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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Malaria Parasite Metabolic Pathways Resource Report Resource Website 10+ mentions |
Malaria Parasite Metabolic Pathways (RRID:SCR_007072) | Malaria Parasite Metabolic Pathways | data or information resource, data set, image collection | Data set of metabolic pathways for the malaria parasite based on the present knowledge of parasite biochemistry and on pathways known to occur in other unicellular eukaryotes. This site extracted the pertinent information from the universal sites and presented them in an educative and informative format. The site also includes, cell-cell interactions (cytoadherence and rosetting), invasion of the erythrocyte by the parasite and transport functions. It also contains an artistic impression of the ultrastructural morphology of the interaerythrocytic cycle stages and some details about the morphology of mitochondria and the apicoplast. Most pathways are relevant to the erythrocytic phase of the parasite cycle. All maps were checked for the presence of enzyme-coding genes as they are officially annotated in the Plasmodium genome (http://plasmodb.org/). The site is constructed in a hierarchical pattern that permits logical deepening: * Grouped pathways of major chemical components or biological process ** Specific pathways or specific process *** Chemical structures of substrates and products or process **** Names of enzymes and their genes or components of process Each map is linked to other maps thus enabling to verify the origin of a substrate or the fate of a product. Clicking on the EC number that appears next to each enzyme, connects the site to BRENDA, SWISSPROT ExPASy ENZYME, PlasmoDB and to IUBMB reaction scheme. Clicking of the name of a metabolite, connects the site to KEGG thus providing its chemical structure and formula. Next to each enzyme there is a pie that depicts the stage-dependent transcription of the enzyme''s coding gene. The pie is constructed as a clock of the 48 hours of the parasite cycle, where red signifies over-transcription and green, under-transcription. Clicking on the pie links to the DeRisi/UCSF transcriptome database. | enzyme, gene, genome, map, metabolic, mosquito, parasite, pathway, plasmodium falciparum, protein, reaction, sequence, metabolic pathway, chemical structure, cell-cell interaction, transport, morphology, mitochondria, apicoplast | has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel | Malaria | UNDP/World Bank/WHO Special Programme ; NIAID ; European Union ; 6th FP- BioMalPar Network of Excellence on Biology and Pathology of the Malaria Parasite |
nif-0000-21249 | SCR_007072 | 2026-09-12 12:56:49 | 20 | |||||||
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National Institute of Mental Health (NIMH) Human Genetics Initiative Resource Report Resource Website |
National Institute of Mental Health (NIMH) Human Genetics Initiative (RRID:SCR_007436) | data or information resource, database, software resource | The Connectivity Map aims to generate a detailed map that links gene patterns associated with disease to corresponding patterns produced by drug candidates and a variety of genetic manipulations. The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework. It allows researchers to screen compounds against genome-wide disease signatures, rather than a pre-selected set of target genes. Drugs are paired with diseases using sophisticated pattern-matching methods with a high level of resolution and specificity. To build a Connectivity Map, the Broad Institute brings together molecular biologists, genomics specialists, computational scientists, pharmacologists, chemists and chemical biologists, as well as expertise from across the breadth and depth of medicine.Connectivity map is a large public database of signatures of drugs and genes, and pattern-matching tools to detect similarities among these signatures.The parent site for the Broad Institute at MIT has a software library of software applications developed for use in genetic analysis. | gene, genome, small molecule | has parent organization: Broad Institute | NIMH | nif-0000-00629 | SCR_007436 | NIMH Human Genetics Initiative | 2026-09-12 12:56:54 | 0 | ||||||||
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GEISHA - Gallus Expression in Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database Resource Report Resource Website 1+ mentions |
