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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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T3DB Resource Report Resource Website 10+ mentions |
T3DB (RRID:SCR_002672) | T3DB | data or information resource, database | Database that combines detailed toxin data with comprehensive toxin target information. The database currently houses 3,053 toxins described by 32,276 synonyms, including pollutants, pesticides, drugs, and food toxins, which are linked to 1,670 corresponding toxin target records. Altogether there are 37,084 toxin, toxin target associations. (March 2014) Each toxin record (ToxCard) contains over 50 data fields and holds information such as chemical properties and descriptors, toxicity values, molecular and cellular interactions, and medical information. This information has been extracted from over 5,454 sources sources, which include other databases, government documents, books, and scientific literature. The focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. This dual nature of the T3DB, in which toxin and toxin target records are interactively linked in both directions, makes it unique from existing databases. It is also fully searchable and supports extensive text, sequence, chemical structure, and relational query searches | toxicology, toxin, pollutant, pesticide, drug, food, gene-drug, interaction, gene, phenotype, mechanism, bio.tools |
is used by: NIF Data Federation is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: FMA has parent organization: University of Alberta; Alberta; Canada |
Alberta Advanced Education and Technology ; Canadian Institutes of Health Research ; Genome Alberta ; Genome Canada |
PMID:19897546 | Free, Available for download, Freely available | r3d100012189, nif-0000-22933, biotools:t3db, OMICS_01592 | https://bio.tools/t3db, https://doi.org/10.17616/R3VM0R | SCR_002672 | Toxin-Target Database, Toxin Toxin-Target Database, Toxin and Toxin Target Database, Toxin, Toxin Toxin Target Database | 2026-09-12 01:01:26 | 27 | ||||
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Database of Transcribed Sequences Resource Report Resource Website 10+ mentions |
Database of Transcribed Sequences (RRID:SCR_002334) | data or information resource, database | DoTS (Database Of Transcribed Sequences) is a human and mouse transcript index created from all publicly available transcript sequences. The input sequences are clustered and assembled to form the DoTS Consensus Transcripts that comprise the index. These transcripts are assigned stable identifiers of the form DT.123456 (and are often referred to as dots). The transcripts are in turn clustered to form putative DoTS Genes. These are assigned stable identifiers of the form DG.1234356. As of September 1, 2004, the DoTS annotation team has manually annotated 43,164 human and 78,054 mouse DoTS Transcripts (DTs), corresponding to 3,939 human and 7,752 mouse DoTS Genes (DGs). Use the manually annotated gene query to see the DoTS Transcripts that have been manually annotated. The focus of the DoTS project is integrating the various types of data (e.g., EST sequences, genomic sequence, expression data, functional annotation) in a structured manner which facilitates sophisticated queries that are otherwise not easy to perform. DoTS is built on the GUS Platform which includes a relational database that uses controlled vocabularies and ontologies to ensure that biologically meaningful queries can be posed in a uniform fashion. An easy way to start using the site is to search for DoTS Transcripts using an existing cDNA or mRNA sequence. Click on the BLAST tab at the top of the page and enter your sequence in the form provided. All the transcripts with significant sequence similarity to your query sequence will be displayed. Or use one of the provided queries to retrieve transcripts using a number of criteria. These queries are listed on the query page, which can also be reached by clicking on the tab marked query at the top of the page. Finally, the boolean query page allows these queries to be combined in a variety of ways. Sponsors: Funding provided by -NIH grant RO1-HG-01539-03 -DOE grant DE-FG02-00ER62893 | expression, functional, gene, annotation, biological, cdna, genomic, human, index, model organisms and comparative genomics databases, mouse, mrna, sequence, structure, transcribed, transcript | has parent organization: University of Pennsylvania; Philadelphia; USA | nif-0000-21125 | SCR_002334 | DoTs | 2026-09-12 01:01:25 | 15 | |||||||||
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LINCS Connectivity Map Resource Report Resource Website 500+ mentions |
