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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Dictyostelium discoideum genome database Resource Report Resource Website 100+ mentions |
Dictyostelium discoideum genome database (RRID:SCR_006643) | dictyBase, dictyBase gene name, dictyBase REF, DictyBase | biomaterial supply resource, material resource, organism supplier | Model organism database for the social amoeba Dictyostelium discoideum that provides the biomedical research community with integrated, high quality data and tools for Dictyostelium discoideum and related species. dictyBase houses the complete genome sequence, ESTs, and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome to provide a ''''reference genome'''' in the Amoebozoa clade. They highlight several new features in the present update: (i) new annotations; (ii) improved interface with web 2.0 functionality; (iii) the initial steps towards a genome portal for the Amoebozoa; (iv) ortholog display; and (v) the complete integration of the Dicty Stock Center with dictyBase. The Dicty Stock Center currently holds over 1500 strains targeting over 930 different genes. There are over 100 different distinct amoebozoan species. In addition, the collection contains nearly 600 plasmids and other materials such as antibodies and cDNA libraries. The strain collection includes: * strain catalog * natural isolates * MNNG chemical mutants * tester strains for parasexual genetics * auxotroph strains * null mutants * GFP-labeled strains for cell biology * plasmid catalog The Dicty Stock Center can accept Dictyostelium strains, plasmids, and other materials relevant for research using Dictyostelium such as antibodies and cDNA or genomic libraries. | genome, sequence, est, literature, gene model, functional annotation, reference genome, gene, antibody, cdna, bacteria, dictyostelium discoideum, dictyostelium purpureum, dictyostelium fasciculatum, polysphondylium pallidium, bio.tools |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Textpresso has parent organization: Northwestern University; Illinois; USA has parent organization: Baylor University; Texas; USA has parent organization: University of Cologne; Cologne; Germany is parent organization of: Dictyostelium Discoideum Anatomy Ontology is parent organization of: Dictyostelium Anatomy Ontology is parent organization of: dictyBase - Teaching Tools Using Dictyostelium discoideum |
NIGMS GM64426; NIGMS GM087371; NHGRI HG0022; European Union |
PMID:23172289 PMID:21087999 PMID:18974179 PMID:14681427 PMID:16381903 |
nif-0000-20974, biotools:dictybase, SCR_008149, nif-0000-02751, OMICS_03158 | https://bio.tools/dictybase | http://genome.imb-jena.de/dictyostelium/ | SCR_006643 | dictyBase gene name, dictyBase REF, Dicty, dictyBase, Dictyostelium discoideum | 2026-08-03 09:33:12 | 306 | ||||
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Phytozome Resource Report Resource Website 1000+ mentions |
Phytozome (RRID:SCR_006507) | Phytozome | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | A comparative platform for green plant genomics. Families of orthologous and paralogous genes that represent the modern descendents of ancestral gene sets are constructed at key phylogenetic nodes. These families allow easy access to clade specific orthology / paralogy relationships as well as clade specific genes and gene expansions. As of release v9.1, Phytozome provides access to forty-one sequenced and annotated green plant genomes which have been clustered into gene families at 20 evolutionarily significant nodes. Where possible, each gene has been annotated with PFAM, KOG, KEGG, and PANTHER assignments, and publicly available annotations from RefSeq, UniProt, TAIR, JGI are hyper-linked and searchable., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genome, genomics, plant, green plant, cluster sequence, alignment, gene, node, cluster, blast, blat, biomart, peptide homolog, gene ancestry, sequence, annotation, gene structure, gene family, genome organization, comparative genomics, physiology, comparative, bio.tools, FASEB list |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: Plant Co-expression Annotation Resource has parent organization: DOE Joint Genome Institute has parent organization: Lawrence Berkeley National Laboratory |
Gordon and Betty Moore Foundation ; DOE DE-AC02-05CH11231 |
PMID:22110026 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:phytozome, nlx_151490, r3d100010850 | https://bio.tools/phytozome, https://doi.org/10.17616/R38021 | SCR_006507 | 2026-08-03 09:33:05 | 3108 | |||||