GEISHA - Gallus Expression in Situ Hybridization Analysis: A Chicken Embryo Gene Expression Database (RRID:SCR_007440) | GEISHA | atlas, data or information resource, data repository, database, experimental protocol, narrative resource, service resource, storage service resource | Online repository for chicken in situ hybridization information. This site presents whole mount in situ hybridization images and corresponding probe and genomic information for genes expressed in chicken embryos in Hamburger Hamilton stages 1-25 (0.5-5 days). The GEISHA project began in 1998 to investigate using high throughput whole mount in situ hybridization to identify novel, differentially expressed genes in chicken embryos. An initial expression screen of approximately 900 genes demonstrated feasibility of the approach, and also highlighted the need for a centralized repository of in situ hybridization expression data. Objectives: The goals of the GEISHA project are to obtain whole mount in situ hybridization expression information for all differentially expressed genes in the chicken embryo between HH stages 1-25, to integrate expression data with the chicken genome browsers, and to offer this information through a user-friendly graphical user interface. In situ hybridization images are obtained from three sources: 1. In house high throughput in situ hybridization screening: cDNAs obtained from several embryonic cDNA libraries or from EST repositories are screened for expression using high throughput in situ hybridization approaches. 2. Literature curation: Agreements with journals permit posting of published in situ hybridization images and related information on the GEISHA site. 3. Unpublished in situ hybridization information from other laboratories: laboratories generally publish only a small fraction of their in situ hybridization data. High quality images for which probe identity can be verified are welcome additions to GEISHA. | expression data, expression pattern, gene, gene expression, genome, chicken, chicken embryo, genomic, in situ hybridization, mapping, microarray, microrna, model organism, oligo, probe, stage, image, molecular neuroanatomy resource, embryo, embryonic chicken | has parent organization: University of Arizona; Arizona; USA | NIH ; NICHD R01HD044767 |
nif-0000-01251, r3d100012509 | https://doi.org/10.17616/R3RB6B | SCR_007440 | Gallus Expression in Situ Hybridization Analysis, GEISHA - Gallus Expression in Situ Hybridization Analysis | 2026-09-12 12:56:55 | 2 | ||||||
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Animal Genome Size Database Resource Report Resource Website 100+ mentions |
Animal Genome Size Database (RRID:SCR_007551) | Genomesize | catalog, data or information resource, data repository, database, service resource, storage service resource | Comprehensive catalogue of animal genome size data. Haploid DNA contents (C-values, in picograms) are available for 4972 species (3231 vertebrates and 1741 non-vertebrates) based on 6518 records from 669 published sources. Data may be submitted directly to the database or reprints and notifications of new papers may be sent to database curation staff. | genome size, haploid dna, non-vertebrate, vertebrate, genome structure, comparative biodiversity, sequencing, genome, genomic, FASEB list | has parent organization: University of Guelph; Ontario; Canada | Natural Sciences and Engineering Research Council of Canada | PMID:17090588 | Data taken from the database must not be reproduced in published lists, Online databases, Or other such formats, Nor redistributed without permission. The information is provided solely for personal and academic use., Please cite, The community can contribute to this resource | nif-0000-02548, r3d100012517 | https://doi.org/10.17616/R3R782, https://doi.org/10.17616/R3R782 | SCR_007551 | 2026-09-12 12:56:56 | 190 | |||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | data access protocol, data or information resource, data repository, database, service resource, software resource, storage service resource, web service | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-09-12 12:56:57 | 272 | ||||
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Human Ageing Genomic Resources Resource Report Resource Website 100+ mentions |
Human Ageing Genomic Resources (RRID:SCR_007700) | HAGR | data or information resource, database, software resource, software toolkit | Collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses. A major resource in HAGR is GenAge, which includes a curated database of genes related to human aging and a database of ageing- and longevity-associated genes in model organisms. Another major database in HAGR is AnAge. Featuring over 4,000 species, AnAge provides a compilation of data on aging, longevity, and life history that is ideal for the comparative biology of aging. GenDR is a database of genes associated with dietary restriction based on genetic manipulation experiments and gene expression profiling. Other projects include evolutionary studies, genome sequencing, cancer genomics, and gene expression analyses. The latter allowed them to identify a set of genes commonly altered during mammalian aging which represents a conserved molecular signature of aging. Software, namely in the form of scripts for Perl and SPSS, is made available for users to perform a variety of bioinformatic analyses potentially relevant for studying aging. The Perl toolkit, entitled the Ageing Research Computational Tools (ARCT), provides modules for parsing files, data-mining, searching and downloading data from the Internet, etc. Also available is an SPSS script that can be used to determine the demographic rate of aging for a given population. An extensive list of links regarding computational biology, genomics, gerontology, and comparative biology is also available. | gene, gerontology, human, model, senescence, genomics, longevity, genetics, perl, spss, demographic analysis, genome, evolution, gene expression, model organism, human aging, dietary restriction, genetic manipulation |
