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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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CuticleDB Resource Report Resource Website 10+ mentions |
CuticleDB (RRID:SCR_007045) | cuticleDB | data or information resource, database | A relational database containing all structural proteins of Arthropod cuticle identified to date. Many come from direct sequencing of proteins isolated from cuticle and from sequences from cDNAs that share common features with these authentic cuticular proteins. It also includes proteins from the five sequenced genomes where manual annotation has been applied to cuticular proteins: Anopheles gambiae, Apis mellifera, Bombyx mori, Drosophila melanogaster, and Nasonia vitripennis. Some sequences were confirmed as authentic cuticular proteins because protein sequencing revealed that they were present in cuticle; others were identified by sequence homology and other criteria. Entries provides information about whether sequences are putative or authentic cuticular proteins. CuticleDB was primarily designed to contain correct and full annotation of cuticular protein data. The database will be of help to future genome annotators. Users will be able to test hypotheses for the existence of known and also of yet unknown motifs in cuticular proteins. An analysis of motifs may contribute to understanding how proteins contribute to the physical properties of cuticle as well as to the precise nature of their interaction with chitin. | genome, cuticle, cuticle protein, cuticular protein, cdna, protein, insect, exoskeleton, annotation, chitin, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
University of Athens; Athens; Greece ; NIAID AI055624 |
PMID:15453918 | biotools:cuticledb, nif-0000-02708 | https://bio.tools/cuticledb | SCR_007045 | CuticleDB - A relational database of Arthropod cuticular proteins | 2026-09-05 06:31:37 | 14 | |||||
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PRODORIC Resource Report Resource Website 50+ mentions |
PRODORIC (RRID:SCR_007074) | PRODORIC | data or information resource, database | Database about gene regulation and gene expression in prokaryotes. It includes a manually curated and unique collection of transcription factor binding sites. A variety of bioinformatics tools for the prediction, analysis and visualization of regulons and gene reglulatory networks is included. The integrated approach provides information about molecular networks in prokaryotes with focus on pathogenic organisms. In detail this concerns: * transcriptional regulation (transcription factors and their DNA binding sites * signal transduction (two-component systems, phosphylation cascades) * protein interactions (complex formation, oligomerization) * biochemical pathways (chemical reactions) * other regulation events (e.g. codon usage, etc. ...) It aims to be a resource to model protein-host interactions and to be a suitable platform to analyze high-throughput data from proteomis and transcriptomics experiments (systems biology). Currently it mainly contains detailed information about operon and promoter structures including huge collections of transcription factor binding sites. If an appropriate number of regulatory binding sites is available, a position weight matrix (PWM) and a sequence logo is provided, which can be used to predict new binding sites. This data is collected manually by screening the original scientific literature. PRODORIC also handles protein-protein interactions and signal-transduction cascades that commonly occur in form of two-component systems in prokaryotes. Furthermore it contains metabolic network data imported from the KEGG database., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene regulation, transcription factor binding site, promoter structure, gene expression, genome, regulon, network, visualization, gene regulatory network, pathogen, transcriptional regulation, transcription factor, dna binding site, signal transduction, protein interaction, pathway, regulation, protein-protein interaction, signal-transduction cascade, operon, promoter, structure, position weight matrix, FASEB list |
is listed by: OMICtools is related to: KEGG has parent organization: Technical University of Braunschweig; Braunschweig; Germany |
BMBF | PMID:18974177 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03343, OMICS_01872 | http://www.prodoric.de | SCR_007074 | Prokaryotic Database of Gene Regulation | 2026-09-05 06:31:38 | 57 | ||||
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Rickettsia Genome Database Resource Report Resource Website 1+ mentions |
