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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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GeneAnswers Resource Report Resource Website 10+ mentions |
GeneAnswers (RRID:SCR_006498) | data processing software, data analysis software, software resource, software application, data visualization software | GeneAnswers provide an integrated tool for given genes biological or medical interpretation. It includes statistical test of given genes and specified categories. Microarray techniques have been widely employed in genomic scale studies for more than one decade. The standard analysis of microarray data is to filter out a group of genes from thousands of probes by certain statistical criteria. These genes are usually called significantly differentially expressed genes. Recently, next generation sequencing (NGS) is gradually adopted to explore gene transcription, methylation, etc. Also a gene list can be obtained by NGS preliminary data analysis. However, this type of information is not enough to understand the potential linkage between identified genes and interested functions. The integrated functional and pathway analysis with gene expression data would be very helpful for researchers to interpret the relationship between the identified genes and proposed biological or medical functions and pathways. The GeneAnswers package provides an integrated solution for a group of genes and specified categories (biological or medical functions, such as Gene Ontology, Disease Ontology, KEGG, etc) to reveal the potential relationship between them by means of statistical methods, and make user-friendly network visualization to interpret the results. Besides the package has a function to combine gene expression profile and category analysis together by outputting concept-gene cross tables, keywords query on NCBI Entrez Gene and application of human based Disease ontology analysis of given genes from other species can help people to understand or discover potential connection between genes and functions. Sponsors: This project was supported in part by Award Number UL1RR025741 from the National Center for Research Resources. | expression, function, gene, analysis, biological, genomic, medical, microarray, network, pathway, technique, transcription, visualization | has parent organization: Northwestern University; Illinois; USA | nif-0000-25387 | SCR_006498 | GeneAnswers | 2026-08-04 09:41:37 | 46 | |||||||||
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Plant Ontology Resource Report Resource Website 10+ mentions |
Plant Ontology (RRID:SCR_006494) | PO | ontology, database, data or information resource, controlled vocabulary | Ontology and database that links plant anatomy, morphology and growth and development to plant genomics data.Plant Ontology Consortium develops, curates and shares controlled vocabularies (ontologies) that describe plant structures and growth and developmental stages, providing semantic framework for meaningful cross species queries across databases. PO is under active development to expand to encompass terms and annotations from all plants. | obo, gene, development, anatomy, morphology, growth, genomics, database |
has parent organization: Oregon State University; Oregon; USA has parent organization: Cornell University; New York; USA |
NSF 0822201; NSF 0321685 |
PMID:18628842 PMID:18194960 |
SCR_006844, nlx_55564 | SCR_006494 | Plant Ontology Browser, PO Browser, Plant Ontology Consortium Database, PO Database, Plant Ontology Database, POC Database | 2026-08-04 09:41:36 | 31 | ||||||
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Unique Resource Report Resource Website 10+ mentions |
Unique (RRID:SCR_006492) | Unique | portal, patient-support portal, topical portal, disease-related portal, people resource, patient registry, data or information resource | Unique is a source of information and support to families and individuals affected by any rare chromosome disorder and to the professionals who work with them. Unique is a UK-based charity but welcomes members worldwide. Unique''''s Karyotype Database allows users to search the Registered Chromosome Disorders by chromosome, arm and disorder. You may have been given a diagnosis or indication of a chromosome disorder by a geneticist or other medical professional and they may have used a medical term which is unfamiliar to you. So to help you decide if Unique is the appropriate organization for you, we thought it would be useful to describe the different categories of rare chromosome disorder. Rare chromosome disorders can be grouped as structural disorders, numerical disorders and other miscellaneous disorders. Unique: * acts as an international family support group * produces a newsletter three times each year * works to promote awareness of rare chromosome disorders * arranges for families to assist in research into rare chromosome disorders * links families whose children