has parent organization: University of Liverpool; Liverpool; United Kingdom is parent organization of: anage is parent organization of: GenAge |
Aging, Cancer | Ellison Medical Foundation ; Wellcome Trust ME050495MES; European Union FP7 Health Research HEALTH-F4-2008-202047 |
PMID:23193293 | GNU General Public License, Creative Commons Attribution v3 Unported License | nif-0000-02938, r3d100011871 | https://doi.org/10.17616/R34W81 | SCR_007700 | 2026-09-12 12:56:57 | 107 | ||||
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Centre dEtude du Polymorphisme Humain Resource Report Resource Website 100+ mentions |
Centre dEtude du Polymorphisme Humain (RRID:SCR_008026) | institution | The Centre d''Etude du Polymorphisme Humain (CEPH) is a research laboratory, the main activities of which are the setting up, storage, processing and distribution of DNA collections for the identification of genetic factors conferring susceptibility to complex disorders. These collections are established in partnership and full collaboration with external French or international research groups. The Foundation currently hosts the CEPH reference panel, the HGDP panel (Human genome Diversity Cell Line Panel) and several collections amounting mid-2008 to more than 250 000 samples. The goal of CEPH is to understand complex multifactorial disorders necessitates the establishment of structures facilitating access to large and integrated collection of individuals, characterized by a large number of variables emanating from different technologies and platforms. To achieve this goal, CEPH facilitates the setting up of integrated analyses combining clinical, genetic and environmental data, for the identification of susceptibility factors to complex multifactorial disorders Additionally, CEHP allows the reception, storage, processing and distribution of biological sample collections. At the same time, it promotes and participates in the design and setting up of genetic studies: - in partnership and full collaboration with external research groups - giving access to a large number of variables - in a sufficient number of subjects - allowing large scale integrated analyses | environmental, genome, genetic, analysis, biological, cell, clinical, disorder, distribution, diversity, dna, human, individual, laboratory, polymorphism, process, procession, reception, research, storage, structure, subject, technology, variable | is related to: International AMD Genetics Consortium | Wikidata: Q5464989, nif-0000-10191, ISNI: 0000 0004 0639 125X, grid.417836.f | https://ror.org/01rje3r53 | SCR_008026 | CEPH | 2026-09-12 12:56:59 | 304 | ||||||||
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CAGE Resource Report Resource Website 100+ mentions |
CAGE (RRID:SCR_007574) | CAGE | software resource | Expression profiling and promoter identification software tool for transcriptional network analysis and transcriptome characterization. DeepCAGE, the combination of next-generation sequencing with next generation expression profiling provides unsurpassed solutions for expression profiling and genome annotation. CAGE will be the experimental approach at need to link gene expression and control regions in the genome. With the availability of next-generation sequencing methods, DNAFORM now offers DeepCAGE services. DeepCAGE libraries are prepared for direct analysis by an Illumina/Solexa Sequencer. One sequencing run using one channel on an Illumina/Solexa Sequencer can yield in over 4,000,000 reads per sample. CAGE is based on our full-length cDNA library technology, where an adaptor is ligated to the 5''''-end of full-length cDNAs, which introduces a recognition site for a Class IIs restriction endonuclease adjacent to the 5''''-end of the cDNA. The Class IIs restriction endonuclease, here MmeI, allows for the cloning of short tags as derived from the 5''''-end of transcripts into concatemers for high-throughput sequencing. CAGE tags are further characterized by mapping to genomic sequences, which enables the identification of transcriptional start sites. As such CAGE can contribute to projects in Gene Discovery, Gene Expression, and Promoter Identification. After the genome sequencing projects have provided us with the genetic blueprints for many organisms, new questions have to be answered on how to correlate the observed genotypes with related phenotypes, and how to understand the regulation of genetic information in time and space. The dynamics of living systems and the functional behavior of cells in multicellular organisms has thus become the subject of the emerging field of system biology. Integration of experimental approaches and computer aided theories on a system level will be the fundamental principle to drive systems biology in order to understand the principles behind complex regulatory networks, which will be an ambitious goal requiring new approaches in life sciences. For ordering and additional information, please contact us under contact_at_dnaform.jp | gene, gene expression, transcriptome, expression profiling, promoter identification, promoter, gene discovery, cdna, cdna library, genome annotation, genome, annotation, rna library, rna, mrna |