Rickettsia Genome Database (RRID:SCR_007102) | data or information resource, database, image | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams. | evolutionary, africae, alignment, arthropod, bacteria, bellii, conorii, dendrogram, disease, genome, genomic, human, intracellular, massiliae, mechanism, pathogenicity, physiology, prowazekii, rickettsia, sequence, specie, journal article, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20993 | SCR_007102 | RicBase | 2026-09-05 06:31:38 | 1 | |||||||||
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COG Resource Report Resource Website 1000+ mentions |
COG (RRID:SCR_007139) | COG, COG Cluster, COG Function, COG Pathway | data or information resource, database | A database for phylogenetic classification for proteins encoded in complete genomes. Clusters of Orthologous Groups of proteins (COGs) were delineated by comparing protein sequences encoded in complete genomes, representing major phylogenetic lineages. Each COG consists of individual proteins or groups of paralogs from at least 3 lineages and thus corresponds to an ancient conserved domain. Please be aware that COGs hasn't been updated in many years and will not be. | ortholog, protein, cog, conserved protein sequence, unicellular cluster, genome, order, class, phyla, eukaryotic cluster, gold standard |
is listed by: OMICtools is related to: MLTreeMap is related to: ProOpDB is related to: Conserved Domain Database has parent organization: NCBI is parent organization of: Clusters of Orthologous Groups Analysis Ontology |
PMID:12969510 PMID:9381173 |
OMICS_01688, nif-0000-02672 | SCR_007139 | COG Database, Clusters of Orthologous Groups of proteins, COGs, COGs - Clusters of Orthologous Groups of proteins, COGs - Phylogenetic classification of proteins encoded in complete genomes, COG Cluster, COG Pathway, COG Function | 2026-09-05 06:31:38 | 1278 | |||||||
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AthaMap Resource Report Resource Website 50+ mentions |
AthaMap (RRID:SCR_006717) | data or information resource, database | Genome wide map of putative transcription factor binding sites in Arabidopsis thaliana genome.Data in AthaMap is based on published transcription factor (TF) binding specificities available as alignment matrices or experimentally determined single binding sites.Integrated transcriptional and post transcriptional data.Provides web tools for analysis and identification of co-regulated genes. Provides web tools for database assisted identification of combinatorial cis-regulatory elements and the display of highly conserved transcription factor binding sites in Arabidopsis thaliana. | gene, arabidopsis thaliana, binding site, genome, transcription factor, small rna binding site, small rna, rna, microrna, cis-regulatory element, post-transcriptional regulation, FASEB list |
is listed by: OMICtools is listed by: bio.tools has parent organization: Technical University of Braunschweig; Braunschweig; Germany |
PMID:22800758 PMID:21177332 PMID:18842622 PMID:17148485 PMID:16922688 PMID:15980498 PMID:14681436 |
Free, Freely available | nif-0000-02583, biotools:athamap, OMICS_00549, nif-0000-20814, SCR_013106 | https://bio.tools/athamap | SCR_006717 | Arabidopsis thaliana Map | 2026-09-05 06:31:36 | 50 | ||||||
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GBrowse Resource Report Resource Website 10+ mentions |
GBrowse (RRID:SCR_006829) | GBrowse | data or information resource, database | A database and interactive web site for manipulating and displaying annotations on genomes. Features include: detailed views of the genome; use of a variety of premade or personally made glyphs ; customizable order and appearance of tracks by administrators and end-users; search by annotation ID, name, or comment; support of third party annotation using GFF formats; DNA and GFF dumps; connectivity to different databases, including BioSQL and Chado; and a customizable plug-in architecture (e.g. run BLAST, find oligonucleotides, design primers, etc.). GBrowse is distributed as source code for Macintosh OS X, UNIX and Linux platforms, and as pre-packaged binaries for Windows machines. It can be installed using the standard Perl module build procedure, or automated using a network-based install script. In order to use the net installer, you will need to have Perl 5.8.6 or higher and the Apache web server installed. The wiki portion accepts data submissions. | genome, annotation, database, perl, virus, dna, protein, reference sequence, chromosome, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite is related to: WormBase is related to: FlyBase is related to: International HapMap Project has parent organization: Generic Model Organism Database Project has parent organization: Indiana University; Indiana; USA |
Howard Hughes Medical Institute ; NHGRI HG00739; NHGRI P41HG02223 |
