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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Microbial Genomics Program Resource Report Resource Website 1+ mentions |
Microbial Genomics Program (RRID:SCR_008140) | data or information resource, database | Through its Microbial Genome Program (MGP) and its Genomics:GTL (GTL) program, DOEs Office of Biological and Environmental Research (BER) has sequenced more than 485 microbial genomes and 30 microbial communities having specialized biological capabilities. Identifying these genes will help investigators discern how gene activities in whole living systems are orchestrated to solve myriad life challenges. The MGP was begun in 1994 as a spinoff from the Human Genome Program. The goal of the program was to sequence the genomes of a number of nonpathogenic microbes that would be useful in solving DOE''s mission challenges in environmental-waste cleanup, energy production, carbon cycling, and biotechnology. Past projects include microbial genome program, microbial cell project, and the Laboratory Science Program at the DOE Joint Genome Institute. The two ongoing projects are Genomics: GTL program and Community Sequencing Program at the DOE Joint Genome Institute. Sponsors: Site sponsored by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | energy, environmental, gene, biological, biotechnology, carbon, community, cylcling, genome, genomic, living, microbes, microbial, nonpathogenic, system | has parent organization: United States Department of Energy | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20962 | SCR_008140 | MGP | 2026-09-12 01:01:57 | 2 | ||||||||
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Mammalian Protein Complex Data Base Resource Report Resource Website |
Mammalian Protein Complex Data Base (RRID:SCR_008209) | data or information resource, database | A database of manually annotated mammalian protein complexes. To obtain a high-quality dataset, information was extracted from individual experiments described in the scientific literature. Data from high-throughput experiments was not included. | gene, genome, mammalian, protein, proteomics, structure | The Munich Information Center for Protein Sequences ; MPCDB |
nif-0000-21273 | SCR_008209 | 2026-09-12 01:01:58 | 0 | ||||||||||
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Caenorhabditis Genome Sequencing Projects Resource Report Resource Website |
Caenorhabditis Genome Sequencing Projects (RRID:SCR_008155) | data or information resource, database | The Sanger Institute and the Genome Sequencing Center at the Washington University School of Medicine, St. Louis have collaborated to sequence the genomes of both C. elegans and C. briggsae. The completed C. elegans genome sequence is represented by over 3,000 individual clone sequences which can be accessed through this site (or through WormBase). These sequences are submitted to EMBL whenever the sequence or annotation changes (e.g. modification to gene structures) and these submissions are then mirrored to GenBank and DDBJ. These sequences (along with ESTs and proteins) can be searched on our C. elegans BLAST server. WormBase is the repository of mapping, sequencing and phenotypic information for C. elegans. The worm informatics group at the Sanger Institute play a key role in assembling the whole database. They also curate and develop some of the constituent databases that comprise WormBase. | elegans, briggsae, caenorhabditis, clone, genome, mapping, phenotypic, sequence | has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom | nif-0000-21001 | SCR_008155 | CGSP | 2026-09-12 01:01:58 | 0 | |||||||||
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Database of oligomerization domains from lambda experiments Resource Report Resource Website |
Database of oligomerization domains from lambda experiments (RRID:SCR_008107) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Doodle is a database that was developed to store and distribute information about the protein oligomerization domains that are encoded by various genomes. The protein oligomerization domains described here were found using the lambda repressor fusion system. Doodle uses a schema that is based on EnsEMBL, while also utilizing bioperl modules to both store and retrieve data. The frontend was developed entirely in perl, while the backend utilizes MySQL. GMOD was used to develop the genomic view. | genome, oligomerization, protein | has parent organization: Texas A and M University; Texas; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20834 | SCR_008107 | Doodle | 2026-09-12 01:01:57 | 0 | ||||||||
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Plasmid Genome Database Resource Report Resource Website 10+ mentions |
