. | gene, article, biological, data, genome, genomic, homolog, literature, medline interfaces, mining, molecular, protein, sequence, specie | National Natural Science Foundation of China 39990600-03; Knowledge Innovation Program of the Chinese Academy of Sciences KSCX2-2-07; Knowledge Innovation Program of the Chinese Academy of Sciences KJCX1-08 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21253 | SCR_008202 | MedBlast | 2026-09-12 12:57:01 | 1 | ||||||||
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Parasite genome databases and genome research resources Resource Report Resource Website 1+ mentions |
Parasite genome databases and genome research resources (RRID:SCR_008150) | data or information resource, database, portal, topical portal | This website contains information about the genomic sequence of parasites. It also contains multiple search engines to search six frame translations of parasite nucleotide databases for motifs, parasite protein databases for motifs, and parasite protein databases for keywords and text terms. * Guide to Internet Access to Parasite Genome Information * Guide to web-based analysis tools * Parasite Genome BLAST Server: Search a range of parasite specific nucleotide sequence databases with your own sequence. * Parasite Proteome Keyword Search Facility: Search parasite protein databases for keywords and text terms * Parasite Proteome Motif Search Facility: Search parasite protein databases for motifs * Parasite Six Frame Translation Motif Search Facility: Search six frame translations of parasite nucleotide databases for motifs * Genome computing resources: A list of ftp and gopher sites where genome computing applications and other resources can be found. | genome, genomic, nucleotide, parasite, protein, proteome, sequence, gold standard | has parent organization: European Bioinformatics Institute | nif-0000-20981 | SCR_008150 | Parasite Genome Database | 2026-09-12 12:57:00 | 2 | |||||||||
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Bovine Genome Project Resource Report Resource Website |
Bovine Genome Project (RRID:SCR_008370) | Bovine Genome Project | analysis service resource, data analysis service, data or information resource, data set, production service resource, service resource | Downloadable files of the bos taurus genome. Draft assemblies available for download as contigs or linearized scaffolds of the genomic sequence of cow, Bos taurus, including the final draft assembly (7.1 coverage) and the two previous assemblies. The genome is sequenced to 6- to 8-fold sequence depth, with high-quality finished sequence in some areas. Accompanying EST and SNP analyses is also included. The bovine genome assembly and analysis and the study of cattle genetic history were published in April 24, 2009 issue of Science. The Human Genome Sequencing Center provides BLAST searches of the genome assemblies, either as contigs or as linearized chromosome sequences. The WGS sequence enriched BAC assemblies and the unassembled reads (sequencing reads that did not end up in the genome assembly) can also be searched by BLAST. Traces are available from the NCBI Trace Archive by using the link in the sidebar or by using NCBI MegaBLAST with a same species or cross species query. | bovine, cattle, cow, genome, genotype, reagent, sequencing, blast, genome assembly, contig, linearized chromosome, single nucleotide polymorphism, bac map, expressed sequence tag | has parent organization: Baylor University; Texas; USA | NHGRI ; USDA Agricultural Research Service ; USDA Cooperative State Research Education and Extension Service ; State of Texas ; Genome Canada ; Genome British Columbia ; CSIRO ; Agritech Investments Ltd. New Zealand ; Dairy Insight Inc. New Zealand ; AgResearch Ltd.New Zealand ; Robert J. Kleberg ; Jr. and Helen C. Kleberg Foundation ; National Texas and South Dakota Beef Check-off Funds |
PMID:19393050 | nif-0000-25603 | http://www.hgsc.bcm.tmc.edu/project-species-m-Bovine.hgsc?pageLocation=Bovine | SCR_008370 | 2026-09-12 12:57:03 | 0 | ||||||
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Cold Spring Harbor Laboratory Resource Report Resource Website 1000+ mentions |