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NAGRP Bioinformatics Coordination Program Resource Report Resource Website 50+ mentions |
NAGRP Bioinformatics Coordination Program (RRID:SCR_006564) | NAGRP Bioinformatics Coordination Program | topical portal, data or information resource, portal, service resource | We at NRSP-8 bioinformatics coordination program strive to serve the animal genomics research community to better use computer tools and methods, to best utilize available resources, and in working with researchers in the community, to effectively share, combine, manage, manipulate, and analyze information from genomics/genetics studies. This site is designed as an information center to serve the national animal genome research projects of cattle, chicken, pigs, sheep, horse, and aquaculture species. This is home to databases and web sites (being) built for structural, functional and application oriented studies of the animal genomics, to serve the purpose of research, education and related activities in the scientific, industrial and educational communities in the states and world wide. The challenges in bioinformatics support/research for animal genomics may involve * Effective data collection, organization and management * Rapid development of most needed bioinformatics tools and resources * Efficient use of these tools for innovative data analysis Projects: * Animal Trait Ontology (ATO) Project * Virtual Comparative Genomics * The Past, the Current, and the Potentials * Collaborative and Hosted Works | genome, bioinformatics, genomics, sequencing, aquaculture species, computing |
has parent organization: Iowa State University; Iowa; USA is parent organization of: CateGOrizer is parent organization of: Pig Genome Database is parent organization of: Animal QTLdb |
USDA | nlx_149170 | SCR_006564 | USDA NRSP-8 Program Bioinformatics Coordination Project, NAGRP NRSP-8 Bioinformatics Coordination Program, National Animal Genome Research Program NRSP-8 Bioinformatics Coordination Program, National Animal Genome Research Program Bioinformatics Coordination Project | 2026-08-03 09:33:10 | 84 | |||||||
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Genome Reference Consortium Resource Report Resource Website 10+ mentions |
Genome Reference Consortium (RRID:SCR_006553) | GRC | organization portal, portal, database, consortium, data or information resource | Consortium that puts sequences into a chromosome context and provides the best possible reference assembly for human, mouse, and zebrafish via FTP. Tools to facilitate the curation of genome assemblies based on the sequence overlaps of long, high quality sequences. | sequnence, chromosome, reference, assembly, human, mouse, zebrafish, genome, sequence, overlap |
is related to: Zebrafish Genome Project has parent organization: NCBI |
NIH | nif-0000-20983 | http://genomereference.org | http://www.ncbi.nlm.nih.gov/genome/assembly/grc/index.shtml | SCR_006553 | Genome Reference Consortium | 2026-08-03 09:33:09 | 42 | |||||
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InParanoid: Eukaryotic Ortholog Groups Resource Report Resource Website 100+ mentions |
InParanoid: Eukaryotic Ortholog Groups (RRID:SCR_006801) | InParanoid | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Collection of pairwise comparisons between 100 whole genomes generated by a fully automatic method for finding orthologs and in-paralogs between TWO species. Ortholog clusters in the InParanoid are seeded with a two-way best pairwise match, after which an algorithm for adding in-paralogs is applied. The method bypasses multiple alignments and phylogenetic trees, which can be slow and error-prone steps in classical ortholog detection. Still, it robustly detects complex orthologous relationships and assigns confidence values for in-paralogs. The original data sets can be downloaded. | protein, ortholog, genome, drosophila pseudoobscura, duplication, entamoeba histolytica, escherichia colik12, eukaryotic, gasterosteus aculeatus, gene, aedes aegypti, apis mellifera, bos taurus, caenorhabditis remanei, candida glabrata, canis familiaris, ciona intestinalis, cryptococcus neoformans, debaromyces hansenii, dictyostelium discoideum, genomic, homolog, inparalog, kluyveromyces lactis, macaca mulatta, monodelphis domestica, orthology, oryza sativa, outparalog, proteome, tetraodon nigroviridis, xenopus tropicalis, blast, proteome, ortholog cluster, cluster, in-paralog, paralog, automatic clustering, genome comparison, FASEB list | has parent organization: Stockholm University; Stockholm; Sweden | Swedish Research Council ; Karolinska Institutet; Stockholm; Sweden ; Pfizer Corporation |
PMID:19892828 PMID:18055500 PMID:15608241 PMID:11743721 |
