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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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LegumeIP Resource Report Resource Website 10+ mentions |
LegumeIP (RRID:SCR_008906) | LegumeIP | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression. | gene function, genome evolution, legume, gene, genome, plant, genomics, transcriptomic, gene annotation, gene family, synteny, gene expression, blast, genomic sequence, microarray, rna-seq, comparative genomics, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools is related to: UniProt is related to: InterProScan is related to: Gene Ontology is related to: KEGG has parent organization: Samuel Roberts Noble Foundation |
Samuel Roberts Noble Foundation ; NSF ABI-0960897 |
PMID:22110036 | biotools:legumeip, nlx_151455 | https://bio.tools/legumeip | SCR_008906 | SciCrunch Registry | LegumeIP: an integrative database for comparative genomics and transcriptomics of model legumes, LegumeIP - An Integrative Platform to Study Gene Function and Genome Evolution in Legumes | 2026-10-24 12:46:15 | 23 | |||||
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INMEX Resource Report Resource Website 10+ mentions |
INMEX (RRID:SCR_004173) | INMEX | analysis service resource, data analysis service, production service resource, service resource | A web-based tool to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. | gene expression, meta-analysis, metabolomics, pathway, gene, metabolite, visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: KEGG is related to: Human Metabolome Database has parent organization: University of British Columbia; British Columbia; Canada |
Killam Trust ; Canadian Institutes of Health Research |
PMID:23766290 | Acknowledgement requested | biotools:inmex, OMICS_01546 | https://bio.tools/inmex | SCR_004173 | SciCrunch Registry | INtegrative Meta-analysis of EXpression data, INMEX - INtegrative Meta-analysis of EXpression data | 2026-10-24 12:50:28 | 19 | ||||
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RatMine Resource Report Resource Website 1+ mentions |
RatMine (RRID:SCR_004190) | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | RatMine integrates data from RGD, UniProtKB, NCBI, KEGG and other sources to form a web-based data warehouse and tool set tailored for rat based data research. Search RatMine by entering names, identifiers, or keywords for genes, proteins, pathways, papers, etc. Additionally, we support programmatic access to our data through Application Programming Interface - choose from Perl or Java API. RatMine is a data warehouse that integrates many diverse biological data sets. The main focus is R. norvegicus genomics and proteomics. By integrating such data into one place it is possible to construct queries across domains of biological knowledge. The RatMine user interface is designed to go beyond simply looking up an identifier and viewing a report page. Some of the features include: * Quick Search is available just like on other sites, type in an identifier to see a report page. * Template queries are ''canned'' queries that provide a simple form to perform a specific task. You can create your own templates if you log in. * Lists lets you operate on whole lists of data at once. You can upload lists or save them from results tables. We also create useful public lists for everyone to use. * MyMine lets you create an account to save your own queries, bags and templates, as well as marking public templates as favorites. | disease, interaction, proteins, single nucleotide, gene ontology, mammalian phenotype, publication, genomics, pathway, quantitative trait loci, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Medical College of Wisconsin; Wisconsin; USA |
biotools:RatMine, nlx_21635 | https://bio.tools/RatMine | SCR_004190 | SciCrunch Registry | 2026-10-24 12:45:09 | 5 | |||||||||
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CharProtDB: Characterized Protein Database Resource Report Resource Website |
CharProtDB: Characterized Protein Database (RRID:SCR_005872) | CharProtDB | data or information resource, database | The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated. | protein, annotation, functional annotation, taxonomic classification, literature, gene ontology, evidence code, enzyme commission, transport classification, protein sequence, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute |
NHGRI R01 HG004881; NIAID contract HHSN266200100038C |