LINCS Connectivity Map (RRID:SCR_002639) | CMap | data or information resource, database | A catalog of gene-expression data collected from human cells treated with chemical compounds and genetic reagents. Computational methods to reduce the number of necessary genomic measurements along with streamlined methodologies enable the current effort to significantly increase the size of the CMap database and along with it, our potential to connect human diseases with the genes that underlie them and the drugs that treat them. The NIH has funded a large expansion of the Connectivity Map dataset through the Library of Integrated Network-based Cellular Signatures (LINCS). The Broad Institute's LINCS center aims to create a first installment of data generation and analysis for the LINCS program. Through these data LINCS intends to accelerate the discovery process by systematically revealing connections between genes/compounds discovered in screens and molecular pathways that underlie disease states. | functional genomics, gene, cell, gene expression, compound, molecule, pathway, disease, perturbagen, gene expression profile, genetic, cellular, chemical reagent, FASEB list |
has parent organization: Broad Institute has parent organization: HMS LINCS Database |
NIH Common Fund | PMID:28069634 | Free, Freely available | nlx_156066 | SCR_002639 | Connectivity Map | 2026-09-12 01:01:26 | 650 | |||||
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Entrez Gene Resource Report Resource Website 1000+ mentions |
Entrez Gene (RRID:SCR_002473) | NCBI_Gene, NCBI Genen NCBI Entrez | data or information resource, database | Database for genomes that have been completely sequenced, have active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. Includes nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases. All entries follow NCBI's format for data collections. Content of Entrez Gene represents result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. Content is updated as new information becomes available. | gene, gene expression, gene location, gene map, gene prediction, genome, genome sequence analysis, phenotype, nomenclature, gene mapping, protein, genetic code, function, annotation, gold standard, bio.tools |
is used by: Animal QTLdb is used by: NIF Data Federation is used by: LIPID MAPS Proteome Database is used by: DisGeNET is used by: Nowomics is used by: Cytokine Registry is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is used by: Vesiclepedia is listed by: OMICtools is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Rat Gene Symbol Tracker is related to: Gene Reference into Function is related to: Integrated Molecular Interaction Database is related to: Biomine is related to: SEGS is related to: STOP is related to: Coremine Medical is related to: Consensus CDS is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit is related to: Array Information Library Universal Navigator is related to: biomaRt has parent organization: NCBI works with: Open Regulatory Annotation Database |
PMID:17148475 PMID:21115458 |
Free, Freely available | nif-0000-02801, biotools:entrez_gene, OMICS_01651, r3d100010650 | http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene, http://www.ncbi.nlm.nih.gov/sites/entrez?db=gene, https://bio.tools/entrez_gene, https://doi.org/10.17616/R3603S | SCR_002473 | NCBI Gene, Gene - Gene mapped phenotypes, Gene - Gene and mapped phenotypes, Gene Database, GeneID | 2026-09-12 01:01:26 | 2912 | |||||
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GeneSeer Resource Report Resource Website |
GeneSeer (RRID:SCR_002626) | GeneSeer | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 14,2026. Database to access gene information through common names and allows identification of homologs and paralogs for a given gene. This publicly available tool leverages public sequence data, gene metadata information, and other publicly available data to calculate and display orthologous and paralogous gene relationships for all genes from several species, including yeasts, insects, worms, vertebrates, mammals, and primates such as humans. | gene, homolog, paralog, genome, search engine, ortholog | PMID:16176584 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156048 | http://katahdin.mssm.edu/geneseer/scripts/main.pl | http://geneseer.cshl.org/ | SCR_002626 | 2026-09-12 01:01:26 | 0 | ||||||
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MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation Resource Report Resource Website 10+ mentions |
MAPPER - Multi-genome Analysis of Positions and Patterns of Elements of Regulation (RRID:SCR_003077) | MAPPER, MAPPER 2, | data or information resource, database, service resource | A platform composed of three modules: the Database, the Search Engine, and rSNPs, for the computational identification of transcription factor binding sites (TFBSs) in multiple genomes, that combines TRANSFAC and JASPAR data with the search power of profile hidden Markov models (HMMs). The Database contains putative TFBSs found in the upstream sequences of genes from the human, mouse and D.melanogaster genomes. For each gene, they scanned the region from 10,000 base pairs upstream of the transcript start to 50 base pairs downstream of the coding sequence start against all their models. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs. The Search Engine allows the identification, visualization and selection of putative TFBSs occurring in the promoter or other regions of a gene from the human, mouse, D.melanogaster, C.elegans or S.cerevisiae genomes. In addition, it allows the user to upload a sequence to query and to build a model by supplying a multiple sequence alignment of binding sites for a transcription factor of interest. rSNPs MAPPER is designed to identify Single Nucleotide Polymorphisms (SNPs) that may have an effect on the presence of one or more TFBSs. | transcription factor binding site, gene promoter, intron, non-coding exon, transcription factor, chromosome, gene, homolog, rsnp, single nucleotide polymorphism, search engine |