PMID:19957275 PMID:18428797 PMID:12368253 PMID:21400697 PMID:20194461 PMID:19357095 DOI:10.1002/0471250953.bi0909s28 |
The community can contribute to this resource, Requires Perl 5.8.6 or higher and the Apache web server | OMICS_00910, biotools:gbrowse, nif-0000-30597 | http://gmod.org/wiki/GBrowse, https://bio.tools/gbrowse, https://sources.debian.org/src/gbrowse/ | SCR_006829 | Generic Genome Browser | 2026-09-05 06:31:36 | 43 | ||||
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Biomolecular Object Network Databank Resource Report Resource Website 10+ mentions |
Biomolecular Object Network Databank (RRID:SCR_007433) | data or information resource, database | 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 on August 19,2019.BOND, which requires registration of a free account, is a resource used to perform cross-database searches of available sequence, interaction, complex and pathway information. BOND integrates a range of component databases including GenBank and BIND, the Biomolecular Interaction Network Database. BOND contains 70+ million biological sequences, 33,000 structures, 38,000 GO terms, and over 200,000 human curated interactions contained in BIND, and is open access. BOND serves the interests of the developing global interactome effort encompassing the genomic, proteomic and metabolomic research communities. BOND is the first open access search resource to integrate sequence and interaction information. BOND integrates BLAST functionality, and contains a well-documented API. BOND also stores annotation links for sequences, including links to Genome Ontology descriptions, MedLine abstracts, taxon identifiers, associated structures, redundant sequences, sequence neighbors, conserved domains, data base cross-references, Online Mendalian Inheritance in Man identifiers, LocusLink identifiers and complete genomes. BIND on BOND The Biomolecular Interaction Network Database (BIND), a component database of BOND, is a collection of records documenting molecular interactions. The contents of BIND include high-throughput data submissions and hand-curated information gathered from the scientific literature. BIND is an interaction database with three classifications for molecular associations: molecules that associate with each other to form interactions, molecular complexes that are formed from one or more interaction(s) and pathways that are defined by a specific sequence of two or more interactions.Interactions A BIND record represents an interaction between two or more objects that is believed to occur in a living organism. A biological object can be a protein, DNA, RNA, ligand, molecular complex, gene, photon or an unclassified biological entity. BIND records are created for interactions which have been shown experimentally and published in at least one peer-reviewed journal. A record also references any papers with experimental evidence that support or dispute the associated interaction. Interactions are the basic units of BIND and can be linked together to form molecular complexes or pathways. The BIND interaction viewer is a tool to visualize and analyze molecular interactions, complexes and pathways. The BIND interaction viewer uses Ontoglyphs to display information about a protein via attributes such as molecular function, biological process and sub-cellular localization. Ontoglyphs allow to graphically and interactively explore interaction networks, by visualizing interactions in the context of 34 functional, 25 binding specificity and 24 sub-cellular localization Ontoglyphs categories. We will continue to provide an open access version of BOND, providing its subscribers with free, unlimited access to a core content set. But we are confident you will soon want to upgrade to BONDplus. | gene, genes, genome, annotation, binding specificity, biological process, complex, dna, genomes, genomic, human, interaction, interactome, ligand, metabolomic, molecular, molecular complex, molecular function, molecular interaction, mouse, ontoglyphs, ontology terms, pathway, photon, protein, protein-protein interactions, proteomic, rna, sequence, structure, sub-cellular localization, taxonomy, unclassified biological entity | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00571 | SCR_007433 | BOND | 2026-09-05 06:31:39 | 17 | |||||||||
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Colibri Resource Report Resource Website 100+ mentions |