PMID:22140108 | biotools:charprotdb, nlx_149421 | https://bio.tools/charprotdb | SCR_005872 | SciCrunch Registry | Characterized Protein Database | 2026-10-24 12:50:36 | 0 | |||||
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PhenoM - Phenomics of yeast Mutants Resource Report Resource Website |
PhenoM - Phenomics of yeast Mutants (RRID:SCR_006970) | PhenoM | analysis service resource, data analysis service, data or information resource, database, image collection, production service resource, service resource | Database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae, it allows storing, retrieving, visualizing and data mining the quantitative single-cell measurements extracted from micrographs of the temperature-sensitive (ts) mutant cells. PhenoM allows users to rapidly search and retrieve raw images and their quantified morphological data for genes of interest. The database also provides several data-mining tools, including a PhenoBlast module for phenotypic comparison between mutant strains and a Gene Ontology module for functional enrichment analysis of gene sets showing similar morphological alterations. About one-fifth of the genes in the budding yeast are essential for haploid viability and cannot be functionally assessed using standard genetic approaches such as gene deletion. To facilitate genetic analysis of essential genes, we and others have assembled collections of yeast strains expressing temperature-sensitive (ts) alleles of essential genes. To explore the phenotypes caused by essential gene mutation we used a panel of genetically engineered fluorescent markers to explore the morphology of cells in the ts strain collection using high-throughput microscopy. The database contains quantitative measurements of 1,909,914 cells and 78,194 morphological images for 775 temperature-sensitive mutants spanning 491 different essential genes in permissive temperature (26* C) and restrictive temperature (32* C). The morphological images were generated by high-content screening (HCS) technology. | phenomics, phenotype, yeast, mutant, cell, morphology, essential gene, gene, high-content screening, microscopy, micrograph, mutant cell, temperature-sensitive allele, allele, genetic analysis, blast, mutation, orf, actin, dna damage, nucleus, mitochondria, plasma membrane, mitotic spindle, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Research Fund ; Fudan University - University of Toronto Exchange Scholarship ; Canadian Institutes of Health Research GMX-201237; Canadian Institutes of Health Research GMX-211012; Canadian Foundation for Innovation LEF-21475 |
PMID:22009677 | Free | nlx_151489, biotools:phenom, r3d100012722 | https://bio.tools/phenom, https://doi.org/10.17616/R3GJ5J | SCR_006970 | SciCrunch Registry | Phenomics of yeast Mutants, Phenomics of yeast Mutants (PhenoM) | 2026-10-24 12:45:52 | 0 | ||||
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CRCView Resource Report Resource Website |
CRCView (RRID:SCR_007092) | CRCView | analysis service resource, data analysis service, production service resource, service resource | Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in. | microarray, gene expression, cluster, gene, expression profile, data repository, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Bioconductor is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
University of Michigan; Michigan; USA ; Institutional Fund ; NIH U013422; NIAID 1R21AI057875-01 |
PMID:17485426 | Registration required | biotools:crcview, nlx_99864 | https://bio.tools/crcview | http://helab.bioinformatics.med.umich.edu/crcview/ | SCR_007092 | SciCrunch Registry | Chinese Restaurant ClusterView | 2026-10-24 12:50:42 | 0 | |||
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DIANA-mirPath Resource Report Resource Website 100+ mentions |
DIANA-mirPath (RRID:SCR_017354) | analysis service resource, data access protocol, data analysis service, production service resource, service resource, software resource, web service | Web tool for integrating human and mouse microRNAs in pathways.Pathway analysis web-server, providing statistics, while being able to accommodate advanced pipelines. Web server for assessment of miRNA regulatory roles and identification of controlled pathways. Supports all analyses for KEGG molecular pathways and Gene Ontology (GO) in seven species (Homo sapiens, Mus musculus, Rattus norvegicus, Drosophila melanogaster, Caenorhabditis elegans, Gallus gallus and Danio rerio).DIANA miRPath v.2.0 includes investigating combinatorial effect of microRNAs in pathways.DIANA-miRPath v3.0 includes deciphering microRNA function with experimental support., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | Pathway, analysis, statistics, assessment, miRNA, identify, regulatory, role, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of Thessaly; Thessaly; Greece is provided by: DIANA Tools works with: KEGG works with: Gene Ontology |