Plasmid Genome Database (RRID:SCR_008228) | data or information resource, database | The Plasmid Genome Database aims to collate biological and genomic data for all bacterial plasmids in the hopes of enabling rapid, interrogation of both meta- and genomic data. Data maintained includes access to all plasmid genomes and information on core genomic features obtained from parsing the original EMBL/DDBJ/NCBI submission. In addition a suite of third party analyses has been performed for each genome to supplement the original annotation. This site also links to Genome Atlases provided by the Centre for Biological Sequence Analysis (CBS). The motivation behind the construction of this site derived from observations from genome sequencing projects: the abundance and inferred importance of the horizontal gene pool (HGP) in bacterial adaptation and evolution. In so far as plasmids are autonomously replicating, extrachromosomal elements they are a readily identifiable and accessible component of the HGP. Also plasmids have been identified in almost all bacterial divisions, ranging in size from less than 2 kbp to > 1.5 Mbp and as such represent a defined, yet diverse and complex sample of genes in the HGP. | element, evolution, extrachromosomal, gene, adaptation, atlas, autonomous, bacterial, biological, division, genome, genomic, hgp, plasmid, pool, prokaryote databases, replicate | nif-0000-21323 | http://www.genomics.ceh.ac.uk/plasmiddb/ | SCR_008228 | PGD | 2026-09-12 01:01:59 | 25 | |||||||||
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Protochlamydia amoebophila UWE25 Resource Report Resource Website |
Protochlamydia amoebophila UWE25 (RRID:SCR_008222) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. This is the official database of the environmental chlamydia genome project. This resource provides access to finished sequence for Parachlamydia-related symbiont UWE25 and to a wide range of manual annotations, automatical analyses and derived datasets. Functional classification and description has been manually annotated according to the Annotation guidelines. Chlamydiae are the major cause of preventable blindness and sexually transmitted disease. Genome analysis of a chlamydia-related symbiont of free-living amoebae revealed that it is twice as large as any of the pathogenic chlamydiae and had few signs of recent lateral gene acquisition. We showed that about 700 million years ago the last common ancestor of pathogenic and symbiotic chlamydiae was already adapted to intracellular survival in early eukaryotes and contained many virulence factors found in modern pathogenic chlamydiae, including a type III secretion system. Ancient chlamydiae appear to be the originators of mechanisms for the exploitation of eukaryotic cells. Environmental chlamydiae have recently been recognized as obligate endosymbionts of free-living amoebae and have been implicated as potential human pathogens. Environmental chlamydiae form a deep branching evolutionary lineage within the medically important order Chlamydiales. Despite their high diversity and ubiquitous distribution in clinical and environmental samples only limited information about genetics and ecology of these microorganisms is available. The Parachlamydia-related Acanthamoeba symbiont UWE25 was therefore selected as representative environmental chlamydia strain for whole genome sequencing. Comparative genome analysis was performed using PEDANT and simap. Sponsors: The environmental chlamydia genome project was funded by the bmb+f (German Federal Ministry of Education and Research) and is part of the Competence Network PathoGenoMiK. | ecology, endosymbiont, environmental, eukaryote, eukaryotic, evolutionary, functional, gene, genetic, acanthamoeba, amoebae, blindness, cell, chlamydia, classification, clinical, genome, human, intracellular, lateral, lineage, mechanism, microorganism, obligate, parachlamydia, pathogen, pathogenic, sequence, sexually, strain, survival, symbiont, transmitted disease, uwe25, virulence | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21310 | SCR_008222 | Protochlamydia amoebophila UWE25 | 2026-09-12 01:01:59 | 0 | |||||||||
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CDKN2A Database Resource Report Resource Website |
CDKN2A Database (RRID:SCR_008179) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms. | evolutionary, familial, function, functional, gene, gene-, genetic, allele, allelic, alteration, cancer, carcinogenesis, cdkn2a, crystal, disease, genome, germline, hereditary, human, locus, melanoma, missense, model, mutation, nucleotide, or disease- specific databases, polymorphism, single, snp, somatic, structural, structure, suppressor, syndrome, system-, tumor, variant, variation | has parent organization: University of Vermont; Vermont; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21079 | SCR_008179 | CDKN2A Database | 2026-09-12 01:01:58 | 0 | ||||||||