Cold Spring Harbor Laboratory (RRID:SCR_008326) | CSHL | nonprofit organization | Non profit, private research and education institution that performs molecular and genetic research used to generate methods for better diagnostics and treatments for cancer and neurological diseases. Research of cancer causing genes and their respective signaling pathways, mutations and structural variations of the human genome that could cause neurodevelopmental and neurodegenerative illnesses such as autism, schizophrenia, and Alzheimer's and Parkinson's diseases and also research in plant genetics and quantitative biology. | institution, education, genetic, alzheimer's, autism, biological, biotechnology, cancer, diagnostic, dna, genome, molecular, biology, neurodegenerative, neurodevelopmental, neurological, schizophrenia, signaling, structure |
is affiliated with: CyVerse is related to: GenomeScope is parent organization of: RMAP is parent organization of: Cold Spring Harbor Protocols: Collected Resources - Behavioral Assays is parent organization of: Genes to Cognition Online is parent organization of: Gramene is parent organization of: Exonic Splicing Enhancer Finder is parent organization of: bioRxiv is parent organization of: Brain Architecture Project is parent organization of: SCPD - Saccharomyces cerevisiae promoter database is parent organization of: AtProbe is parent organization of: FASTX-Toolkit is parent organization of: Chronux is parent organization of: Learn about SMA website is parent organization of: Transcriptional Regulatory Element Database is parent organization of: CSHL - Hannon Lab is parent organization of: Zebra Finch Song Learning Consortium is parent organization of: SpliceTrap is parent organization of: ESEfinder 3.0 is parent organization of: DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity is parent organization of: 3D Brain is parent organization of: Alta-Cyclic is parent organization of: WormBase is parent organization of: Reactome is parent organization of: ScanImage is parent organization of: FASTX-Toolkit is parent organization of: Cold Spring Harbor Laboratory Microscopy Shared Resource Core Facility |
nif-0000-24690, grid.225279.9, ISNI: 0000 0004 0387 3667, Wikidata: Q609768 | https://ror.org/02qz8b764 | SCR_008326 | CSHL | 2026-09-12 12:57:02 | 3372 | |||||||
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Dog Genome Project Resource Report Resource Website 1+ mentions |
Dog Genome Project (RRID:SCR_008486) | data or information resource, portal, topical portal | The genome of the domesticated dog, a close evolutionary relation to human, is a powerful new tool for understanding the human genome. Comparison of the dog with human and other mammals reveals key information about the structure and evolution of genes and genomes. The unique breeding history of dogs, with their extraordinary behavioral and physical diversity, offers the opportunity to find important genes underlying diseases shared between dogs and humans, such as cancer, diabetes, and epilepsy. The Canine Genome Sequencing Project produced a high-quality draft sequence of a female boxer named Tasha. By comparing Tasha with many other breeds, the project also compiled a comprehensive set of SNPs (single nucleotide polymorphisms) useful in all dog breeds. These closely spaced genomic landmarks are critical for disease mapping. By comparing the dog, rodent, and human lineages, researchers at the Broad Institute uncovered exciting new information about human genes, their evolution, and the regulatory mechanisms governing their expression. Using SNPs, researchers describe the strikingly different haplotype structure in dog breeds compared with the entire dog population. In addition, they show that by understanding the patterns of variation in dog breeds, scientists can design powerful gene mapping experiments for complex diseases that are difficult to map in human populations. Contribute Although the astounding generosity of Eli and Edythe L. Broad and several other venture philanthropists empowers our scientists to tackle many of the most important problems at the cutting edge of genomic medicine, there are many other critical challenges that they cannot yet pursue because of limited resources. We need additional visionary partners to join the Broads and the Broad Institute in transforming medicine with the power of genomics. | dog, canine, human, gene, medical, research, genome, annotation | has parent organization: Broad Institute | NIH Office of the Director R24 OD018250 | nif-0000-30464 | http://dogdata.org/, https://orip.nih.gov/comparative-medicine/programs/genetic-biological-and-information-resources, https://www.broadinstitute.org/mammals-models/broad-institute-canine-genomic-resources | SCR_008486 | Dog Genome, Canine Genome Project, Dog Gene Project, A Comprehensive Canine Genetics Resource Including Gene and Variation Annotation, Dog Genetics Project | 2026-09-12 12:57:04 | 4 | |||||||