Development Grants For Research Institutions – KRIPIS ; European Regional Development Fund ; European Social Fund ; General Secretariat for Research and Technology ; Ministry of Education ; Greece ; John S. Latsis Public Benefit Foundation |
PMID:25977294 PMID:19435746 PMID:22649059 |
THIS RESOURCE IS NO LONGER IN SERVICE | SCR_017495, biotools:diana-mirpath | http://diana.imis.athena-innovation.gr/DianaTools/, http://www.microrna.gr/miRPathv3, https://bio.tools/diana-mirpath | http://www.microrna.gr/miRPathv2 | SCR_017354 | SciCrunch Registry | miRPath, miRPathv3, miRPathv2, DIANA-miRPath v2.0, DIANA-miRPath v3.0 | 2026-10-24 12:47:47 | 424 | ||||
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BioPerl Resource Report Resource Website 100+ mentions |
BioPerl (RRID:SCR_002989) | BioPerl | data or information resource, narrative resource, software repository, software resource, software toolkit, source code, wiki | BioPerl is a community effort to produce Perl code which is useful in biology. This toolkit of perl modules is useful in building bioinformatics solutions in Perl. It is built in an object-oriented manner so that many modules depend on each other to achieve a task. The collection of modules in the bioperl-live repository consist of the core of the functionality of bioperl. Additionally auxiliary modules for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), running and parsing the results from hundreds of bioinformatics applications (Run package), software to automate bioinformatic analyses (bioperl-pipeline) are all available as Git modules in our repository. The BioPerl toolkit provides a library of hundreds of routines for processing sequence, annotation, alignment, and sequence analysis reports. It often serves as a bridge between different computational biology applications assisting the user to construct analysis pipelines. This chapter illustrates how BioPerl facilitates tasks such as writing scripts summarizing information from BLAST reports or extracting key annotation details from a GenBank sequence record. BioPerl includes modules written by Sohel Merchant of the GO Consortium for parsing and manipulating OBO ontologies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | perl, biology, ontology, library, sequence, analysis, computational, application, pipeline, bioinformatics, sequence, annotation, module, life science, python, java, genome, software library, parse, manipulate, bio.tools |
is listed by: Gene Ontology Tools is listed by: Debian is listed by: bio.tools is listed by: OMICtools is listed by: SoftCite is related to: Gene Ontology is related to: OBO has parent organization: Duke University; North Carolina; USA has parent organization: European Bioinformatics Institute is required by: RelocaTE |
NIGMS T32 GM07754-22; NHGRI K22 HG00056; NHGRI K22 HG-00064-01; NHGRI HG00739; NHGRI P41HG02223 |
PMID:12368254 DOI:10.1101/gr.361602 |
Free, Available for download, Freely available | OMICS_04849, nif-0000-30188, biotools:bioperl | https://bio.tools/bioperl, https://sources.debian.org/src/bioperl/ | SCR_002989 | SciCrunch Registry | 2026-10-24 12:44:50 | 408 | |||||
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ASPGD Resource Report Resource Website 100+ mentions |
ASPGD (RRID:SCR_002047) | ASPGD, ASPGD LOCUS, ASPGD REF | data or information resource, data repository, database, service resource, storage service resource | Database of genetic and molecular biological information about the filamentous fungi of the genus Aspergillus including information about genes and proteins of Aspergillus nidulans and Aspergillus fumigatus; descriptions and classifications of their biological roles, molecular functions, and subcellular localizations; gene, protein, and chromosome sequence information; tools for analysis and comparison of sequences; and links to literature information; as well as a multispecies comparative genomics browser tool (Sybil) for exploration of orthology and synteny across multiple sequenced Sgenus species. Also available are Gene Ontology (GO) and community resources. Based on the Candida Genome Database, the Aspergillus Genome Database is a resource for genomic sequence data and gene and protein information for Aspergilli. Among its many species, the genus contains an excellent model organism (A. nidulans, or its teleomorph Emericella nidulans), an important pathogen of the immunocompromised (A. fumigatus), an agriculturally important toxin producer (A. flavus), and two species used in industrial processes (A. niger and A. oryzae). Search options allow you to: *Search AspGD database using keywords. *Find chromosomal features that match specific properties or annotations. *Find AspGD web pages using keywords located on the page. *Find information on one gene from many databases. *Search for keywords related to a phenotype (e.g., conidiation), an allele (such as veA1), or an experimental condition (e.g., light). Analysis and Tools allow you to: *Find similarities between a sequence of interest and Aspergillus DNA or protein sequences. *Display and analyze an Aspergillus sequence (or other sequence) in many ways. *Navigate the chromosomes set. View nucleotide and protein sequence. *Find short DNA/protein sequence matches in Aspergillus. *Design sequencing and PCR primers for Aspergillus or other input sequences. *Display the restriction map for a Aspergillus or other input sequence. *Find similarities between a sequence of interest and fungal nucleotide or protein sequences. AspGD welcomes data submissions. | function, gene, gene name, annotation, aspergillus, aspergillus nidulans, chromosome, community, dna, genome, genomic, localization, orthology, phenotype, protein, protein-coding genes, s. cerevisiae, sequence, allele, data analysis service, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: Candida Genome Database is related to: AmiGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Broad Institute |
NIAID R01 AI077599 | PMID:19773420 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-12244, biotools:aspgd | http://www.aspergillusgenome.org/, https://bio.tools/aspgd | SCR_002047 | SciCrunch Registry | Aspergillus Genome Database, ASPGD REF, ASPGD LOCUS | 2026-10-24 12:44:39 | 218 | ||||
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FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, data processing software, software application, software resource | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | SciCrunch Registry | FunCluster R Package, FunCluster Algorithm | 2026-10-24 12:45:32 | 2 | |||||
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CoPub Resource Report Resource Website 1+ mentions |
CoPub (RRID:SCR_005327) | CoPub | data access protocol, service resource, software resource, web service | Text mining tool that detects co-occuring biomedical concepts in abstracts from the MedLine literature database. It allows batch input of multiple human, mouse or rat genes and produces lists of keywords from several biomedical thesauri that are significantly correlated with the set of input genes. These lists link to Medline abstracts in which the co-occurring input genes and correlated keywords are highlighted. Furthermore, CoPub can graphically visualize differentially expressed genes and over-represented keywords in a network, providing detailed insight in the relationships between genes and keywords, and revealing the most influential genes as highly connected hubs. | microarray, gene, literature, enrich, annotate, network, database, differential expression, bio.tools |
uses: MEDLINE uses: Gene Ontology is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Netherlands Bioinformatics Centre |
Netherlands Bioinformatics Centre | PMID:18442992 | Free, Public, Acknowledgement requested | OMICS_01178, biotools:copub | https://bio.tools/copub | http://services.nbic.nl/cgi-bin/copub/CoPub.pl | SCR_005327 | SciCrunch Registry | 2026-10-24 12:45:25 | 5 | ||||
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Stem Cell Discovery Engine Resource Report Resource Website 50+ mentions |