is listed by: OMICtools has parent organization: University of Florida; Florida; USA is parent organization of: rSNPs MAPPER |
PMID:15608292 PMID:15799782 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01877, nif-0000-03101 | http://bio.chip.org/mapper | SCR_003077 | Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER 2 - Multi-genome Analysis of Positions and Patterns of Elements of Regulation, MAPPER database | 2026-09-12 01:01:27 | 11 | |||||
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Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome Resource Report Resource Website |
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) | HEFalMp | data or information resource, database, service resource | HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool. | human, map, gene, functional, pathway, disease, genomic, analysis, microarray, dna, protein, sequence | has parent organization: Princeton University; New Jersey; USA | New Jersey Commission on Cancer Research ; PhRMA Foundation 2007RSGl9572; NIGMS R01 GM071966; NSF DBI-0546275; NSF IIS-0513552; NHGRI T32 HG003284; NIGMS P50 GM071508 |
PMID:19246570 | nif-0000-37186 | SCR_003506 | Human Experimental / FunctionAL MaPper, Human Experimental/FunctionAL MaPper | 2026-09-12 01:01:29 | 0 | ||||||
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GeneFisher Resource Report Resource Website 10+ mentions |
GeneFisher (RRID:SCR_003060) | GeneFisher, GeneFisher2 | analysis service resource, data analysis service, production service resource, service resource | A web-based program for designing degenerate primers. The procedure leads to isolation of genes in a target organism using multiple alignments of related genes from different organisms. The term gene fishing refers to the technique where PCR is used to isolate a postulated but unknown target sequence from a pool of DNA. | primer design, gene, degenerate primer, degenerate, primer, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bielefeld University; North Rhine-Westphalia; Germany |
PMID:8877506 | Free, Freely available | biotools:genefisher, OMICS_02341 | https://bio.tools/genefisher | SCR_003060 | GeneFisher2 - Interactive PCR Primer Design | 2026-09-12 01:01:27 | 39 | |||||
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SynSysNet Resource Report Resource Website 1+ mentions |
SynSysNet (RRID:SCR_003180) | SynSysNet | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. A curated database for synaptic proteins that provides adequate definitions of pre- and post-synaptic proteins, proteins present in sub-domains of the synapse, e.g. the synaptic vesicle and associated proteins, lipid rafts and postsynaptic density. In addition to data that was and will be gathered from the experiments conducted within SynSys - A European expertise Network on building the synapse, they have extracted and manually curated all relevant data on these proteins from other sources and provided an ontology for these. Novel splice forms are being identified that can be matched with proteomics data. Information on proteins, their 3D structure, binding small molecules Protein-Protein-Interactions (PPIs) and Compound-Protein-Interactions are integrated. Proteins or compounds can be searched and Interactive Networks can be visualized. The point Diseases present neurological diseases, to illustrate the role of SynSysNet in the medication. | gene, synapse, protein, interaction, compound, disease, structure, model, compound, protein-drug interaction, protein-protein interaction, pathway, drug-target, small molecule, interaction network, homology, drug, drug-target interaction, compound-protein interaction, visualization, proteomics, network |
is listed by: OMICtools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: KEGG has parent organization: Charite - Universitatsmedizin Berlin; Berlin; Germany |
Huntington's disease, Chorea Huntington, Epilepsy, Multiple Sclerosis, Parkinson's disease, Schizophrenia, Neurological disease | European Union Seventh FPSYNSYS 242167; DFG GRK1772; DFG GRK1360 |
PMID:23143269 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156893, OMICS_01914 | SCR_003180 | SynSysNet - Synaptic Proteins Database | 2026-09-12 01:01:28 | 3 | ||||
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LIPID MAPS Proteome Database Resource Report Resource Website 1+ mentions |