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CGARS Resource Report Resource Website |
CGARS (RRID:SCR_006404) | CGARS | software resource | Software package to dissect random from non-random patterns in copy number data and thereby to assess significantly enriched somatic copy number aberrations (SCNA) across a set of tumor specimens or cell lines. | genome, analysis |
is listed by: OMICtools has parent organization: University of Cologne; Cologne; Germany |
Cancer | PMID:24413525 | GNU General Public License, v3 or later | OMICS_02210 | SCR_006404 | CGARS: Cancer Genome Analysis by Rank Sums, Cancer Genome Analysis by Rank Sums | 2026-09-12 12:56:39 | 0 | |||||
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TSSer Resource Report Resource Website |
TSSer (RRID:SCR_006419) | TSSer | software resource | A computational pipeline to analyze differential RNA sequencing (dRNA-seq) data to determine transcription start sites genome-wide. | differential rna sequencing, transcription start site, rna-seq, genome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Basel; Basel; Switzerland |
PMID:24371151 | GNU General Public License | biotools:tsser, OMICS_02191 | https://bio.tools/tsser | SCR_006419 | TSSer: a computational pipeline to identify transcription start sites in bacterial genomes | 2026-09-12 12:56:39 | 0 | |||||
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PomBase Resource Report Resource Website 100+ mentions |
PomBase (RRID:SCR_006586) | PomBase | data or information resource, database, service resource | Model organism database that provides organization of and access to scientific data for the fission yeast Schizosaccharomyces pombe. PomBase supports genomic sequence and features, genome-wide datasets and manual literature curation. PomBase also provides a community hub for researchers, providing genome statistics, a community curation interface, news, events, documentation, mailing lists, and welcomes data submissions. | fission yeast, gene ontology, genome sequence, schizosaccharomyces pombe (4896), schizosaccharomyces pombe, dna, protein, cosmic assembly, intron, go, chromosome, telomere, centromere, mating region, data mapping, model organism, genome, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: AmiGO is related to: GeneDB Spombe has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: University College London; London; United Kingdom is parent organization of: Fission Yeast Phenotype Ontology is parent organization of: Pompep |
Wellcome Trust WT090548MA | PMID:22039153 | Public, Acknowledgement requested | biotools:pombase, nlx_144356, r3d100011478 | https://bio.tools/pombase, https://doi.org/10.17616/R3NS78 | http://www.sanger.ac.uk/Projects/S_pombe/ | SCR_006586 | Schizosaccharomyces pombeGenome Sequencing Project | 2026-09-12 12:56:42 | 396 | |||
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ErmineJ Resource Report Resource Website 50+ mentions |
ErmineJ (RRID:SCR_006450) | ermineJ | data analysis software, data processing software, software application, software resource | Data analysis software for gene sets in expression microarray data or other genome-wide data that results in rankings of genes. A typical goal is to determine whether particular biological pathways are doing something interesting in the data. The software is designed to be used by biologists with little or no informatics background. A command-line interface is available for users who wish to script the use of ermineJ. Major features include: * Implementation of multiple methods for gene set analysis: ** Over-representation analysis ** A resampling-based method that uses gene scores ** A rank-based method that uses gene scores ** A resampling-based method that uses correlation between gene expression profiles (a type of cluster-enrichment analysis). * Gene sets receive statistical scores (p-values), and multiple test correction is supported. * Support of the Gene Ontology terminology; users can choose which aspects to analyze. * User files use simple text formats. * Users can modify gene sets or create new ones. * The results can be visualized within