is related to: FANTOM DB is related to: CAGE Basic Viewer for Mus musculus has parent organization: RIKEN |
nif-0000-02631 | SCR_007574 | DeepCAGE, Cap-Analysis-Gene-Expression, CAGE Library, Cap analysis of gene expression | 2026-09-12 12:56:57 | 267 | ||||||||
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REBASE Resource Report Resource Website 100+ mentions |
REBASE (RRID:SCR_007886) | REBASE | data or information resource, database | Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email., | endonuclease, enzyme, genome, archaeal, bacterial, cleavage, crystal, dna, individual protein family databases, isochizomer, methylation, methyltransferase, modification, protein, recognition, restriction, restriction enzyme, sensitivity, sequence, site, methylase, cleavage site, restriction-modification, blast, FASEB list |
has parent organization: New England Biolabs works with: Webcutter |
New England Biolabs Inc ; NLM LM04971 |
PMID:19846593 PMID:17202163 |
r3d100012171, nif-0000-03391 | http://rebase.neb.com, https://doi.org/10.17616/R3J930 | http://www.neb.com/rebase | SCR_007886 | The Restriction Enzyme Database, Restriction Enzyme Database | 2026-09-12 12:56:57 | 261 | ||||
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Roadmap Epigenomics Project Resource Report Resource Website 100+ mentions |
Roadmap Epigenomics Project (RRID:SCR_008924) | Roadmap Epigenomics Project | consortium, data or information resource, organization portal, portal, project portal | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 11, 2022. Project for human epigenomic data from experimental pipelines built around next-generation sequencing technologies to map DNA methylation, histone modifications, chromatin accessibility and small RNA transcripts in stem cells and primary ex vivo tissues selected to represent normal counterparts of tissues and organ systems frequently involved in human disease. Consortium expects to deliver collection of normal epigenomes that will provide framework or reference for comparison and integration within broad array of future studies. Consortium is also committed to development, standardization and dissemination of protocols, reagents and analytical tools to enable research community to utilize, integrate and expand upon this body of data. | epigenomics, genome, genetic variation, gene regulation, genomics, stem cell, primary cell, tissue, blood, lung, heart, gastrointestinal tract, brain, embryonic stem cell, fetus, adult, cell, epigenome, methylome, chip-seq, rna, breast, muscle, connective, gastrointestinal, genitourinary, fat, hematopoietic stem cell, thymus, spleen, placenta, kidney, adrenal, induced pluripotent stem cell, skin, angular gyrus, anterior caudate, cingulate gyrus, hippocampus, inferior temporal lobe, mid frontal lobe, substantia nigra, dna methylation, histone modification, chromatin, rna transcript, dna, methylation, histone, data set |
is used by: NIF Data Federation is used by: VizHub is used by: Integrated Data Annotation is listed by: 3DVC is listed by: OMICtools is related to: NCBI Epigenomics is related to: Gene Expression Omnibus is related to: Spark is related to: Deep Blue Epigenomic Data Server has parent organization: NIH Common Fund is parent organization of: Human Epigenome Atlas is parent organization of: WashU Epigenome Browser is parent organization of: VizHub |
PMID:22690667 PMID:20944595 PMID:20944597 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151644, OMICS_01564 | SCR_008924 | Epigenomics Program, Common Fund Epigenomics, NIH Roadmap Epigenomics Program, NIH Roadmap Epigenomics Project, Common Fund Epigenomics Program, NIH Common Fund Epigenomics, NIH Common Fund Epigenomics Program, Common Fund Roadmap Epigenomics Program | 2026-09-12 12:57:10 | 323 | ||||||
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GMAP Resource Report Resource Website 500+ mentions |