Stem Cell Discovery Engine (RRID:SCR_004453) | SCDE | analysis service resource, data or information resource, data repository, database, production service resource, service resource, software resource, source code, storage service resource | An online database of curated cancer stem cell (CSC) experiments coupled to the Galaxy analytical framework. Driven by a need to improve our understanding of molecular processes that are common and unique across cancer stem cells (CSCs), the SCDE allows users to consistently describe, share and compare CSC data at the gene and pathway level. The initial focus has been on carefully curating tissue and cancer stem cell-related experiments from blood, intestine and brain to create a high quality resource containing 53 public studies and 1098 assays. The experimental information is captured and stored in the multi-omics Investigation/Study/Assay (ISA-Tab) format and can be queried in the data repository. A linked Galaxy framework provides a comprehensive, flexible environment populated with novel tools for gene list comparisons against molecular signatures in GeneSigDB and MSigDB, curated experiments in the SCDE and pathways in WikiPathways. Investigation/Study/Assay (ISA) infrastructure is the first general-purpose format and freely available desktop software suite targeted to experimentalists, curators and developers and that: * assists in the reporting and local management of experimental metadata (i.e. sample characteristics, technology and measurement types, sample-to-data relationships) from studies employing one or a combination of technologies; * empowers users to uptake community-defined minimum information checklists and ontologies, where required; * formats studies for submission to a growing number of international public repositories endorsing the tools, currently ENA (genomics), PRIDE (proteomics) and ArrayExpress (transcriptomics). Galaxy allows you to do analyses you cannot do anywhere else without the need to install or download anything. You can analyze multiple alignments, compare genomic annotations, profile metagenomic samples and much much more. Best of all, Galaxy''''s history system provides a complete analyses record that can be shared. Every history is an analysis workflow, which can be used to reproduce the entire experiment. The code for this Galaxy instance is available for download from BitBucket. | stem cell, analysis, cancer stem cell, galaxy, gene, pathway, molecular signature, tissue, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is related to: Galaxy is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard T.H. Chan School of Public Health |
Cancer | NCI 1RC2CA148222-01 | PMID:22121217 | Free, The community can contribute to this resource | biotools:scde_discovery, nlx_44656 | https://bio.tools/scde_discovery | SCR_004453 | SciCrunch Registry | Harvard Stem Cell Discovery Engine, SCDE - Stem Cell Discovery Engine | 2026-10-24 12:45:12 | 57 | |||
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IMGT/LIGM-DB Resource Report Resource Website 10+ mentions |
IMGT/LIGM-DB (RRID:SCR_006931) | IMGT LIGM, IMGT/LIGM | data or information resource, database | IMGT/LIGM-DB is a comprehensive database of immunoglobulin (IG) and T cell receptor (TR) nucleotide sequences from human and other vertebrate species (270). IMGT/LIGM-DB includes all germline (non-rearranged) and rearranged IG and TR genomic DNA (gDNA) and complementary DNA (cDNA) sequences published in generalist databases. IMGT/LIGM-DB allows searches from the Web interface according to biological and immunogenetic criteria through five distinct modules depending on the user interest. Users can search the catalogue by accession number, mnemonic, definition, creation date, length, or annotation level. They also have the option to search through taxonomic classification, keywords, and annotated labels. For a given entry, nine types of display are available including the IMGT flat file, the translation of the coding regions and the analysis by the IMGT/V-QUEST tool (see parent org. below). IMGT/LIGM-DB distributes expertly annotated sequences. The annotations hugely enhance the quality and the accuracy of the distributed detailed information. They include the sequence identification, the gene and allele classification, the constitutive and specific motif description, the codon and amino acid numbering, and the sequence obtaining information, according to the main concepts of IMGT-ONTOLOGY. They represent the main source of IG and TR gene and allele knowledge stored in IMGT/GENE-DB and in the IMGT reference directory., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | nucleotide sequence, gold standard or authority, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: IMGT - the international ImMunoGeneTics information system |