the software. * It is simple to compare multiple analyses of the same data set with different settings. * User-definable hyperlinks are provided to external sites to allow more efficient browsing of the results. * For programmers, there is a command line interface as well as a simple application programming interface that can be used to plug ermineJ functionality into your own code Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | microarray, gene ontology, analysis, high-throughput, gene, gene expression, statistical analysis, term enrichment, genome |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of British Columbia; British Columbia; Canada has parent organization: Columbia University; New York; USA |
PMID:16280084 | Free for academic use | nif-0000-07758 | SCR_006450 | ermineJ: Gene Ontology analysis for high-throughput data | 2026-09-12 12:56:40 | 51 | ||||||
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European Nucleotide Archive (ENA) Resource Report Resource Website 1000+ mentions |
European Nucleotide Archive (ENA) (RRID:SCR_006515) | ENA | data or information resource, data repository, database, service resource, storage service resource | Public archive providing a comprehensive record of the world''''s nucleotide sequencing information, covering raw sequencing data, sequence assembly information and functional annotation. All submitted data, once public, will be exchanged with the NCBI and DDBJ as part of the INSDC data exchange agreement. The European Nucleotide Archive (ENA) captures and presents information relating to experimental workflows that are based around nucleotide sequencing. A typical workflow includes the isolation and preparation of material for sequencing, a run of a sequencing machine in which sequencing data are produced and a subsequent bioinformatic analysis pipeline. ENA records this information in a data model that covers input information (sample, experimental setup, machine configuration), output machine data (sequence traces, reads and quality scores) and interpreted information (assembly, mapping, functional annotation). Data arrive at ENA from a variety of sources including submissions of raw data, assembled sequences and annotation from small-scale sequencing efforts, data provision from the major European sequencing centers and routine and comprehensive exchange with their partners in the International Nucleotide Sequence Database Collaboration (INSDC). Provision of nucleotide sequence data to ENA or its INSDC partners has become a central and mandatory step in the dissemination of research findings to the scientific community. ENA works with publishers of scientific literature and funding bodies to ensure compliance with these principles and to provide optimal submission systems and data access tools that work seamlessly with the published literature. ENA is made up of a number of distinct databases that includes the EMBL Nucleotide Sequence Database (Embl-Bank), the newly established Sequence Read Archive (SRA) and the Trace Archive. The main tool for downloading ENA data is the ENA Browser, which is available through REST URLs for easy programmatic use. All ENA data are available through the ENA Browser. Note: EMBL Nucleotide Sequence Database (EMBL-Bank) is entirely included within this resource. | analysis, bioinformatics, dna, nucleotide, sequencing, web service, rna, molecular biology, nucleotide sequence, protein, gene expression, gene, genome, biochemistry, molecular structure, metabolite, protein binding, chemogenomics, gold standard |
is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is related to: NCBI Sequence Read Archive (SRA) is related to: ENA Sequence Version Archive is related to: VBASE2 is related to: DDBJ Sequence Read Archive is related to: ISA Infrastructure for Managing Experimental Metadata is related to: DNA DataBank of Japan (DDBJ) is related to: DNA DataBank of Japan (DDBJ) is related to: NCBI is related to: INSDC is related to: INSDC is related to: NCBI Assembly Archive Viewer has parent organization: European Bioinformatics Institute is parent organization of: ENA Sequence Search works with: Eutherian comparative genomic analysis protocol |
EMBL ; Wellcome Trust ; European Union |
PMID:20972220 | Public, The community can contribute to this resource, Acknowledgement requested | OMICS_01029, r3d100010527, nif-0000-32981 | http://www.ebi.ac.uk/embl/, https://doi.org/10.17616/R3HW3J | SCR_006515 | ENA, European Nucleotide Archive | 2026-09-12 12:56:41 | 1344 | ||||