GMAP (RRID:SCR_008992) | GMAP | alignment software, data processing software, image analysis software, software application, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. A software program for mapping and aligning cDNA sequences to a genome. The program maps and aligns a single sequence with minimal startup time and memory requirements, and provides fast batch processing of large sequence sets. The program generates accurate gene structures, even in the presence of substantial polymorphisms and sequence errors, without using probabilistic splice site models. Methodology underlying the program includes a minimal sampling strategy for genomic mapping, oligomer chaining for approximate alignment, sandwich DP for splice site detection, and microexon identification with statistical significance testing. | mrna, est sequence, expressed sequence tag, sequence, cdna sequence, genome, cdna, bio.tools |
is used by: deFuse is listed by: Debian is listed by: bio.tools has parent organization: Genentech |
PMID:15728110 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_15072, biotools:gmap, nlx_152505 | https://bio.tools/gmap, https://sources.debian.org/src/gmap/ | SCR_008992 | 2026-09-12 12:57:11 | 599 | ||||||
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mtocDB Resource Report Resource Website |
mtocDB (RRID:SCR_008933) | mtocDB | data or information resource, database, image collection | A database of over 300 Electron Microscopy (EM) images of centrioles and centriole related structures from almost 60 species, described by a controlled vocabulary allowing detailed description of the observed structures. This knowledge is supplemented by a manually curated list of proteins known to be involved in centriole assembly, their (putative) orthologs, and localization information. mtocDB aims to characterize the naturally occurring morphological variation observed in centrioles and centriole associated structure alongside molecular information on the proteins involved in their assembly. Examining these in an evolutionary context will allow the cell biology community to infer meaningful relationships between cellular assembly mechanisms and the structures they form. This community resource for cell biologists interested in the the evolution of centrioles and centriole related structures aims to bridge the gap between structural morphology and molecular function by examining naturally occurring structural variation in a phylogenomic context. Centrioles are cylindrical microtubule arrays required for stability and duplication of the centrosome in animal cells, and for the assembly of cilia and flagella in many eukaryotes. The presence of centrioles throughout most eukaryotic branches suggests that this structure was present in the last eukaryotic common ancestor. Although centrioles show a typically well conserved structure, they can perform several functions and display a diversity of accessory structures. However, this diversity is not properly classified beyond model organisms, and the information contained in decades of electronic microscopy of other organisms remains untapped. | centriole, morphological variation, morphology, cell biology, cellular assembly, mechanism, structure, evolution, proteomics, genome, ortholog, electron microscopy, protein, centriole assembly, localization, microtubule, image, electron micrograph, micrograph | has parent organization: Instituto Gulbenkian de Ciencia; Oeiras; Portugal | Developed as a community resource, But as of 6/1/13, Requires an account pending resolution of copyright issues | nlx_151804 | SCR_008933 | Microtubule Organizing Center Database | 2026-09-12 12:57:10 | 0 | |||||||
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Human Variation DB Resource Report Resource Website |
Human Variation DB (RRID:SCR_009014) | Human Variation DB | data or information resource, data repository, database, service resource, storage service resource | A repository database to achieve continuous and intensive management of GWAS data and variation data identified by next generation sequencing (NGS) and data-sharing among researchers. In this database, variations including short/long insertions / deletions and structural variations related to disease susceptibility, virus resistance, and drug response are registered along with statistical genetic results and simple clinical characteristics to clarify the locus specific characteristics. Currently this database contains information extracted from scientific papers and next generation sequencing results and other small scale experimental results of several research laboratories. Mutation data submission is greatly appreciated. | gene, genome, disease, snp, next generation sequencing, gwas, genetic variation, mutation, copy number variation, insertion, deletion, structural variation | has parent organization: NBDC - National Bioscience Database Center | Japan Science and Technology Agency | PMID:19629137 PMID:21385384 |
The community can contribute to this resource | nlx_153886 | SCR_009014 | Human Genome Variation Database | 2026-09-12 12:57:11 | 0 | |||||
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eVOC Resource Report Resource Website 1+ mentions |