PMID:16381979 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:IMGt_LIGM-Db, nif-0000-03015, r3d100012534 | https://bio.tools/IMGT_LIGM-DB, https://doi.org/10.17616/R3VV2X | http://imgt.cines.fr, http://imgt.cines.fr/cgi-bin/IMGTlect.jv | SCR_006931 | SciCrunch Registry | IMGT LIGM, IMGT/LIGM, ImMunoGeneTics/Laboratoire d''ImmunoGenetique Moleculaire-Database | 2026-10-24 12:50:41 | 16 | ||||
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NCBI BioSystems Database Resource Report Resource Website 100+ mentions |
NCBI BioSystems Database (RRID:SCR_004690) | BioSystems | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them. | pathway, disease, gene, protein, small molecule, literature, computation, image, biomarker, drug, structural complex, functional set, biological system, molecule, gold standard, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: NCBI Structure is related to: BioCyc is related to: EcoCyc is related to: MetaCyc is related to: Reactome is related to: Pathway Interaction Database is related to: WikiPathways is related to: Gene Ontology has parent organization: NCBI |
NIH | PMID:19854944 | r3d100011033, biotools:biosystems, nlx_69646 | https://bio.tools/biosystems, https://doi.org/10.17616/R31K80 | SCR_004690 | SciCrunch Registry | BioSystems Database, NCBI BioSystems | 2026-10-24 12:45:15 | 118 | |||||
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RESID Resource Report Resource Website 10+ mentions |
RESID (RRID:SCR_003505) | RESID | data or information resource, database | A comprehensive collection of annotations and structures for protein modifications including amino-terminal, carboxyl-terminal and peptide chain cross-link post-translational modifications. It provides: systematic and alternate names, atomic formulas and masses, enzyme activities generating the modifications, keywords, literature citations, Gene Ontology cross-references, Protein Information Resource (PIR) and SWISS-PROT protein sequence database feature table annotations, structure diagrams and molecular models. Each RESID Database entry presents a chemically unique modification and shows how that modification is currently annotated in the protein sequence databases, Swiss-Prot and the Protein Information Resource (PIR). The RESID Database provides a table of corresponding equivalent feature annotations that is used in the UniProt project, an international effort to combine the resources of the Swiss-Prot, TrEMBL and PIR. As an annotation tool, the RESID Database is used in standardizing and enhancing modification descriptions in the feature tables of Swiss-Prot entries. | protein cross-link, protein modification, protein structure, protein, structure, annotation, amino-terminal, carboxyl-terminal, peptide chain cross-link, post-translational modification, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian |
PMID:15174122 PMID:12520062 |
nif-0000-03400, r3d100000023, biotools:resid | https://bio.tools/resid, https://doi.org/10.17616/R3Z59M | http://www.ebi.ac.uk/RESID/ | SCR_003505 | SciCrunch Registry | RESID Database at the EBI, RESID Database at PIR, RESID Database of Protein Modifications, RESID Database | 2026-10-24 12:50:27 | 10 | |||||
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SGD Resource Report Resource Website 1000+ mentions |
SGD (RRID:SCR_004694) | SGD, SGD LOCUS, SGD REF | data or information resource, database | A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available. | database, yeast, pathway, analysis, gene, nomenclature, predicted sequence, fungi, functional relationship, protein structure, bio.tools, FASEB list |
uses: InterMOD is used by: NIF Data Federation is used by: PhenoGO is listed by: re3data.org is listed by: OMICtools is listed by: InterMOD is listed by: bio.tools is listed by: Debian is affiliated with: InterMOD is related to: AmiGO is related to: Yeast Search for Transcriptional Regulators And Consensus Tracking is related to: HomoloGene is related to: TXTGate is related to: PhenoGO has parent organization: Stanford University School of Medicine; California; USA has parent organization: Stanford University; Stanford; California is parent organization of: Ascomycete Phenotype Ontology is parent organization of: SGD Gene Ontology Slim Mapper is organization facet of: Alliance of Genome Resources |
NHGRI 5P41HG001315-11; NHGRI 5P41HG002273-05; NHGRI 5U41HG001315-18; NHGRI 2U41HG002273-13; NHGRI 5R01HG004834-04 |
PMID:24265222 PMID:12519985 PMID:9399804 |