Acknowledgement requested | nif-0000-03024 | http://www.cgb.ki.se/inparanoid/ | SCR_006801 | Inparanoid eukaryotic ortholog database | 2026-08-03 09:33:10 | 186 | ||||
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PeptideAtlas Resource Report Resource Website 100+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | data repository, data or information resource, database, storage service resource, service resource | Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database. | proteomics, peptide, mass spectrometry, annotation, eukaryotic, genome, peptide sequence, high-throughput mass spectrometry, ensembl, peptideprophet, protein sequence, blood plasma, protein, eukaryotic cell, dna, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: ProteomeXchange 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: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: ProteomeXchange is related to: NIH Data Sharing Repositories is related to: Integrated Manually Extracted Annotation has parent organization: Institute for Systems Biology; Washington; USA |
NCI ; NHGRI ; NIGMS |
PMID:20013378 PMID:23215161 PMID:16381952 PMID:15642101 |
Public, The community can contribute to this resource, Acknowledgement requested | nif-0000-03266, r3d100010889, biotools:peptideatlas | https://bio.tools/peptideatlas, https://doi.org/10.17616/R3BK61 | SCR_006783 | Peptide Atlas, PeptideAtlas | 2026-08-03 09:33:14 | 479 | ||||
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Rice Genome Annotation Resource Report Resource Website 1000+ mentions |
Rice Genome Annotation (RRID:SCR_006663) | Osa1 | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Database and resource that provides sequence and annotation data for the rice genome. This website provides genome sequence from the Nipponbare subspecies of rice and annotation of the 12 rice chromosomes. All structural and functional annotation is viewable through our Rice Genome Browser which currently supports 75 tracks of annotation. Enhanced data access is available through web interfaces, FTP downloads and a Data Extractor tool developed in order to support discrete dataset downloads. Rice is a model species for the monocotyledonous plants and the cereals which are the greatest source of food for the world''s population. While rice genome sequence is available through multiple sequencing projects, high quality, uniform annotation is required in order for genome sequence data to be fully utilized by researchers. The existence of a common gene set and uniform annotation allows researchers within the rice community to work from a common resource so that their results can be more easily interpreted by other scientists. The objective of this project has always been to provide high quality annotation for the rice genome. They generated, refined and updated gene models for the estimated 40,000-60,000 total rice genes, provided standardized annotation for each model, linked each model to functional annotation including expression data, gene ontologies, and tagged lines. They have provided a resource to extend the annotation of the rice genome to other plant species by providing comparative alignments to other plant species. Analysis/Tools are available including: BLAST, Locus Name Search, Functional Term Search, Protein Domain Search, Anatomy Expression Viewer, Highly Expressed Genes | rice, oryza sativa, maize, corn, zea mays, wheat, triticum aestivum, gene, genome, annotation, FASEB list |
is listed by: OMICtools has parent organization: Michigan State University; Michigan; USA |
NSF DBI-0321538; NSF DBI-0834043 |
PMID:17145706 | Acknowledgement requested | OMICS_01563, nif-0000-31459 | http://rice.tigr.org | http://rice.plantbiology.msu.edu/pseudomolecules/info.shtml | SCR_006663 | Rice Genome Annotation Project, MSU Rice Genome Annotation Project Database and Resource | 2026-08-03 09:33:12 | 1423 | |||
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Descriptions of Plant Viruses Resource Report Resource Website 10+ mentions |