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LAMHDI: The Initiative to Link Animal Models to Human DIsease Resource Report Resource Website 1+ mentions |
LAMHDI: The Initiative to Link Animal Models to Human DIsease (RRID:SCR_008643) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, it has been replaced by Monarch Initiative. LAMHDI, the initiative to Link Animal Models to Human DIsease, is designed to accelerate the research process by providing biomedical researchers with a simple, comprehensive Web-based resource to find the best animal model for their research. LAMDHI is a free, Web-based, resource to help researchers bridge the gap between bench testing and human trials. It provides a free, unbiased resource that enables scientists to quickly find the best animal models for their research studies. LAMHDI includes mouse data from MGI, the Mouse Genome Informatics website; zebrafish data from ZFIN, the Zebrafish Model Organism Database; rat data from RGD, the Rat Genome Database; yeast data from SGD, the Saccharomyces Genome Database; and fly data from FlyBase. LAMHDI.org is operational today, and data is added regularly. Enhancements are planned to let researchers contribute their knowledge of the animal models available through LAMHDI. The LAMHDI goal is to allow researchers to share information about and access to animal models so they can refine research and testing, and reduce or replace the use of animal models where possible. LAMHDI Database Search: LAMHDI brings together scientifically validated information from various sources to create a composite multi-species database of animal models of human disease. To do this, the LAMHDI database is prepared from a variety of sources. The LAMHDI team takes publicly available data from OMIM, NCBI''s Entrez Gene database, Homologene, and WikiPathways, and builds a mathematical graph (think of it as a map or a web) that links these data together. OMIM is used to link human diseases with specific human genes, and Entrez provides universal identifiers for each of those genes. Human genes are linked to their counterpart genes in other species with Homologene, and those genes are linked to other genes tentatively or authoritatively using the data in WikiPathways. This preparatory work gives LAMHDI a web of human diseases linked to specific human genes, orthologous human genes, homologous genes in other species, and both human and non-human genes involved in specific metabolic pathways associated with those diseases. LAMHDI includes model data that partners provide directly from their data structures. For instance, MGI provides information about mouse models, including a disease for each model, as well as some genetic information (the ID of the model, in fact, identifies one or more genes). ZFIN provides genetic information for each zebrafish model, but no diseases, so zebrafish models are integrated by using the genes as the glue. For instance, a zebrafish model built to feature the zebrafish PKD2 gene would plug into the larger disease-gene map at the node representing the zebrafish PKD2 gene, which is connected to the node representing the human PKD2 gene, which in turn is connected to the node representing the human disease known as polycystic kidney disease. (Some of the partner data LAMHDI receives can even extend the base map. MGI provides a disease for every model, and in some cases this allows the creation of a disease-to-gene relationship in the LAMHDI database that might not already be documented in the OMIM dataset.) With curatorial and model information in hand, LAMHDI runs a lengthy automated process that exhaustively searches for every possible path between each model and each disease in the data, up to a set number of hops, producing for each disease-to-model pair a set of links from the disease to the model. The algorithm avoids circular paths and paths that include more than one disease anywhere in the middle of the path. At the end of this phase, LAMHDI has a comprehensive set of paths representing all the disease-to-model relationships in the data, varying in length from one hop to many hops. Each disease-to-model path is essentially a string of nodes in the data, where each node represents a disease, a gene, a linkage between genes (an orthologue, a homologue, or a pathway connection, referred to as a gene cluster or association), or a model. Each node has a human-friendly label, a set of terms and keywords, and - in most cases - a URL linking the node to the data source where it originated. When a researcher submits a search on the LAMHDI website, LAMHDI searches for the user''s search terms in its precomputed list of all known disease-to-model paths. It looks for the terms not only in the disease and model nodes, but