Free for academic use, The community can contribute to this resource, Non-commercial | nif-0000-03456, biotools:sgd, r3d100010419, OMICS_01661 | https://bio.tools/sgd, https://doi.org/10.17616/R3N313 | http://genome-www.stanford.edu/Saccharomyces/ | SCR_004694 | SciCrunch Registry | SGD LOCUS, Saccharomyces Genome Database, SGD REF | 2026-10-24 12:50:31 | 1950 | |||
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RamiGO Resource Report Resource Website 10+ mentions |
RamiGO (RRID:SCR_006922) | RamiGO | software resource | Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape. | visualization, analysis, ontology or annotation search engine, ontology or annotation visualization, other analysis, classification, go, graph, network, third party client, windows, mac os x, linux, unix, bio.tools |
is listed by: Gene Ontology Tools is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: Cytoscape is related to: AmiGO has parent organization: Dana-Farber Cancer Institute has parent organization: Bioconductor |
PMID:23297033 | Artistic License, v2 | biotools:ramigo, OMICS_02267, nlx_149331 | http://bioconductor.org/packages/release/bioc/html/RamiGO.html, https://bio.tools/ramigo | SCR_006922 | SciCrunch Registry | ramigo, RamiGO - AmiGO visualize R interface | 2026-10-24 12:45:51 | 12 | |||||
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ToppGene Suite Resource Report Resource Website 1000+ mentions |
ToppGene Suite (RRID:SCR_005726) | analysis service resource, data analysis service, data or information resource, database, portal, production service resource, resource, service resource | ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis. | gene portal, enrichment analysis, functional annotation, gene prioritization, protein interaction, bio.tools, FASEB list |
is listed by: Gene Ontology Tools is listed by: NIDDK Information Network (dkNET) is listed by: GUDMAP Ontology is listed by: Debian is listed by: bio.tools is related to: Gene Ontology is related to: ToppCluster |
State of Ohio Computational Medicine Center ODD TECH 04-042; NIDDK 1U01DK70219; NIDDK P30DK078392 |
PMID:19465376 | Free for academic use | nlx_149183, biotools:toppgene_suite | https://bio.tools/toppgene_suite | SCR_005726 | SciCrunch Registry | ToppGene | 2026-10-24 12:45:31 | 1131 | |||||
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topGO Resource Report Resource Website 1000+ mentions |
topGO (RRID:SCR_014798) | software resource, software toolkit | Software package which provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied. | r, go, go graph, local similarities, software tool, software package, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite works with: Gene Ontology is hosted by: Bioconductor |
Available for download | biotools:topgo | https://bio.tools/topgo | SCR_014798 | SciCrunch Registry | 2026-10-24 12:51:45 | 3080 | ||||||||
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Genome Database for Rosaceae Resource Report Resource Website 500+ mentions |
Genome Database for Rosaceae (RRID:SCR_012756) | data or information resource, database | GDR is a curated and integrated web-based relational database. GDR contains comprehensive data of the genetically anchored peach physical map, annotated EST databases of apple, peach, almond, cherry, rose, raspberry and strawberry, Rosaceae maps and markers and all publicly available Rosaceae sequences. Annotations of ESTs include contig assembly, putative function, simple sequence repeats, ORFs, Gene Ontology and anchored position to the peach physical map where applicable. Our integrated map viewer provides graphical interface to the genetic, transcriptome and physical mapping information. We continue to add Rosaceae map data to CMap, a web-based tool that allows users to view comparisons of genetic and physical maps. ESTs, BACs and markers can be queried by various categories and the search result sites are linked to the integrated map viewer or to the WebFPC physical map sites. In addition to browsing and querying the database, users can compare their sequences with the annotated GDR sequences via a dedicated sequence similarity server running either the BLAST or FASTA algorithm, search their sequences for microsatellites using the SSR server or assemble their ESTs using the CAP3 Server. | est, genome sequence, rosaceae, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: Washington State University; Washington; USA |
nif-0000-02896, biotools:gdr | https://bio.tools/gdr | http://www.bioinfo.wsu.edu/gdr/ | SCR_012756 | SciCrunch Registry | GDR | 2026-10-24 12:51:03 | 662 |
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