Descriptions of Plant Viruses (RRID:SCR_006656) | topical portal, data or information resource, database, portal | DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. For comparative purposes, it also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA genome. The start and end positions of each feature (gene, non-translated region and the like) have been recorded and checked for accuracy. As far as possible, nomenclature for genes and proteins are standardized within genera and families. Sequences of features (either as DNA or amino acid sequences) can be directly downloaded from the website in FASTA format. The sequence information can also be accessed via client software for PC computers (freely downloadable from the website) that enable users to make an easy selection of sequences and features of a chosen virus for further analyses. The public sequence databases contain vast amounts of data on virus genomes but accessing and comparing the data, except for relatively small sets of related viruses can be very time consuming. The procedure is made difficult because some of the sequences on these databases are incorrectly named, poorly annotated or redundant. The NCBI Reference Sequence project (1) provides a comprehensive, integrated, non-redundant set of sequences, including genomic DNA, transcript (RNA) and protein products, for major research organisms. This now includes curated information for a single sequence of each fully sequenced virus species. While this is a welcome development, it can only deal with complete sequences. An important feature of DPV is the opportunity to access genes (and other features) of multiple sequences quickly and accurately. Thus, for example, it is easy to obtain the nucleotide or amino acid sequences of all the available accessions of the coat protein gene of a given virus species or for a group of viruses. To increase its usefulness further, DPVweb also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA (ssDNA) genome. Sponsors: This site is supported by the Association of Applied Biologists and the Zhejiang Academy of Agricultural Sciences, Hangzhou, People''s Republic of China. | family, fungi, gene, amino acid, comparative, development, dna, genome, genomic, genus, nomenclature, non-translated, nucleotide, organism, plant, product, protein, protozoa, region, rna, satellite, sequence, single, specie, taxonomic, transcript, viral databases, viroid, virus, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-21127, biotools:dpvweb | https://bio.tools/dpvweb | SCR_006656 | DPV | 2026-08-03 09:33:08 | 11 | ||||||||
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Ensembl Genomes Resource Report Resource Website 100+ mentions |
Ensembl Genomes (RRID:SCR_006773) | web service, database, data access protocol, data or information resource, software resource | Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site. | genome, gold standard, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: Ensembl is related to: g:Profiler has parent organization: European Bioinformatics Institute |
European Molecular Biology Laboratory ; European Union FELICS 021902 (RII3); BBSRC BB/F019793/1 |
PMID:24163254 PMID:19884133 |
r3d100011197, OMICS_01648, nlx_65207, biotools:ensembl_genomes | https://bio.tools/ensembl_genomes, https://doi.org/10.17616/R3MW6M | SCR_006773 | Ensembl Genomes: Extending Ensembl across the taxonomic space, EnsemblGenomes, Ensembl Genome | 2026-08-03 09:33:10 | 276 | ||||||
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REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | data repository, data or information resource, database, storage service resource, service resource | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NSF EF0843229; NIGMS U24 GM144232 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-08-03 09:33:10 | 14 | ||||
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Pathosystems Resource Integration Center Resource Report Resource Website 1000+ mentions |
Pathosystems Resource Integration Center (RRID:SCR_004154) | PATRIC | production service resource, data analysis service, service resource, bioinformatics resource center, database, analysis service resource, data or information resource | A Bioinformatics Resource Center bacterial bioinformatics database and analysis resource that provides researchers with an online resource that stores and integrates a variety of data types (e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data) and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes, currently more than 10 000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. The PATRIC project includes three primary collaborators: the University of Chicago, the University of Manchester, and New City Media. The University of Chicago is providing genome annotations and a PATRIC end-user genome annotation service using their Rapid Annotation using Subsystem Technology (RAST) system. The National Centre for Text Mining (NaCTeM) at the University of Manchester is providing literature-based text mining capability and service. New City Media is providing assistance in website interface development. An FTP server and download tool are available. | genomics, genome, transcriptomics, protein-protein interaction, sequence typing, proteobacteria, brucella, rickettsia, coxiella, coronavirus, calicivirus, lyssavirus, virus, hepatitis a, hepatitis e, pathway, proteome, metabolic pathway, drug, vaccine, diagnostics, FASEB list |