Colibri (RRID:SCR_007606) | Colibri | data or information resource, database | Database dedicated to the analysis of the genome of Escherichia coli. Its purpose is to collate and integrate various aspects of the genomic information from E. coli, the paradigm of Gram-negative bacteria. Colibri provides a complete dataset of DNA and protein sequences derived from the paradigm strain E. coli K-12, linked to the relevant annotations and functional assignments. It allows one to easily browse through these data and retrieve information, using various criteria (gene names, location, keywords, etc.). The data contained in Colibri originates from two major sources of information, the reference genomic DNA sequence from the E. coli Genome Project and the feature annotations from the EcoGene data collection., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | dna, genome, protein, escherichia coli, escherichia coli genome, escherichia coli protein |
is related to: EcoGene has parent organization: Pasteur Institute |
CNRS ; French Ministry of Higher Education and Research |
PMID:8246843 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02676 | SCR_007606 | 2026-09-05 06:31:41 | 229 | ||||||
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MIPS Ustilago maydis Database Resource Report Resource Website 1+ mentions |
MIPS Ustilago maydis Database (RRID:SCR_007563) | data or information resource, database | The MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis. The underlying sequence is the initial release of the high quality draft sequence of the Broad Institute. The goal of the MIPS database is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The specific aims are to: 1. Generate and assemble Whole Genome Shotgun sequence reads yielding 10X coverage of the U. maydis genome 2. Integrate the genomic sequence assembly with physical maps generated by Bayer CropScience 3. Perform automated annotation of the sequence assembly 4. Align the strain 521 assembly with the FB1 assembly provided by Exelixis 5. Release the sequence assembly and results of our annotation and analysis to public Ustilago maydis is a basidiomycete fungal pathogen of maize and teosinte. The genome size is approximately 20 Mb. The fungus induces tumors on host plants and forms masses of diploid teliospores. These spores germinate and form haploid meiotic products that can be propagated in culture as yeast-like cells. Haploid strains of opposite mating type fuse and form a filamentous, dikaryotic cell type that invades plant tissue to reinitiate infection. Ustilago maydis is an important model system for studying pathogen-host interactions and has been studied for more than 100 years by plant pathologists. Molecular genetic research with U. maydis focuses on recombination, the role of mating in pathogenesis, and signaling pathways that influence virulence. Recently, the fungus has emerged as an excellent experimental model for the molecular genetic analysis of phytopathogenesis, particularly in the characterization of infection-specific morphogenesis in response to signals from host plants. Ustilago maydis also serves as an important model for other basidiomycete plant pathogens that are more difficult to work with in the laboratory, such as the rust and bunt fungi. Genomic sequence of U. maydis will also be valuable for comparative analysis of other fungal genomes, especially with respect to understanding the host range of fungal phytopathogens. The analysis of U. maydis would provide a framework for studying the hundreds of other Ustilago species that attack important crops, such as barley, wheat, sorghum, and sugarcane. Comparisons would also be possible with other basidiomycete fungi, such as the important human pathogen C. neoformans. Commercially, U. maydis is an excellent model for the discovery of antifungal drugs. In addition, maize tumors caused by U. maydis are prized in Hispanic cuisine and there is interest in improving commercial production. The complete putative gene set of the Broad Institute''s second release is loaded into the database and in addition all deviating putative genes from a putative gene set produced by MIPS with different gene prediction parameters are also loaded. The complete dataset will then be analysed, gene predictions will be manually corrected due to combined information derived from different gene prediction algorithms and, more important, protein and EST comparisons. Gene prediction will be restricted to ORFs larger than 50 codons; smaller ORFs will be included only if similarities to other proteins or EST matches confirm their existence or if a coding region was postulated by all prediction programs used. The resulting proteins will be annotated. They will be classified according to the MIPS classification catalogue receiving appropriate descriptions. All proteins with a known, characterized homolog will be automatically assigned to functional categories using the MIPS functional catalog. All extracted proteins are in addition automatically analysed and annotated by the PEDANT suite. | drug, environment, filamentous, functional, fungal, fungal genome databases, fungus, gene, genetic, basidiomycete, cell, codon, culture, dikaryotic, diploid, genome, genomic, germinate, haploid, host, human, infection, maize, mating, meiotic, model, molecular, morphogenesis, network, orf, pathogen, pathologist, phytopathogen, phytopathogenesis, plant, protein, recombination, sequence, signal, spore, strain, structure, teliospore, teosinte, tissue, tumor, ustilago maydis, virulence, yeast | nif-0000-21276 | SCR_007563 | MUMDB | 2026-09-05 06:31:40 | 9 | ||||||||||