LIPID MAPS Proteome Database (RRID:SCR_003062) | LMPD | data or information resource, database | Database of lipid related proteins representing human and mouse proteins involved in lipid metabolism. Collection of lipid related genes and proteins contains data for genes and proteins from Homo sapiens, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae, Caenorhabditis elegans, Escherichia coli, Macaca mulata, Drosophila melanogaster, Arabidopsis thaliana and Danio rerio. | gene, protein, lipid, metabolism, metabolomics |
uses: Gene Ontology uses: KEGG uses: UniProt uses: Entrez Gene uses: ENZYME has parent organization: LIPID Metabolites And Pathways Strategy |
NIGMS | PMID:16381922 | Free, Freely available | nif-0000-03085 | http://www.lipidmaps.org/data/proteome/index.cgi | SCR_003062 | LIPID MAPS Proteome Database (LMPD) | 2026-09-12 01:01:27 | 3 | ||||
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IPD - Immuno Polymorphism Database Resource Report Resource Website 10+ mentions |
IPD - Immuno Polymorphism Database (RRID:SCR_003004) | IPD | data or information resource, database | A set of specialist databases related to the study of polymorphic genes in the immune system. The IPD project works with specialist groups or nomenclature committees who provide and curate individual sections before they are submitted to IPD for online publication. The IPD project stores all the data in a set of related databases. IPD currently consists of four databases: * IPD-KIR, contains the allelic sequences of Killer-cell Immunoglobulin-like Receptors, * IPD-MHC, is a database of sequences of the Major Histocompatibility Complex of different species; * IPD-human platelet antigens, alloantigens expressed only on platelets and * IPD-ESTDAB, which provides access to the European Searchable Tumour cell-line database, a cell bank of immunologically characterized melanoma cell lines. | polymorphic gene, immune system, gene, gold standard, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: European Bioinformatics Institute |
European Union contract QLRI-CT-200!-01325; NCI P01 111412 |
PMID:19875415 PMID:18449992 PMID:15608253 |
biotools:ipd, nif-0000-03038, r3d100010797 | https://bio.tools/ipd, https://doi.org/10.17616/R3KK7K | SCR_003004 | IPD-The Immuno Polymorphism Database, IPD - The Immuno Polymorphism Database | 2026-09-12 01:01:27 | 26 | |||||
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Coddle-Codons Optimized to Discover Deleterious LEsions Resource Report Resource Website 10+ mentions |
Coddle-Codons Optimized to Discover Deleterious LEsions (RRID:SCR_003003) | CODDLE | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. Web-accessible program that identifies the region(s) of a user-selected gene and of its coding sequence (CDS) where the anticipated point mutations are most likely to result in deleterious effects on the gene's function. CODDLe separately handles 1) the prediction of changes which should truncate the protein and destabilize the RNA - nonsense changes and splice junction changes, and 2) the prediction of missense changes which should alter function of the gene product - those in conserved amino acid blocks in the CDS. Because the region(s) identified will be PCR amplified by the user and that amplicon will be used for polymorphism discovery, the application delivers primer pairs selected by Primer3 (Steve Rozen, Helen J. Skaletsky (1996,1997,1998)Primer3.) After selecting a primer pair, CODDLe returns a window with the selected amplicon and tabulates the effects of all possible polymorphisms which could be detected in that amplicon. CODDLe will not identify the regions of a gene where polymorphisms are most likely to be discovered. Others have shown that naturally occurring SNPs are found more often in the untranslated regions of a gene. | codon, deleterious lesion, gene, coding, sequence, mutation, primer, protein sequence, cdna, sequence alignment, coding sequence |
is listed by: 3DVC has parent organization: Fred Hutchinson Cancer Center |
DOE ; Office of Energy Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30262 | SCR_003003 | Choosing codons to Optimize Discovery of Deleterious Lesions, Codons Optimized to Discover Deleterious LEsions | 2026-09-12 01:01:27 | 16 | ||||||
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Mammalian Mitochondrial Genomics Database Resource Report Resource Website |
Mammalian Mitochondrial Genomics Database (RRID:SCR_003084) | MamMiBase | data or information resource, database | Database developed to assist the phylogeneticist user in retrieving individual gene sequence alignments for genes in complete mammalian mitochondrial genomes. Data retrieval in MamMiBase requires three stages. At the first stage, the user must select the mammalian species or group that (s)he wishes to study. In the second stage, the user will select the outgroup from a list that included all species selected in the first stage plus Xenopus laevis and Gallus gallus. Finally, at the third stage, the user will select individual mitochondrial gene alignments or a phylogenetic tree that (s)he wishes to download. | phylogeny, mitochondrial, genome, gene, sequence | has parent organization: National Laboratory for Scientific Computing; Rio de Janeiro; Brazil | Brazilian Ministry of Science Technology and Innovation ; National Research Council ; Rio de Janeiro Science Foundation ; FAPERJ |