is listed by: OMICtools has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
NIAID | PMID:24225323 PMID:17142235 |
Free, Public, Acknowledgement requested | r3d100010142, OMICS_01658, nlx_17476 | http://patricbrc.vbi.vt.edu/portal/portal/patric/Home, https://doi.org/10.17616/R3WS3X | http://patric.vbi.vt.edu/ | SCR_004154 | PathoSystems Resource Integration Center, PATRIC, Pathosystems Resource Integration Center | 2026-08-03 09:32:37 | 1083 | |||
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Gene Weaver Resource Report Resource Website 10+ mentions |
Gene Weaver (RRID:SCR_003009) | data repository, production service resource, data analysis service, service resource, database, storage service resource, analysis service resource, data or information resource | Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration. | phenotype, microarray, gene, genome, functional genomics, process, pathway, function, gene set, genomic data integration, analysis, visualization |
is used by: NIF Data Federation is used by: Integrated Datasets is listed by: OMICtools is related to: Integrated Manually Extracted Annotation has parent organization: Jackson Laboratory |
Integrative Neuroscience Initiative on Alcoholism ; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA R01 AA18776 |
PMID:22080549 PMID:19733230 |
Free, Freely available | r3d100012464, OMICS_02232, nif-0000-00517 | http://ontologicaldiscovery.org/, https://doi.org/10.17616/R3248T | SCR_003009 | GeneWeaver, GeneWeaver - A system for the integration of functional genomics experiments, Ontological Discovery Environment, GeneWeaver.org | 2026-08-03 09:31:55 | 34 | |||||
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Sequence Tag Alignment and Consensus Knowledgebase Database Resource Report Resource Website |
Sequence Tag Alignment and Consensus Knowledgebase Database (RRID:SCR_002156) | database, software application, data processing software, data or information resource, software resource, data visualization software | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The STACKdb is knowledgebase generated by processing EST and mRNA sequences obtained from GenBank through a pipeline consisting of masking, clustering, alignment and variation analysis steps. The STACK project aims to generate a comprehensive representation of the sequence of each of the expressed genes in the human genome by extensive processing of gene fragments to make accurate alignments, highlight diversity and provide a carefully joined set of consensus sequences for each gene. The STACK project is comprised of the STACKdb human gene index, a database of virtual human transcripts, as well as stackPACK, the tools used to create the database. STACKdb is organized into 15 tissue-based categories and one disease category. STACK is a tool for detection and visualization of expressed transcript variation in the context of developmental and pathological states. The data system organizes and reconstructs human transcripts from available public data in the context of expression state. The expression state of a transcript can include developmental state, pathological association, site of expression and isoform of expressed transcript. STACK consensus transcripts are reconstructed from clusters that capture and reflect the growing evidence of transcript diversity. The comprehensive capture of transcript variants is achieved by the use of a novel clustering approach that is tolerant of sub-sequence diversity and does not rely on pairwise alignment. This is in contrast with other gene indexing projects. STACK is generated at least four times a year and represents the exhaustive processing of all publicly available human EST data extracted from GenBank. This processed information can be explored through 15 tissue-specific categories, a disease-related category and a whole-body index | exonic, expressed, expressed sequence tag (est), expression, fragment, gene, alignment, alternative gene, cdna, clone, cluster, developmental, disease, diversity, genome, homo sapiens, human, isoform, knowledgebase, meta-cluster, mrna, pathological, sequence, tissue, transcript, variant, visualization | PMID:11125101 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20946 | SCR_002156 | STACKdb | 2026-08-03 09:31:46 | 0 | ||||||||
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UK Sheep Genome Mapping Project Resource Report Resource Website 1+ mentions |