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SPAdes Resource Report Resource Website 100+ mentions |
SPAdes (RRID:SCR_000131) | SPAdes | software resource, software toolkit | Software package for assembling single cell genomes and mini metagenomes. Uses short read sets as input. Used for genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. Works with Illumina or IonTorrent reads and can provide hybrid assemblies using PacBio, Oxford Nanopore and Sanger reads. Intended for small genomes like bacterial or fungal., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | assembler, single, cell, small, genome, short, read, data |
is used by: shovill is listed by: OMICtools is listed by: Debian is listed by: SoftCite is related to: rnaSPAdes is related to: rnaQUAST has parent organization: Saint Petersburg Academic University; Saint Petersburg; Russia works with: Illumina: iSeq 100 Sequencing System |
Government of the Russian Federation ; NCRR P41 RR024851 |
PMID:24093227 PMID:22506599 DOI:10.1089/cmb.2012.0021 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01502 | https://sources.debian.org/src/spades/ | http://bioinf.spbau.ru/spades/ | SCR_000131 | SPAdes Genome Assembler | 2026-09-05 06:30:35 | 108 | |||
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NBDC - National Bioscience Database Center Resource Report Resource Website 1+ mentions |
NBDC - National Bioscience Database Center (RRID:SCR_000814) | NBDC | data or information resource, database, organization portal, portal | The National Bioscience Database Center (NBDC) intends to integrate all databases for life sciences in Japan, by linking each database with expediency to maximize convenience and make the entire system more user-friendly. We aim to focus our attention on the needs of the users of these databases who have all too often been neglected in the past, rather than the needs of the people tasked with the creation of databases. It is important to note that we will continue to honor the independent integrity of each database that will contribute to our endeavor, as we are fully aware that each database was originally crafted for specific purposes and divergent goals. Services: * Database Catalog - A catalog of life science related databases constructed in Japan that are also available in English. Information such as URL, status of the database site (active vs. inactive), database provider, type of data and subjects of the study are contained for each database record. * Life Science Database Cross Search - A service for simultaneous searching across scattered life-science databases, ranging from molecular data to patents and literature. * Life Science Database Archive - maintains and stores the datasets generated by life scientists in Japan in a long-term and stable state as national public goods. The Archive makes it easier for many people to search datasets by metadata in a unified format, and to access and download the datasets with clear terms of use. * Taxonomy Icon - A collection of icons (illustrations) of biological species that is free to use and distribute. There are more than 200 icons of various species including Bacteria, Fungi, Protista, Plantae and Animalia. * GenLibi (Gene Linker to bibliography) - an integrated database of human, mouse and rat genes that includes automatically integrated gene, protein, polymorphism, pathway, phenotype, ortholog/protein sequence information, and manually curated gene function and gene-related or co-occurred Disease/Phenotype and bibliography information. * Allie - A search service for abbreviations and long forms utilized in life sciences. It provides a solution to the issue that many abbreviations are used in the literature, and polysemous or synonymous abbreviations appear frequently, making it difficult to read and understand scientific papers that are not relevant to the reader's expertise. * inMeXes - A search service for English expressions (multiple words) that appear no less than 10 times in PubMed/MEDLINE titles or abstracts. In addition, you can easily access the sentences where the expression was used or other related information by clicking one of the search results. * HOWDY - (Human Organized Whole genome Database) is a database system for retrieving human genome information from 14 public databases by using official symbols and aliases. The information