have similar clinical and/or practical problems * works to ensure that the public at large are aware of rare chromosome disorders * works to raise funds to support the group activities and produce literature to make others more aware of our children''''s conditions * assists relevant research projects and the centralisation of information, at all times observing the need for total confidentiality * sets up local groups throughout the UK for families affected by any rare chromosome disorders and to give support and encouragement to each other * develops and maintains a comprehensive computerised database detailing the life-time effects of specific chromosome disorders on affected members * aims to hold an annual conference where families and relevant specialists can meet and be informed of the latest medical, technical and practical developments * liaises and works in co-operation, with other similar support groups and professionals world-wide for the benefit of families and individuals affected by rare chromosome disorders * ensures that hospitals, doctors, health authorities, genetic clinics and other professionals are aware of the group so that we may have early contact with families where required Membership of Unique is free but the group receives no government funding and is heavily reliant on donations and fundraising to continue its work. Please help us in whatever way you can. | chromosome, disorder, gene, karyotype, fish, arraycgh, genotype, phenotype, education, behavior, child development, communication, child, adolescent, rare disease, deletion, duplication, FASEB list | Rare chromosome disorder | nlx_151679 | SCR_006492 | Unique - The Rare Chromosome Disorder Support Group | 2026-08-04 09:41:37 | 46 | ||||||||
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Mouse Genome Informatics: The Gene Ontology Project Resource Report Resource Website 10+ mentions |
Mouse Genome Informatics: The Gene Ontology Project (RRID:SCR_006447) | database, data or information resource, controlled vocabulary | This resource is part of the Gene Ontology Consortium which seeks to provide controlled vocabularies for the description of the molecular function, biological process, and cellular component of gene products. These terms are to be used as attributes of gene products by collaborating databases, facilitating uniform queries across them. GO team members at MGI participate in ontology development, outreach, and functional curation of mouse gene products. The GO vocabularies have a hierarchical structure that permits a range of detail from high-level, broadly descriptive terms to very low level, highly specific terms. This broad range is useful both in annotating genes and in searching for gene information using these terms as search criteria. GO terms are defined, allowing all databases to use the terms consistently and properly. GO annotations in the databases additionally include the publication reference which allowed the association to be made and an evidence statement citing how the association was determined. | function, gene, biological, cellular, component, molecular, process, product |
is affiliated with: Gene Ontology has parent organization: Jackson Laboratory |
NHGRI HG002273 | Available to the research community | nif-0000-10304 | SCR_006447 | Gene Ontology (GO) Project, MGI: GO Project, Gene Ontology Project | 2026-08-04 09:41:35 | 12 | |||||||
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Leiden Open Variation Database Resource Report Resource Website 100+ mentions |
Leiden Open Variation Database (RRID:SCR_006566) | LOVD | data processing software, data storage software, storage service resource, software resource, software application, data repository, service resource, database, data or information resource | Freely available tool for Gene-centered collection and display of DNA variations. It also provides patient-centered data storage and storage of Next Generation Sequencing (NGS) data, even of variants outside of genes. Please note that LOVD provides a system for storage of information on genes and allelic variants. To obtain information about any genes or variants, do not download the LOVD package. This information should be obtained from the respective databases, http://www.lovd.nl/2.0/index_list.php In total: 2,507,027 variants (2,208,937 unique) in 170,935 individuals in 62619 genes in 88 LOVD installations. (Aug. 2013) LOVD 3.0 shared installation, http://databases.lovd.nl/shared/genes To maintain a high quality of the data stored, LOVD connects with various resources, like HGNC, NCBI, EBI and Mutalyzer. You can download LOVD in ZIP and GZIPped TARball formats. | genetic variation, genomic variant, gene, transcript, disease, next generation sequencing, dna variation, variant, clinical, screening, locus, phenotype, sequence variation, allelic variant, data sharing, FASEB list |
is listed by: OMICtools has parent organization: Leiden University; Leiden; Netherlands |