UK Sheep Genome Mapping Project (RRID:SCR_002272) | topical portal, data or information resource, database, portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The project aims to apply genome mapping research to sheep, utilizing previous research in sheep (in other countries) and in other species (in the UK and abroad) to the benefit of the UK sheep industry. The project itself uses existing breeding structures, knowledge of the sheep genome and experimental resources. It has three main aims: i) To use the Suffolk, Texel and Charollais Sire Referencing Schemes to detect and verify quantitative trait loci (QTLs) for growth and carcass composition traits ii) To investigate candidate genes and/or chromosomal regions for associations with production traits. iii) To investigate approaches for optimizing future genotyping strategies within the sire referencing schemes for practical and cost effective application of marker-assisted selection By using commercial breeding populations for the research, immediate application of beneficial results is possible. Potential benefits include increased genetic progress through marker assisted selection which utilizes the genotype information, correction of possible parentage errors (ultimately leading to additional genetic progress) and opportunities for using marker information for product certification. The project will benefit the UK sheep industry by the use of Marker Assisted Selection (MAS) utilizing QTL or gene variants identified in the project. Additional benefits may arise from parentage verification and correction of errors e.g. misallocation of lamb to ewe. In the longer term, opportunities may exist to use markers for quality control, tracing products to their source. The major advantage of the design of this project is that the results are immediately applicable to the breeding schemes within which the QTLs and/or genes are detected. The time lag in the application of the results that is often seen with experimental populations is minimized. The project requires close involvement with the Sire Reference Schemes, in return for their assistance the results have immediate benefit to animals within these groups. | gene, animal, breed, breeding, chromosomal, chromosome, genome, genotype, genotyping, lamb, map, mapping, marker, population, production, region, sheep, specie, structure, trait | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20995 | SCR_002272 | UKSGMP | 2026-08-03 09:31:44 | 1 | |||||||||
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SoyBase Resource Report Resource Website 500+ mentions |
SoyBase (RRID:SCR_005096) | SoyBase | data repository, production service resource, data analysis service, ontology, service resource, database, storage service resource, analysis service resource, controlled vocabulary, data or information resource | Professionally curated repository for genetics, genomics and related data resources for soybean that contains the most current genetic, physical and genomic sequence maps integrated with qualitative and quantitative traits. SoyBase includes annotated Williams 82 genomic sequence and associated data mining tools. The genetic and sequence views of the soybean chromosomes and the extensive data on traits and phenotypes are extensively interlinked. This allows entry to the database using almost any kind of available information, such as genetic map symbols, soybean gene names or phenotypic traits. The repository maintains controlled vocabularies for soybean growth, development, and traits that are linked to more general plant ontologies. Contributions to SoyBase or the Breeder''s Toolbox are welcome. | soybean, gene, genetic map, genome, data set, trait, phenotype, molecular biology, sequence, chromosome, quantitative trait locus, php, genetics, genomics, legume, bio.tools, FASEB list |
is listed by: 3DVC is listed by: re3data.org is listed by: Debian is listed by: bio.tools has parent organization: Iowa State University; Iowa; USA is parent organization of: Soybean Ontologies is parent organization of: Soy Ontology |
USDA Agricultural Research Service | PMID:20008513 | The community can contribute to this resource | nif-0000-03483, r3d100010846, biotools:soybase | https://bio.tools/soybase, https://doi.org/10.17616/R3S032 | SCR_005096 | SoyBase and the Soybean Breeder''s Toolbox, SoyBase and the Soybean Breeder''s Toolbox: Integrating Genetics and Molecular Biology for Soybean Researchers | 2026-08-03 09:32:36 | 646 | ||||
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SOURCE Resource Report Resource Website 50+ mentions |