eVOC (RRID:SCR_010704) | eVOC | controlled vocabulary, data or information resource, ontology | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone., documented September 6, 2016. Set of orthogonal controlled vocabularies that unifies gene expression data by facilitating a link between the genome sequence and expression phenotype information. The system associates labelled target cDNAs for microarray experiments, or cDNA libraries and their associated transcripts with controlled terms in a set of hierarchical vocabularies. eVOC consists of four orthogonal controlled vocabularies suitable for describing the domains of human gene expression data including Anatomical System, Cell Type, Pathology and Developmental Stage. The four core eVOC ontologies provide an appropriate set of detailed human terms that describe the sample source of human experimental material such as cDNA and SAGE libraries. These expression terms are linked to libraries and transcripts allowing the assessment of tissue expression profiles, differential gene expression levels and the physical distribution of expression across the genome. Analysis is currently possible using EST and SAGE data, with microarray data being incorporated. The eVOC data is increasingly being accepted as a standard for describing gene expression and eVOC ontologies are integrated with the Ensembl EnsMart database, the Alternate Transcript Diversity Project and the UniProt Knowledgebase. Several groups are currently working to provide shared development of this resource such that it is of maximum use in unifying transcript expression information. | mouse, mapping, cdna, development, microarray, expression, expressed sequence, anatomical system, cell type, developmental stage, experimental technique, microarray platform, pathology, pooling, tissue preparation, treatment, gene expression, genome sequence, expression phenotype, genome, sequence, phenotype, anatomical system, cell type, pathology, anatomy |
is related to: OBO is related to: Bgee: dataBase for Gene Expression Evolution has parent organization: University of the Western Cape; Bellville; South Africa |
South African National Research Foundation ; European Union ; Wellcome Trust ; South African Department of Arts Culture Science and Technology 32146 |
PMID:12799354 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_84448 | SCR_010704 | Expressed Sequence Annotation for Humans, eVOC (Expressed Sequence Annotation for Humans), eVOC Ontologies, eVOContology.org | 2026-09-12 12:57:22 | 4 | |||||
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NHLBI Grand Opportunity Exome Sequencing Project Resource Report Resource Website 10+ mentions |
NHLBI Grand Opportunity Exome Sequencing Project (RRID:SCR_010798) | NHLBI GO ESP, GO ESP | knowledge environment | Project focused on understanding the contribution of rare genetic variation to heart, lung and blood disorders through the sequencing of well-phenotyped populations. | next-generation sequencing, protein coding region, human, genome, phenotype, exome sequencing |
is listed by: OMICtools has parent organization: University of Washington; Seattle; USA |
NHLBI RC2 HL-103010; NHLBI RC2 HL-102923; NHLBI RC2 HL-102924; NHLBI RC2 HL-102925; NHLBI RC2 HL-102926 |
OMICS_00277 | SCR_010798 | NHLBI Grand Opportunity Exome Sequencing Project (ESP), NHLBI GO Exome Sequencing Project (ESP) | 2026-09-12 12:57:23 | 35 | |||||||
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PoPoolation Resource Report Resource Website 100+ mentions |
PoPoolation (RRID:SCR_003495) | PoPoolation | software resource | A collection of tools to facilitate population genetic studies of next generation sequencing data from pooled individuals. It builds upon open source tools (bwa, samtools) and uses standard file formats (gtf, sam, pileup) to ensure a wide compatibility. PoPoolation allows to calculate Tajima's Pi, Watterson's Theta and Tajima's D for reference sequences using a sliding window approach. Alternatively these population genetic estimators may be calculated for a set of genes (provided as gtf). One of the main challenges in population genomics is to identify regions of intererest on a genome wide scale. PoPoolation will greatly aid this task by allowing a fast and user friendly analysis of NGS data from DNA pools. | population genetics, next generation sequencing, sliding window, genome, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
PMID:21253599 | Acknowledgement requested | OMICS_04414, biotools:popoolation | https://bio.tools/popoolation | SCR_003495 | 2026-09-12 12:55:59 | 144 | ||||||
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genomation Resource Report Resource Website 50+ mentions |