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Phenotypes and eXposures Toolkit Resource Report Resource Website 50+ mentions |
Phenotypes and eXposures Toolkit (RRID:SCR_006532) | PhenX Toolkit | catalog, data or information resource, data set, database, narrative resource, service resource, standard specification | Set of measures intended for use in large-scale genomic studies. Facilitate replication and validation across studies. Includes links to standards and resources in effort to facilitate data harmonization to legacy data. Measurement protocols that address wide range of research domains. Information about each protocol to ensure consistent data collection.Collections of protocols that add depth to Toolkit in specific areas.Tools to help investigators implement measurement protocols. | PhenX project, genome, phenotype, genome-wide association study, genetic variation, genomic study, substance abuse, addiction, substance use, environmental exposure, disease susceptibility, outcome, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: RTI International has parent organization: Consensus Measures for Phenotype and Exposure has parent organization: Trans-Omics for Precision Medicine (TOPMed) Program has organization facet: PhenX Phenotypic Terms is organization facet of: Consensus Measures for Phenotype and Exposure |
NCI ; NHGRI U01 HG004597; NHGRI U24 HG012556; NHGRI U41HG007050; NHLBI ; NIDA ; NIMHD ; NIMH ; NINDS ; OBSSR ; ODP ; TRSP |
PMID:21749974 | Restricted | SCR_017475, biotools:PhenX_toolkit, nlx_144102 | https://bio.tools/PhenX_Toolkit | SCR_006532 | Phenotypes and eXposures Toolkit | 2026-09-12 12:56:41 | 73 | ||||
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Rat Genome Database (RGD) Resource Report Resource Website 100+ mentions |
Rat Genome Database (RGD) (RRID:SCR_006444) | RGD | data or information resource, data repository, database, service resource, storage service resource | Database for genetic, genomic, phenotype, and disease data generated from rat research. Centralized database that collects, manages, and distributes data generated from rat genetic and genomic research and makes these data available to scientific community. Curation of mapped positions for quantitative trait loci, known mutations and other phenotypic data is provided. Facilitates investigators research efforts by providing tools to search, mine, and analyze this data. Strain reports include description of strain origin, disease, phenotype, genetics, immunology, behavior with links to related genes, QTLs, sub-strains, and strain sources. | RIN, Resource Information Network, mouse, rat, human, gene, qtl, marker, map, strain, sequence, est, genome, ontology, pathway, comparative genomics, physiology, phenotype, disease, model organism, proteomics, function, genetic, genomic, variation, immunology, behavior, knockout, inbred rat strain, mutant, congenic rat, recombinant inbred rat, data analysis service, organism supplier, genotype, gold standard, FASEB list, RRID Community Authority |
uses: InterMOD is used by: ChannelPedia is used by: Resource Identification Portal is used by: DisGeNET is used by: Integrated Animals is used by: NIH Heal Project is recommended by: Resource Identification Portal is listed by: re3data.org is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: Rat Gene Symbol Tracker is related to: MPO is related to: NIF Data Federation is related to: MONARCH Initiative is related to: Vertebrate Trait Ontology is related to: Biositemaps is related to: One Mind Biospecimen Bank Listing is related to: AmiGO is related to: OMICtools is related to: re3data.org is related to: Integrated Manually Extracted Annotation is related to: OntoMate has parent organization: Medical College of Wisconsin; Wisconsin; USA is parent organization of: Diabetes Disease Portal is parent organization of: Rat Strain Ontology is parent organization of: Rat Strain Ontology is parent organization of: Renal Disease Portal is organization facet of: Alliance of Genome Resources |
NHLBI | PMID:23434633 PMID:18996890 PMID:17151068 |
Free, Freely available | nif-0000-00134, r3d100010417, OMICS_01660 | https://doi.org/10.17616/R3WK60 | SCR_006444 | , Rat Genome Database, RGD | 2026-09-12 12:56:40 | 280 | ||||
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GigaScience Resource Report Resource Website 10+ mentions |