SOURCE (RRID:SCR_005799) | SOURCE | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | SOURCE compiles information from several publicly accessible databases, including UniGene, dbEST, UniProt Knowledgebase, GeneMap99, RHdb, GeneCards and LocusLink. GO terms associated with LocusLink entries appear in SOURCE. The mission of SOURCE is to provide a unique scientific resource that pools publicly available data commonly sought after for any clone, GenBank accession number, or gene. SOURCE is specifically designed to facilitate the analysis of large sets of data that biologists can now produce using genome-scale experimental approaches Platform: Online tool | genomic, functional annotation, ontology, gene expression, gene, genome, statistical analysis, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: SMD |
NIGMS ; NCI CA85129-04; NIGMS GM07365 |
PMID:12519986 | Restricted | biotools:source, nlx_149287 | https://login.stanford.edu/idp/profile/SAML2/Redirect/SSO?execution=e1s1, https://bio.tools/source | SCR_005799 | 2026-08-03 09:32:47 | 69 | |||||
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JCVI CMR Resource Report Resource Website 10+ mentions |
JCVI CMR (RRID:SCR_005398) | JCVI_CMR, JCVI CMR, TIGR_CMR, TIGR CMR | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | Database of all of the publicly available, complete prokaryotic genomes. In addition to having all of the organisms on a single website, common data types across all genomes in the CMR make searches more meaningful, and cross genome analysis highlight differences and similarities between the genomes. CMR offers a wide variety of tools and resources, all of which are available off of our menu bar at the top of each page. Below is an explanation and link for each of these menu options. * Genome Tools: Find organism lists as well as summary information and analyses for selected genomes. * Searches: Search CMR for genes, genomes, sequence regions, and evidence. * Comparative Tools: Compare multiple genomes based on a variety of criteria, including sequence homology and gene attributes. SNP data is also found under this menu. * Lists: Select and download gene, evidence, and genomic element lists. * Downloads: Download gene sequences or attributes for CMR organisms, or go to our FTP site. * Carts: Select genome preferences from our Genome Cart or download your Gene Cart genes. The Omniome is the relational database underlying the CMR and it holds all of the annotation for each of the CMR genomes, including DNA sequences, proteins, RNA genes and many other types of features. Associated with each of these DNA features in the Omniome are the feature coordinates, nucleotide and protein sequences (where appropriate), and the DNA molecule and organism with which the feature is associated. Also available are evidence types associated with annotation such as HMMs, BLAST, InterPro, COG, and Prosite, as well as individual gene attributes. In addition, the database stores identifiers from other centers such as GenBank and SwissProt, as well as manually curated information on each genome or each DNA molecule including website links. Also stored in the Omniome are precomputed homology data, called All vs All searches, used throughout the CMR for comparative analysis. | microbial, prokaryotic, genome, annotation, dna sequence, protein, rna gene, blast, FASEB list |
is used by: NIF Data Federation is related to: AmiGO has parent organization: J. Craig Venter Institute is parent organization of: JCVI GenProp |
NSF ; NIAID ; DOE |
Free | nif-0000-03555 | SCR_005398 | JCVI Comprehensive Microbial Resource, J. Craig Venter Institute Comprehensive Microbial Resource, CMR, Comprehensive Microbial Resource | 2026-08-03 09:32:50 | 37 | ||||||
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VMD Resource Report Resource Website 1+ mentions |
VMD (RRID:SCR_004905) | PAMGO_VMD, VMD | production service resource, data analysis service, service resource, database, analysis service resource, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Database covering a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at Virginia Bioinformatics Institute. The data comes from different sources and has genomes of 3 oomycetes pathogens: Phytophthora sojae, Phytophthora ramorum and Hyaloperonospora arabidopsidis. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. Two different statistical methods were used to validate these gene models, Fickett''''s and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum could be assigned. An easy-to-use genome browser was created to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. | microbial genome sequence, genome, genome sequence, genome model, gene, image, oomycete, fungus, bacteria, phytophthora sojae, phytophthora ramorum, hyaloperonospora arabidopsidis, plant |