genomation (RRID:SCR_003435) | genomation | data analysis software, data processing software, software application, software resource, software toolkit | Software R package for simplfiying common tasks in genomic feature analysis. Toolkit to summarize, annotate and visualize genomic intervals. Provides functions for reading BED and GFF files as GRanges objects, summarizing genomic features over predefined windows so users can make average enrichment of features over defined regions or produce heatmaps. Can annotate given regions with other genomic features such as exons,introns and promoters. | genome, genomic interval, genomic feature analysis, GRanges objects, annotate given regions, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:25417204 | Free, Available for download, Freely available | biotools:genomation, OMICS_02306 | https://github.com/al2na/genomation, https://github.com/BIMSBbioinfo/genomation, https://bio.tools/genomation | http://al2na.github.io/genomation/ | SCR_003435 | 2026-09-12 12:55:58 | 62 | |||||
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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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Honey Bee Genome Project Resource Report Resource Website 1+ mentions |
Honey Bee Genome Project (RRID:SCR_002890) | data or information resource, portal, topical portal | The HGSC has sequenced the honey bee, Apis mellifera. The version 4.0 assembly was released in March 2006 and published in October 2006. The genome sequence is being upgraded with additional sequence coverage. The honey bee is important in the agricultural community as a producer of honey and as a facilitator of pollination. It is a model organism for studying the following human health issues: immunity, allergic reaction, antibiotic resistance, development, mental health, longevity and diseases of the X chromosome. In addition, biologists are interested in the honey bee's social organization and behavioral traits. This project was proposed to the HGSC by a group of dedicated insect biologists, headed by Gene Robinson. Following a workshop at the HGSC and a honey bee white paper, the HGSC began the project in 2002. A 6-fold coverage WGS, BAC sequence from pooled arrays, and an initial genome assembly (Amel_v1.0) were released beginning in 2003. This has been a challenging project with difficulty in recovering AT-rich regions. The WGS data had lower coverage in AT-rich regions and BAC data from clones showed evidence of internal deletions. Additional reads from AT enriched DNA addressed these underrepresented regions. The current assembly Amel_4.0 was produced with Atlas and includes 2.7 million reads (1.8 Gb) or 7.5x coverage of the (clonable) genome. About 97% of STSs, 98% of ESTs, and 96% of cDNAs are represented in the 231 Mb assembly. About 2,500 reads were also produced from a strain of Africanized honey bee and SNPs were extracted. These were released in dbSNP and the NCBI Trace Archive. Analysis of the genome by a consortium of 20 labs has been completed. This produced a gene list derived from five different methods melded through the GLEAN software. Publications include a main paper in Nature and up to forty companion papers in Genome Research and Insect Molecular Biology. Sponsors: Sequencing of the honey bee is jointly funded by National Human Genome Research Institute (NHGRI) and the Department of Agriculture (USDA). Multiple drones from the same queen (strain DH4) were obtained from Danny Weaver of B. Weaver Apiaries. All libraries were made from DNA isolated from these drones. The honey bee BAC library (CHORI-224) was prepared by Pieter de Jong and Katzutoyo Osoegawa at the Children's Hospital Oakland Research Institute. | gene, agricultural, allergy, antibiotic, apis mellifera, array, behavioral, biologist, chromosome, development, disease, genome, heath, honey bee, human, immunity, insect, mental heath, organism, pollination, reaction, resistance, sequence, trait | has parent organization: Baylor University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-25604 | http://www.hgsc.bcm.tmc.edu/project-species-i-Apis%20mellifera.hgsc?pageLocation=Apis%20mellifera | SCR_002890 | Honey Bee | 2026-09-12 12:55:48 | 4 | |||||||
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Assembly/Alignment/Annotation of 12 Related Drosophila Species Resource Report Resource Website 10+ mentions |
Assembly/Alignment/Annotation of 12 Related Drosophila Species (RRID:SCR_002921) | data or information resource, data set, organism-related portal, portal, topical portal | A single source for sequences, assemblies, annotations and analyses of the genomes of members of the fruitfly genus Drosophlia. It is meant as resource for Drosophilists and other researchers interested in comparative analysis of these species and their genomes. There are pages for each species, as well as pages for different types of multi-species resources (e.g. alignments). If you have a public resource that will help this project, please consider making it available through this page by emailing multiple_at_fruitfly.org. | sequence, annotation, analysis, genome, fruitfly, drosophila, research, comparative, alignment, assembly | has parent organization: Lawrence Berkeley National Laboratory | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30021 | SCR_002921 | AAA: 12 Drosophila Genomes | 2026-09-12 12:55:48 | 35 |
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