is daily updated by extracting data automatically from the genetic databases and shown with all data having the identifiers in common and linking to one another. * MDeR (the MetaData Element Repository in life sciences) - a web-based tool designed to let you search, compare and view Data Elements. MDeR is based on the ISO/IEC 11179 Part3 (Registry metamodel and basic attributes). * Human Genome Variation Database - A database for accumulating all kinds of human genome variations detected by various experimental techniques. * MEDALS - A portal site that provides information about databases, analysis tools, and the relevant projects, that were conducted with the financial support from the Ministry of Economy, Trade and Industry of Japan. | life science, research, database, catalog, tool, gene, service, molecule, patent, literature, taxonomy, image, bacteria, fungus, protist, plant, animal, human, mouse, rat, gene, protein, polymorphism, pathway, phenotype, ortholog, protein sequence, gene function, disease, phenotype, bibliography, english expression, human genome, genome, human genome variation, variation, analysis tool |
has parent organization: Japan Science and Technology Agency is parent organization of: Human Variation DB is parent organization of: Japanese Genotype-phenotype Archive (JGA) is parent organization of: ChIP-Atlas |
Japan Science and Technology Agency | nlx_151485 | SCR_000814 | National Bioscience Database Center, National Bioscience Database Center (NBDC) | 2026-09-05 06:30:36 | 3 | |||||||
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International Gene Trap Consortium Resource Report Resource Website 10+ mentions |
International Gene Trap Consortium (RRID:SCR_002305) | IGTC | biomaterial supply resource, cell repository, material resource | Consortium represents all publicly available gene trap cell lines, which are available on non-collaborative basis for nominal handling fees. Researchers can search and browse IGTC database for cell lines of interest using accession numbers or IDs, keywords, sequence data, tissue expression profiles and biological pathways, can find trapped genes of interest on IGTC website, and order cell lines for generation of mutant mice through blastocyst injection. Consortium members include: BayGenomics (USA), Centre for Modelling Human Disease (Toronto, Canada), Embryonic Stem Cell Database (University of Manitoba, Canada), Exchangeable Gene Trap Clones (Kumamoto University, Japan), German Gene Trap Consortium provider (Germany), Sanger Institute Gene Trap Resource (Cambridge, UK), Soriano Lab Gene Trap Resource (Mount Sinai School of Medicine, New York, USA), Texas Institute for Genomic Medicine - TIGM (USA), TIGEM-IRBM Gene Trap (Naples, Italy). | embryo, embryonic, gene, genome, allele, analysis, assay, bioinformatics, blastocyst, cell, colony, consortium, genotyping, hybridization, in situ, international, knockout, murine, mutant, mutation, probe, qpcr, researcher, scientist, sequence, stem cell, tagging, trap, vector, cell line, embryonic stem cell line, FASEB list |
is listed by: One Mind Biospecimen Bank Listing is related to: Centre for Modeling Human Disease Gene Trap Resource has parent organization: University of California at San Francisco; California; USA is parent organization of: International Gene Trap Consortium Pathways |
NCRR P41 RR01081 | PMID:16381950 | Restricted | nif-0000-00036 | https://igtc.org/ | SCR_002305 | International Gene Trap Consortium | 2026-09-05 06:30:37 | 43 | ||||
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FGED Resource Report Resource Website 10+ mentions |
FGED (RRID:SCR_001897) | FGED | data or information resource, knowledge environment, portal | Society that develop standards for biological research data quality, annotation and exchange. They facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. They promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis. Historically, FGED began with a focus on microarrays and gene expression data. However, the scope of FGED now includes data generated using any technology when applied to genome-scale studies of gene expression, binding, modification and other related applications. | gene expression, gene modification, biological, biologist, biomedical, computer scientist, data analyst, genomic, integration, life science, microarray, technology, functional genomics, annotate, data sharing, genome, data integration, software |
is listed by: OMICtools is parent organization of: MINSEQE is parent organization of: MAGE is parent organization of: MIAME |
OMICS_01778, nif-0000-10466 | http://www.mged.org/ | SCR_001897 | Functional Genomics Data Society, MGED Society, The Microarray Gene Expression Data Society, The Functional Genomics Data Society, MGED | 2026-09-05 06:30:37 | 24 | |||||||