also in every node along each path. The complete set of hits may include multiple paths between any given disease-to-model pair of endpoints. Each of these disease-to-model pair sets is ordered by the number of hops it involves, and the one involving the fewest hops is chosen to represent its respective disease-to-model pair in the search results presented to the user. Results are sorted by scores that represent their matches. The number of hops is one barometer of the strength of the evidence linking the model and the disease; fewer hops indicates the relationship is stronger, more hops indicates it may be weaker. This indicator works best for comparing models from a single partner dataset: MGI explicitly identifies a disease for each mouse model, so there can be disease-to-model hits for mice that involve just one hop. Because ZFIN does not explicitly identify a disease for each model, no zebrafish model will involve fewer than four hops to the nearest disease, from the zebrafish model to a zebrafish gene to a gene cluster to a human gene to a human disease. | fly, animal, biologic, community, database, disease, genome, human, informatics, international, internet, knockout, model, mouse, network, organism, pathway, primate, rat, research, saccharomyces, testing, treatment, trial, worm, zebrafish |
has parent organization: University of Washington; Seattle; USA has parent organization: University of Wisconsin-Madison; Wisconsin; USA has parent organization: University of California at San Diego; California; USA |
NIH NS058296; NIH OD011883 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-32417 | SCR_008643 | LAMHDI | 2026-09-12 01:02:01 | 2 | |||||||
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Alzheimer Disease and Frontotemporal Dementia Mutation Database Resource Report Resource Website 1+ mentions |
Alzheimer Disease and Frontotemporal Dementia Mutation Database (RRID:SCR_008286) | data or information resource, database | A locus-specific database aimed at collecting known mutations and non-pathogenic coding variations in the genes related to Alzheimer disease (AD) and frontotemporal dementia (FTD), following the guidelines of the Human Genome Variation Society. Mutations can be retrieved based on the gene, phenotype and publication. The database contains mutations reported in the literature and at scientific meetings, and unpublished mutations directly submitted to the database. To date, AD&FTDMDB contains mutations in the genes encoding the Amyloid Beta Precursor Protein (APP), Presenilin 1 (PSEN1), Presenilin 2 (PSEN2), Chromatin Modifying Protein 2B (CHMP2B), fusion (involved in t(12;16) in malignant liposarcoma) (FUS), Granulin (GRN), Microtubule Associated Protein Tau (MAPT), TAR DNA binding protein (TARDBP) and Valosin-containing Protein (VCP) and holds 415 different mutations observed in 1027 patients or families. As of March 2013, the latest publications referenced were from 2008, indicating that this resource may not be up to date. | frontotemporal dementia, gene, alzheimers disease, genome, mrna, mutation, phenotype, single nucleotide polymorphism | has parent organization: University of Antwerp; Antwerp; Belgium | Alzheimer's disease, Frontotemporal dementia | PMID:17392794 | r3d100012441, nif-0000-23934 | https://doi.org/10.17616/R3277G, https://doi.org/10.17616/R3277G | SCR_008286 | ADandFTDMDB, AD and FTD Mutation Database | 2026-09-12 01:01:59 | 7 | ||||||
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DNAtraffic Resource Report Resource Website |
DNAtraffic (RRID:SCR_008886) | DNAtraffic | data or information resource, database | DNAtraffic database is dedicated to be an unique comprehensive and richly annotated database of genome dynamics during the cell life. DNAtraffic contains extensive data on the nomenclature, ontology, structure and function of proteins related to control of the DNA integrity mechanisms such as chromatin remodeling, DNA repair and damage response pathways from eight model organisms commonly used in the DNA-related study: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Escherichia coli and Arabidopsis thaliana. DNAtraffic contains comprehensive information on diseases related to the assembled human proteins. Database is richly annotated in the systemic information on the nomenclature, chemistry and structure of the DNA damage and drugs targeting nucleic acids and/or proteins involved in the maintenance of genome stability. One of the DNAtraffic database aim is to create the first platform of the combinatorial complexity of DNA metabolism pathway analysis. Database includes illustrations of pathway, damage, protein and drug. Since DNAtraffic is designed to cover a broad spectrum of scientific disciplines it has to be extensively linked to numerous external data sources. Database represents the result of the manual annotation work aimed at making the DNAtraffic database much more useful for a wide range of systems biology applications. DNAtraffic database is freely available and can be queried by the name of DNA network process, DNA damage, protein, disease, and drug. | dna, cell cycle, genome, nomenclature, ontology, structure, function, protein, chromatin remodeling, dna repair, damage response pathway, pathway, damage, drug, annotation, disease, dna network process, dna damage, gene sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Polish Academy of Sciences Warsaw; Warsaw; Poland |