GigaScience (RRID:SCR_006565) | GigaScience | data or information resource, data repository, database, journal article, service resource, storage service resource | An online open-access open-data journal, publishing ''big-data'' studies from the entire spectrum of life and biomedical sciences whose publication format links standard manuscript publication with its affiliated database, GigaDB, that hosts all associated data, provides data analysis tools, cloud-computing resources, and a DOI assignment to every dataset. GigaScience covers not just ''omic'' type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale sharable data. Supporting the open-data movement, they require that all supporting data and source code be publicly available in a suitable public repository and/or under a public domain CC0 license in the BGI GigaScience database. Using the BGI cloud as a test environment, they also consider open-source software tools / methods for the analysis or handling of large-scale data. When submitting a manuscript, please contact them if you have datasets or cloud applications you would like them to host. To maximize data usability submitters are encouraged to follow best practice for metadata reporting and are given the opportunity to submit in ISA-Tab format. | genomics, biomedical, biological, dna, genome, biotechnology, medicine, health, digital object identifier, data sharing |
is listed by: OMICtools is listed by: re3data.org has parent organization: BGI; Shenzhen; China is parent organization of: GigaDB is parent organization of: Retinal wave repository |
The community can contribute to this resource, Creative Commons Zero License | OMICS_01834, nlx_71355 | SCR_006565 | Giga Science | 2026-09-12 12:56:42 | 24 | |||||||
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FlyBase Resource Report Resource Website 1000+ mentions |
FlyBase (RRID:SCR_006549) | FB | data or information resource, data repository, database, organism-related portal, portal, service resource, storage service resource, topical portal | Database of Drosophila genetic and genomic information with information about stock collections and fly genetic tools. Gene Ontology (GO) terms are used to describe three attributes of wild-type gene products: their molecular function, the biological processes in which they play a role, and their subcellular location. Additionally, FlyBase accepts data submissions. FlyBase can be searched for genes, alleles, aberrations and other genetic objects, phenotypes, sequences, stocks, images and movies, controlled terms, and Drosophila researchers using the tools available from the "Tools" drop-down menu in the Navigation bar. | RIN, Resource Information Network, mutant, gene, genome, blast, genotype, phenotype, allele, sequence, stock, image, movie, controlled term, video resource, image collection, life-cycle, genome, expression, rna-seq, genetics, drosophilidae, bio.tools, FASEB list, RRID Community Authority |
is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is used by: Drososhare is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: Resource Information Network is related to: FlyMine is related to: Virtual Fly Brain is related to: AmiGO is related to: Drosophila melanogaster Exon Database is related to: HomoloGene is related to: UniParc at the EBI is related to: UniParc is related to: Gene Ontology is related to: NIH Data Sharing Repositories is related to: GBrowse is related to: Integrated Manually Extracted Annotation is related to: PhenoGO has parent organization: Harvard University; Cambridge; United States has parent organization: University of Cambridge; Cambridge; United Kingdom has parent organization: Indiana University; Indiana; USA has parent organization: University of New Mexico; New Mexico; USA is parent organization of: Drosophila anatomy and development ontologies is parent organization of: Fly Taxonomy is parent organization of: FlyBase Controlled Vocabulary is parent organization of: Drosophila Development Ontology is organization facet of: Alliance of Genome Resources |
Indiana Genomics Initiative ; MRC ; NIH Blueprint for Neuroscience Research ; NIHGRI P41 HG000739; NSF |
PMID:24234449 PMID:22127867 PMID:18948289 PMID:18641940 PMID:18160408 PMID:17099233 PMID:16381917 PMID:15608223 PMID:12519974 PMID:11752267 PMID:11465064 PMID:9847148 PMID:9399806 PMID:9045212 PMID:8594600 PMID:8578603 PMID:7937045 PMID:7925011 |