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Plant Metabolic Network Resource Report Resource Website 100+ mentions |
Plant Metabolic Network (RRID:SCR_002888) | data or information resource, portal, project portal | Collaborative project to bring together biochemical pathway databases and research communities focused on plant metabolism. Used to build broad network of plant metabolic pathway databases. Central feature of PMN is PlantCyc, comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism. | e. coli, gene, arabidopsis, barley, coffee, database, genome, grass, homolog, maize, medicago, oats, pathway, pepper, plant, potato, rice, rye, sorghum, species, taxonomy, tomato, wheat, ontology | lists: PlantCyc | SCR_003778, nif-0000-25602, nlx_15806 | SCR_002888 | Plant Biochemical Pathway Databases | 2026-09-05 06:30:38 | 162 | |||||||||
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IMG System Resource Report Resource Website 100+ mentions |
IMG System (RRID:SCR_002965) | IMG, IMG/M | data or information resource, portal | Resource for analysis and annotation of genome and metagenome datasets in comprehensive comparative context. IMG provides users with tools for analyzing publicly available genome datasets and metagenome datasets. | microbiome, microbial genetics, genome and metagenome datasets analysis, genome and metagenome datasets, genome, metagenomics, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: Human Microbiome Project has parent organization: DOE Joint Genome Institute |
PMID:17932063 PMID:22086953 |
Free, Freely available | nif-0000-03010, OMICS_01478, SCR_014605, biotools:img_m | http://img.jgi.doe.gov/m, https://bio.tools/img_m | SCR_002965 | Integrated Microbial Genomes System | 2026-09-05 06:30:38 | 212 | |||||
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DOE Joint Genome Institute Resource Report Resource Website 500+ mentions |
DOE Joint Genome Institute (RRID:SCR_003045) | DOE JGI, JGI, | data or information resource, organization portal, portal | Institute to advance genomics in support of the DOE missions related to clean energy generation and environmental characterization and cleanup. Supported by the DOE Office of Science, the DOE JGI unites the expertise at Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, and the HudsonAlpha Institute for Biotechnology. The facility provides integrated high-throughput sequencing and computational analysis that enable systems-based scientific approaches to these challenges. | genomics, sequencing, computational analysis, clean energy, environment, biotechnology, nucleotide sequence, protein, genome, bacteria, microorganism, fungal colony, fungal community, dna, phenotype, molecular biology, life science, genomics, genetics, nature, nurture, ecology, bioenergetics, high-throughput sequencing |
is listed by: re3data.org has parent organization: University of California; California; USA is parent organization of: Microbial Genetics Resource at JGI is parent organization of: JGI Genome Portal is parent organization of: Genomes Online Database is parent organization of: IMG System is parent organization of: Classifier for Metagenomic Sequences is parent organization of: MycoCosm is parent organization of: Plant Genome Resource at JGI is parent organization of: Classifier for Metagenomic Sequences is parent organization of: Phytozome is parent organization of: IMG is parent organization of: Metagenomics Program at JGI is parent organization of: Assembly Likelihood Estimator is parent organization of: 1000 Fungal Genome Project is parent organization of: Bestus Bioinformaticus Tools is parent organization of: Bestus Bioinformaticus Duk is parent organization of: Bestus Bioinformaticus Merge is parent organization of: Reformat |
DOE | Free, Freely available | nif-0000-30425 | SCR_003045 | DOE Joint Genome Institute - Enabling Advances in Bioenergy & Environmental Research, Department of Energy Joint Genome Institute, Joint Genome Institute | 2026-09-05 06:30:38 | 701 | ||||||
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Human Gene Connectome Resource Report Resource Website 1+ mentions |