European Union FP7 GEN2PHEN 200754 | PMID:21520333 PMID:15977173 |
The community can contribute to this resource, Clearance to contribute required, GNU General Public License, Acknowledgement requested | nif-0000-02998, OMICS_00275, r3d100011905 | https://doi.org/10.17616/R3993T | SCR_006566 | Leiden Open Variation Database (LOVD) | 2026-08-04 09:41:39 | 238 | ||||
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OMIM Resource Report Resource Website 5000+ mentions |
OMIM (RRID:SCR_006437) | OMIM, MIM | database, catalog, data or information resource | Online catalog of human genes and genetic disorders, for clinical features, phenotypes and genes. Collection of human genes and genetic phenotypes, focusing on relationship between phenotype and genotype. Referenced overviews in OMIM contain information on all known mendelian disorders and variety of related genes. It is updated daily, and entries contain copious links to other genetics resources. | gene, genetics, phenotype, genotype, genetic loci, mutation, clinical, trait, disorder, umls, ontology, gold standard, FASEB list |
is used by: Human Phenotype Ontology is used by: NIF Data Federation is used by: MitoMiner is used by: Schizo-Pi is used by: GEMINI is used by: MARRVEL is used by: HmtPhenome is listed by: BioPortal is listed by: OMICtools is related to: HomoloGene is related to: TopoSNP is related to: phenomeNET is related to: Integrated Gene-Disease Interaction is related to: OMIA - Online Mendelian Inheritance in Animals is related to: Europhenome Mouse Phenotyping Resource is related to: Homophila is related to: Biomine is related to: MalaCards is related to: PhenoTips is related to: KOBAS is related to: Integrated Manually Extracted Annotation is related to: aGEM is related to: biomaRt has parent organization: Johns Hopkins University School of Medicine; Baltimore, Maryland; USA has parent organization: NCBI works with: Human Mouse Disease Connection works with: Database of genes related to Repeat Expansion Diseases |
Genetic disorder, Mendelian disorder, Developmental disorder | PMID:22477700 PMID:22470145 PMID:21472891 PMID:19728286 PMID:18842627 PMID:18428346 PMID:17642958 PMID:17357067 PMID:15608251 PMID:15360913 PMID:11752252 PMID:10845565 PMID:10612823 PMID:9805561 PMID:7937048 PMID:1867277 |
Restricted | nif-0000-03216, r3d100010416, OMICS_00278 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=omim, http://www.ncbi.nlm.nih.gov/Omim/, http://purl.bioontology.org/ontology/OMIM, https://doi.org/10.17616/R3188W | SCR_006437 | Online Mendelian Inheritance in Man, OMIM - Online Mendelian Inheritance in Man, MIM, The Online Mendelian Inheritance in Man Morbid Map | 2026-08-04 09:41:35 | 5456 | ||||
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InParanoid: Eukaryotic Ortholog Groups Resource Report Resource Website 100+ mentions |
InParanoid: Eukaryotic Ortholog Groups (RRID:SCR_006801) | InParanoid | data analysis service, analysis service resource, production service resource, service resource, database, 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 | 2026-08-04 09:41:42 | 186 | ||||
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Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project Resource Report Resource Website |
Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project (RRID:SCR_006630) | MGEIR | data analysis service, analysis service resource, expression atlas, production service resource, service resource, atlas, database, data or information resource | A unified resource that combines text-based and 3D graphical methods to store, display, and analyze mouse developmental gene expression information. The Mouse Gene Expression Information Resource resource will integrate the following components: * Gene Expression Database (GXD) - Integrates different types of expression data and provides links to many other resources to place the data into the larger biological and analytical context. * Anatomy Database - Provides the standard nomenclature for developmental anatomy. * 3D Atlas / Graphical Gene Expression Database - Provides a high-resolution digital representation of mouse anatomy reconstructed from serial sections of single embryos at each representative developmental stage enabling 3D graphical display and analysis of in situ expression data. | embryo, gene expression, gene, 3d, anatomy, atlas, biological, developmental, high-resolution, in situ, mouse, nomenclature, development, developmental stage, embryonic mouse, image |
is related to: Gene Expression Database is related to: eMouseAtlas has parent organization: Mouse Genome Informatics (MGI) |
MRC ; BBSRC ; European Science Foundation ; NICHD HD062499 |
nif-0000-10305 | SCR_006630 | Gene Expression Information Resource, Mouse Gene Expression Information Resource Project | 2026-08-04 09:41:39 | 0 | |||||||
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Rice Genome Annotation Resource Report Resource Website 1000+ mentions |