nif-0000-00558, r3d100010591, OMICS_01649, biotools:flybase | https://bio.tools/flybase, https://doi.org/10.17616/R3903Q | http://flybase.net | SCR_006549 | flybase A Drosophila Genomic and Genetic Database, FlyBase: A Database of Drosophila Genes and Genomes, FLYBASE, FlyBase: A Database of Drosophila Genes & Genomes, FB | 2026-09-12 12:56:41 | 4234 | ||||
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Ensembl Resource Report Resource Website 10000+ mentions |
Ensembl (RRID:SCR_002344) | data or information resource, database | Collection of genome databases for vertebrates and other eukaryotic species with DNA and protein sequence search capabilities. Used to automatically annotate genome, integrate this annotation with other available biological data and make data publicly available via web. Ensembl tools include BLAST, BLAT, BioMart and the Variant Effect Predictor (VEP) for all supported species. | collection, genome, dataset, database, vertebrate, eukaryotic, DNA, protein, sequence, search, automaticly, annotate, data, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Animal QTLdb is used by: ChannelPedia is used by: Blueprint Epigenome is used by: HmtPhenome lists: Ensembl Covid-19 is listed by: OMICtools is listed by: Biositemaps is listed by: re3data.org is listed by: LabWorm is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Ensembl Genomes is related to: GermOnline is related to: CandiSNPer is related to: Human Splicing Finder is related to: NGS-SNP is related to: Sanger Mouse Resources Portal is related to: DECIPHER is related to: Ensembl Genomes is related to: PeptideAtlas is related to: AnimalTFDB is related to: Bgee: dataBase for Gene Expression Evolution is related to: FlyMine is related to: Rat Gene Symbol Tracker is related to: UniParc at the EBI is related to: go-db-perl is related to: UniParc is related to: g:Profiler is related to: RIKEN integrated database of mammals is related to: VBASE2 is related to: p300db is related to: ShinyGO has parent organization: European Bioinformatics Institute has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom is parent organization of: Ensembl Metazoa is parent organization of: Ensembl Variation is parent organization of: Pre Ensembl is parent organization of: Variant Effect Predictor is parent organization of: Ensembl Bacteria is parent organization of: Ensembl Plants is parent organization of: Ensembl Fungi is parent organization of: Ensembl Protists is parent organization of: Ensembl Genome Browser works with: Genotate works with: CellPhoneDB works with: Open Regulatory Annotation Database works with: Database of genes related to Repeat Expansion Diseases works with: TarBase |
BBSRC ; EMBL ; European Union ; FP6 ; FP7 ; MRC ; NHGRI ; Wellcome Trust |
PMID:24316576 PMID:23203987 |
nif-0000-21145, OMICS_01647, biotools:ensembl, r3d100010228 | https://bio.tools/ensembl, https://sources.debian.org/src/ensembl/, https://doi.org/10.17616/R39K5B | SCR_002344 | ENSEMBL | 2026-09-12 12:55:40 | 12374 | ||||||
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Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis Resource Report Resource Website 50+ mentions |
Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (RRID:SCR_002676) | CAMERA | analysis service resource, data analysis service, data or information resource, data repository, organization portal, portal, production service resource, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016; however, the URL provides links to associated projects and data. A suite of data query, download, upload, analysis and sharing tools serving the needs of the microbial ecology research community, and other scientists using metagenomics data. | ecology, energy, environment, gene, analysis, bioinformatics, biological, biology, community, cyberinfrastructure, data, dna, genome, genomics, health care, map, marine, metadata, metagenomic, microbial, microbiology, molecular biology, organism, research, scientific, sequence, sequencing, software, tool, training, viral |
is listed by: OMICtools is related to: VIROME has parent organization: University of California at San Diego; California; USA |
Gordon and Betty Moore Foundation | PMID:21045053 | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_011924, OMICS_01476, nif-0000-23292 | SCR_002676 | 2026-09-12 12:55:44 | 83 |
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