is used by: NIF Data Federation is related to: AmiGO has parent organization: Virginia Polytechnic Institute and State University; Virginia; USA |
USDA Cooperative State Research Education and Extension Service 2002-35600-12747; USDA Cooperative State Research Education and Extension Service 2004-35600-15055; NSF MCB-0242131; NSF EF-0412213; NSF DBI-0211863 |
PMID:16381891 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_87328 | http://phytophthora.vbi.vt.edu | SCR_004905 | VBI Microbial Database, Virginia Bioinformatics Institute Microbial Database | 2026-08-03 09:32:33 | 8 | ||||
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PLEXdb - Plant Expression Database Resource Report Resource Website 10+ mentions |
PLEXdb - Plant Expression Database (RRID:SCR_006963) | PLEXdb | data repository, portal, production service resource, data analysis service, service resource, database, topical portal, storage service resource, analysis service resource, data or information resource | PLEXdb (Plant Expression Database) is a unified gene expression resource for plants and plant pathogens. PLEXdb is a genotype to phenotype, hypothesis building information warehouse, leveraging highly parallel expression data with seamless portals to related genetic, physical, and pathway data. The integrated tools of PLEXdb allow investigators to use commonalities in plant biology for a comparative approach to functional genomics through use of large-scale expression profiling data sets. | gene expression, plant, plant pathogen, genotype, phenotype, genetic, physical, pathway, plant biology, compare, functional genomics, expression profiling, expression atlas, pathogen, genome, anova, cluster, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: FuncExpression has parent organization: Iowa State University; Iowa; USA |
UniNSF DBI-0543441; NSF IOS-0922746; USDA 3625-21000-049-00D |
PMID:22084198 | biotools:plexdb, r3d100011516, nlx_149236 | https://bio.tools/plexdb, https://doi.org/10.17616/R39D13 | SCR_006963 | PLEXdb - Gene expression resources for plants and plant pathogens, Plant Expression Database | 2026-08-03 09:33:13 | 21 | |||||
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Pig Genome Mapping Resource Report Resource Website |
Pig Genome Mapping (RRID:SCR_012884) | PiGMaP | image collection, data or information resource, atlas, database | Map of identifyied genes controlling traits of economic and welfare significance in the pig. The project objectives were to produce a genetic map with markers spaced at approximately 20 centiMorgan intervals over at least 90% of the pig genome; to produce a physical map with at least one distal and one proximal landmark locus mapped on each porcine chromosome arm and also genetically mapped; to develop a flow karyotype for the pig based on FACS sorted chromosomes; to develop PCR based techniques to enable rapid genotyping for polymorphic markers; to evaluate synteny conservation between pigs, man, mice and cattle; to develop and evaluate the statistical techniques required to analyze data from QTL mapping experiments and to plan and initiate the mapping of QTLs in the pig; to map loci affecting traits of economic and biological significance in the pig; and to develop the molecular tools to allow the future identification and cloning of mapped loci. Animal breeders currently assume that economically important traits such as growth, carcass composition and reproductive performance are controlled by an infinite number of genes each of infinitessimal effect. Although this model is known to be unrealistic, it has successfully underpinned the genetic improvement of livestock, including pigs, over recent decades. A map of the pig genome would allow the development of more realistic models of the genetic control of economic traits and the ultimately the identification of the major trait genes. This would allow the development of more efficient marker assisted selection which may be of particular value for traits such as disease resistance and meat quality. | gene, genetic, artificial chromosome, bacteriophage, biological, carcass, cattle, cdna, comparative, disease, genome, genotype, growth, human, karyotpe, linkage, livestock, locus, map, mapping, marker, mice, molecular, p1, pig, quality, quantitative, sus scrofa, trait, yeast | has parent organization: Roslin Institute | PMID:7749223 | nif-0000-20987 | http://www.projects.roslin.ac.uk/pigmap/pigmap.html | SCR_012884 | PGM | 2026-08-03 09:35:16 | 0 |
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