Rice Genome Annotation (RRID:SCR_006663) | Osa1 | data analysis service, analysis service resource, production service resource, service resource, database, 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 | 2026-08-04 09:41:41 | 1423 | |||
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Descriptions of Plant Viruses Resource Report Resource Website 10+ mentions |
Descriptions of Plant Viruses (RRID:SCR_006656) | topical portal, portal, database, data or information resource | 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 | 2026-08-04 09:41:40 | 11 | ||||||||
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InnateDB Resource Report Resource Website 100+ mentions |
InnateDB (RRID:SCR_006714) | InnateDB | database, data or information resource | Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice. | gene, immune response, pathway, protein, signaling pathway, interaction, immune, signaling response, gene, orthology prediction, orthology, ortholg, annotation, interactome, gene expression, molecule, protein-protein interaction, molecular interaction, visualization, nucleic acid-protein, nucleic acid, network, web service, transcription factor binding site, software resource, FASEB list |
is listed by: re3data.org is related to: IMEx - The International Molecular Exchange Consortium is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry is related to: PSICQUIC Registry is related to: Gene Ontology is related to: IntAct has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: University of British Columbia; British Columbia; Canada works with: IMEx - The International Molecular Exchange Consortium |
Microbial infection, Allergy, Asthma | Michael Smith Foundation for Health Research ; AllerGen 12ASI1; AllerGen 12B&B2; Teagasc RMIS6018; European Union PSIMEx project contract FP7-HEALTH-2007-223411 |
PMID:23180781 PMID:18766178 |
Free, Freely available | nif-0000-20808, r3d100010676 | https://doi.org/10.17616/R36S43 | SCR_006714 | A Knowledge Resource for Innate Immunity Interactions and Pathways, InnateDB: Systems Biology of the Innate Immune Response, InnateDB - A Knowledge Resource for Innate Immunity Interactions and Pathways | 2026-08-04 09:41:39 | 496 | |||
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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 | storage service resource, data repository, service resource, database, data or information 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 | 2026-08-04 09:41:42 | 14 | ||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-08-04 09:41:31 | 19 | |||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-08-04 09:41:30 | 1 | ||||
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DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | storage service resource, data repository, service resource, database, data or information resource | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; State Key Laboratory of Urban Water Resource and Environment ; Scientific Research Fund of Heilongjiang Provincial Education Department |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth, https://bio.tools/diseasemeth | http://202.97.205.78/diseasemeth/ | SCR_005942 | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-08-04 09:41:28 | 34 | ||||
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DistiLD - Diseases and Traits in LD Resource Report Resource Website 1+ mentions |
DistiLD - Diseases and Traits in LD (RRID:SCR_005943) | DistiLD | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database performs three important tasks: # published GWAS are collected from several sources and linked to standardized, international disease codes ICD10 codes) # data from the International HapMap Project are analyzed to define linkage disequilibrium (LD) blocks onto which SNPs and genes are mapped # the web interface makes it easy to query and visualize disease-associated SNPs and genes within LD blocks. Users can query the database by diseases, SNPs or genes. No matter which of the three query modes was used, an intermediate page will be shown listing all the studies that matched the search with a link to the corresponding publication. The user can select either all studies related to a certain disease or one specific study for which to view the related LD blocks. The DistiLD resource integrates information on: * Associations between Single Nucleotide Polymorphisms (SNPs) and diseases from genome-wide association studies (GWAS) * Links between SNPs and genes based on linkage disequilibrium (LD) data from HapMap For convenience, we provide the complete datasets as two (zipped) tab-delimited files. The first file contains GWAS results mapped to LD blocks. The second file contains all SNPs and genes assigned to each LD block. | disease, mutation, gene, linkage disequilibrium, trait, genome-wide association study, single nucleotide polymorphism, chromosomal region, chromosome, linkage disequilibrium block, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: International HapMap Project has parent organization: University of Copenhagen; Copenhagen; Denmark |