Norwegian Financial Mechanism PNRF-143-AI-1/07; Polish Ministry of Science and Higher Education N N301 165835 |
PMID:22110027 | Free | biotools:dnatraffic, nlx_151312 | https://bio.tools/dnatraffic | SCR_008886 | DNAtraffic database | 2026-09-12 01:02:02 | 0 | ||||
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Genomic HyperBrowser Resource Report Resource Website 10+ mentions |
Genomic HyperBrowser (RRID:SCR_010909) | Genomic HyperBrowser | analysis service resource, data analysis service, production service resource, service resource | A generic web-based system, providing statistical methodology and computing power to handle a variety of biological inquires on genomic datasets. | genomic, genomic track, gene regulation, disease association, epigenetic modification, genome |
is listed by: OMICtools has parent organization: University of Oslo; Oslo; Norway |
PMID:23632163 PMID:21182759 |
OMICS_00638 | SCR_010909 | The Genomic HyperBrowser | 2026-09-12 01:02:06 | 20 | |||||||
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UCSC Cancer Genomics Browser Resource Report Resource Website 500+ mentions |
UCSC Cancer Genomics Browser (RRID:SCR_011796) | Cancer Genomics Browser | data or information resource, database, service resource | A suite of web-based tools to visualize, integrate and analyze cancer genomics and its associated clinical data. It is possible to display your own clinical data within one of their datasets. | genome, genomics, clinical, next-generation sequencing, chromosome, gene, FASEB list |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
Cancer | NCI ; NHGRI ; American Association for Cancer Research ; UCSF Comprehensive Cancer Center ; California Institute for Quantitative Biosciences |
PMID:23109555 PMID:21059681 PMID:19333237 |
Acknowledgement requested | OMICS_00925 | SCR_011796 | 2026-09-12 01:02:06 | 589 | |||||
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Fugu Genome Project Resource Report Resource Website 10+ mentions |
Fugu Genome Project (RRID:SCR_013014) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE,documented on August 16, 2019. Fugu genome is among the smallest vertebrate genomes and has proved to be a valuable reference genome for identifying genes and other functional elements such as regulatory elements in the human and other vertebrate genomes, and for understanding the structure and evolution of vertebrate genomes. This site presents version 4 of the Fugu genome, released in October 2004 by the International Fugu Genome Consortium. Fugu rubripes has a very compact genome, with less than 15 consisting of dispersed repetitive sequence, which makes it ideal for gene discovery. A draft sequence of the fugu genome was determined by the International Fugu Genome Consortium in 2002 using the ''whole-genome shotgun'' sequencing strategy. Fugu is the second vertebrate genome to be sequenced, the first being the human genome. This webpage presents the annotation made on the fourth assembly by the IMCB team using the Ensembl annotation pipeline. We are continuing with the gap filling work and linking of the scaffolds to obtain super-contigs. | element, evolution, fish, fugu, functional, gene, genome, human, pufferfish, regulatory, rubripes, structure, vertebrate, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: Institute of Molecular and Cell Biology; Singapore; Singapore |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:fugu-sg, nif-0000-20988 | https://bio.tools/fugu-sg | SCR_013014 | FGP | 2026-09-12 01:02:09 | 22 | |||||||
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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) | 2026-09-12 01:00:51 | 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 | 2026-09-12 01:00:53 | 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 | 2026-09-12 01:00:52 | 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 | 2026-09-12 01:00:53 | 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 | 2026-09-12 01:00:53 | 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 | 2026-09-12 01:00:54 | 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 | 2026-09-12 01:00:53 | 6 |
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