Human Gene Connectome (RRID:SCR_002628) | HGC | data or information resource, data set, software resource | Data set containing a gene-specific connectome file for each human gene and computer programs for ranking lists of genes within a gene-specific connectome, clustering and plotting the genes by the functional genomic alignment (FGA) approach, and generating gene-specific connectomes. The programs were developed and tested on Mac and Linux systems. The external software required for running these programs is open-source and free of charge. The HGC is the set of all biologically plausible routes, distances, and degrees of separation between all pairs of human genes. A gene-specific connectome contains the set of all available human genes sorted on the basis of their predicted biological proximity to the specific gene of interest. The HGC is a powerful approach for human genotype-phenotype high-throughput studies, for which it can be used to rank any list of genes within a gene-specific connectome for an experimentally validated core gene. Functional genomic alignment (FGA) is equivalent to traditional multiple sequence alignment (MSA), except that it clusters genes in trees on the basis of the functional biological distance between them predicted by HGC, rather than on the basis of molecular evolutionary genetic distance. This method is therefore more suitable for disease and phenotypic studies. | gene, disease, phenotype, genome, connectome, functional genomic alignment |
has parent organization: Rockefeller University; New York; USA is parent organization of: Human Gene Connectome Server |
NCATS 8 UL1 TR000043 | PMID:23509278 | Free | nlx_156050 | SCR_002628 | 2026-09-05 06:30:38 | 6 | ||||||
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National Genome Research Network Resource Report Resource Website 10+ mentions |
National Genome Research Network (RRID:SCR_006626) | NGFN | data or information resource, organization portal, portal | The program of medical genome research is a large-scale biomedical research project which extends the national genome research net (NGFN) and will be funded by the federal ministry of education and research (BMBF) from 2008-2013. Currently the program includes two fields: * Research ** NGFN-Plus: With the aim on combating diseases that are central to health policy, several hundred researchers are systematically investigating the complex molecular interactions of the human body. They are organized in 26 Integrated Genome Research Networks. * Application ** NGFN-Transfer: The rapid transfer of results from medical genome research into medical and industrial application is the aim of the scientists from research institutes and biomedical enterprises that cooperate in eight Innovation Alliances. AREAS OF DISEASE * Cardiovascular disease * Cancer * Neuronal diseases * Infections and Inflammations * Environmental factors | genome, research, gene, disease | Cardiovascular disease, Cancer, Neuronal disease, Infectious disease, Inflammation, Disease linked to environment | BMBF | nlx_151595 | SCR_006626 | NGFN - National Genome Research Network, German National Genome Research Network | 2026-09-05 06:30:42 | 26 | |||||||
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WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation Resource Report Resource Website 10+ mentions |
WebApollo: A Web-Based Sequence Annotation Editor for Community Annotation (RRID:SCR_005321) | WebApollo | production service resource, service resource, software resource, source code | WebApollo is an extensible web-based sequence annotation editor for community annotation. No software download is required and the annotations are saved to a centralized database with real-time annotation updating. (The edit server mediates annotation changes made by multiple users.) The Web based client uses JBrowse, is fast and highly interactive. WebApollo accesses many types of genomic data including access to public data from UCSC, Ensembl, and GMOD Chado databases. Source code (BSD License) * Client source code: https://github.com/berkeleybop/jbrowse * Annotation editing engine: http://code.google.com/p/apollo-web * Data model and I/O layer: http://code.google.com/p/gbol * Trellis server code: http://code.google.com/p/genomancer | sequence, annotation, genome |
has parent organization: Lawrence Berkeley National Laboratory has parent organization: University of California at Berkeley; Berkeley; USA has parent organization: Georgetown University; Washington D.C.; USA |
nlx_144381 | SCR_005321 | WebApollo - A Web-Based Sequence Annotation Editor for Community Annotation | 2026-09-05 06:30:41 | 13 | ||||||||
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CLC Main Workbench Resource Report Resource Website 10+ mentions |
CLC Main Workbench (RRID:SCR_000354) | CLC Main Workbench | software resource, software toolkit | A suite of software for DNA, RNA and protein sequence data analysis. The software allows for the analysis and visualization of Sanger sequencing data as well as gene expression analysis, molecular cloning, primer design, phylogenetic analyses, and sequence data management. | sequencing, analysis, cloning, data, management, molecular, gene, genome, dna, rna |
is listed by: OMICtools is listed by: SoftCite |
Restricted | OMICS_01813 | SCR_000354 | 2026-09-05 06:32:21 | 31 |
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