Novo Nordisk Foundation Center for Protein Research | PMID:22058129 | Files are published under the Creative Commons Attribution v3 License | biotools:distild, nlx_151291 | https://bio.tools/distild | SCR_005943 | DistiLD - Diseases & Traits in LD, Diseases and Traits In Linkage Disequilibrium blocks, Diseases and Traits In Linkage Disequilibrium, DistiLD Database, DistiLD - Diseases Traits in LD | 2026-08-04 09:41:28 | 5 | ||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | data analysis service, source code, analysis service resource, software resource, production service resource, service resource, database, data or information resource | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | 2026-08-04 09:41:31 | 0 | |||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | data analysis service, analysis service resource, production service resource, service resource, database, data or information resource | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-08-04 09:41:30 | 25 | ||||
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NHMRC Australian PhenomeBank Resource Report Resource Website 1+ mentions |
NHMRC Australian PhenomeBank (RRID:SCR_006149) | APB | biomaterial supply resource, material resource, cell repository, organism supplier | The NHMRC Australian PhenomeBank (APB) is a non-profit repository of mouse strains used in Medical Research. The database allows you to search for murine strains, housed or archived in Australia, carrying mutations in particular genes, strains with transgenic alterations and for mice with particular phenotypes. 1876 publicly available strains, 922 genes, 439 transgenes The APB has two roles: Provide and maintain a central database of genetically modified mice held in Australia either live or as cryopreserved material; Establish and maintain a mouse strain archive. Strains are archived as cryopreserved sperm or embryos. | RIN, Resource Information Network, murine, mutation, gene, strain, transgenic, alteration, phenotype, live mouse, sperm, embryo, transgene, database, allele, chromosome, RRID Community Authority |
is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network has parent organization: Australian Phenomics Network works with: International Mouse Strain Resource |
Public | nlx_151640 | http://pb.apf.edu.au/phenbank/foreignPageImport.html?page=http://pbstatic.apf.edu.au:80/phenbank/home.htm | SCR_006149 | Australian Phenome Bank, Phenome Bank, Australian PhenomeBank, NHMRC Australian Phenome Bank, PhenomeBank | 2026-08-04 09:41:31 | 3 | ||||||
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VBRC Resource Report Resource Website 10+ mentions |
VBRC (RRID:SCR_005971) | VBRC | data analysis service, analysis service resource, storage service resource, data repository, production service resource, service resource, database, data or information resource | One of eight Bioinformatics Resource Centers nationwide providing comprehensive web-based genomics resources including a relational database and web application supporting data storage, annotation, analysis, and information exchange to support scientific research directed at viruses belonging to the Arenaviridae, Bunyaviridae, Filoviridae, Flaviviridae, Paramyxoviridae, Poxviridae, and Togaviridae families. These centers serve the scientific community and conduct basic and applied research on microorganisms selected from the NIH/NIAID Category A, B, and C priority pathogens that are regarded as possible bioterrorist threats or as emerging or re-emerging infectious diseases. The VBRC provides a variety of analytical and visualization tools to aid in the understanding of the available data, including tools for genome annotation, comparative analysis, whole genome alignments, and phylogenetic analysis. Each data release contains the complete genomic sequences for all viral pathogens and related strains that are available for species in the above-named families. In addition to sequence data, the VBRC provides a curation for each virus species, resulting in a searchable, comprehensive mini-review of gene function relating genotype to biological phenotype, with special emphasis on pathogenesis. | virus, arenaviridae, bunyaviridae, filoviridae, flaviviridae, paramyxoviridae, poxviridae, togaviridae, blast, ortholog, variation, sequence analysis, genome, gene, epidemiology, bioinformatics resource center, phenotype, pathogenesis, pathogen, annotation, genomics |
has parent organization: University of Alabama at Birmingham; Alabama; USA has parent organization: University of Victoria; British Columbia; Canada is parent organization of: Hepatitis C Virus Database (HCVdb) |
NIAID contract HHSN266200400036C | r3d100012088, nif-0000-03632 | https://doi.org/10.17616/R31M1P | SCR_005971 | Viral Bioinformatics Resource Center | 2026-08-04 09:41:29 | 18 |
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