PMID:15713730 | Free, Freely available | nif-0000-03099 | SCR_003084 | 2026-09-12 01:01:27 | 0 | ||||||
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Type-III-Secretion-System related database Resource Report Resource Website |
Type-III-Secretion-System related database (RRID:SCR_002941) | T3DB | data or information resource, database | Database aimed to annotate all bacterial Type III Secretion System (T3SS) related structure, effector, regulator, and auxiliary genes. | type iii secretion system, gene, protein, ortholog |
is listed by: OMICtools has parent organization: Chinese University of Hong Kong; Hong Kong; China |
PMID:22545727 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_05160 | SCR_002941 | T3SS-related Database | 2026-09-12 01:01:27 | 0 | ||||||
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PPDB: Plant Promoter Database Resource Report Resource Website |
PPDB: Plant Promoter Database (RRID:SCR_003395) | PPDB | data or information resource, database | A plant promoter database that provides information on transcription start sites (TSSs), core promoter structure and regulatory element groups (REGs) as putative and comprehensive transcriptional regulatory elements. Microarray data-based predictions have been appended as REG annotations which inform their putative physiological roles. | gene, transcription start site, promoter structure, promoter, regulatory element group, homolog |
is listed by: OMICtools has parent organization: Gifu University; Gifu; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:24194597 PMID:17947329 |
Free, Available for download, Freely available | nif-0000-03329, OMICS_01874 | http://ppdb.gene.nagoya-u.ac.jp/cgi-bin/index.cgi | SCR_003395 | Plant Promoter Database | 2026-09-12 01:01:28 | 0 | ||||
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Integrated Molecular Interaction Database Resource Report Resource Website 1+ mentions |
Integrated Molecular Interaction Database (RRID:SCR_003546) | IMID | data or information resource, database | Database for molecular interaction information integrated with various other bio-entity information, including pathways, diseases, gene ontology (GO) terms, species and molecular types. The information is obtained from several manually curated databases and automatic extraction from literature. There are protein-protein interaction, gene/protein regulation and protein-small molecule interaction information stored in the database. The interaction information is linked with relevant GO terms, pathway, disease and species names. Interactions are also linked to the PubMed IDs of the corresponding abstracts the interactions were obtained from. Manually curated molecular interaction information was obtained from BioGRID, IntAct, NCBI Gene, and STITCH database. Pathway related information was obtained from KEGG database, Pathway Interaction database and Reactome. Disease information was obtained from PharmGKB and KEGG database. Gene ontology terms and related information was obtained from Gene Ontology database and GOA database. | pathway, disease, gene ontology, specie, interaction, molecular, protein-protein interaction, gene/protein regulation, protein-small molecule interaction, gene, protein, regulation |
is related to: Gene Ontology is related to: Entrez Gene is related to: Pathway Commons is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: IntAct is related to: Search Tool for Interactions of Chemicals is related to: KEGG is related to: Pathway Interaction Database is related to: Reactome is related to: PharmGKB has parent organization: Florida State University; Florida; USA |
PMID:22238258 | nlx_157667 | SCR_003546 | 2026-09-12 01:01:29 | 1 | ||||||||
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Cotton EST Database Resource Report Resource Website 10+ mentions |
Cotton EST Database (RRID:SCR_003301) | Cotton EST Database | data or information resource, database | Database platform for cotton expressed sequence tag (EST)-related information, covering assembled contigs, function annotation, analysis of GO and KEGG, SNP, miRNA, SSR-related marker information. | expressed sequence tag, contig, indel mutant, single nucleotide polymorphism, transcription factor, protein kinase, gene, mirna, blast, est-simple sequence repeat, simple sequence repeat, pathway, function |
is related to: Gene Ontology is related to: KEGG has parent organization: East Carolina University; Carolina; USA |
PMID:22087239 | THIS RESOURCE IS NO LONGER IN SERVICE | r3d100011232 | https://doi.org/10.17616/R3X63C | http://www.leonxie.com/ | SCR_003301 | 2026-09-12 01:01:28 | 10 | |||||
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Babelomics Resource Report Resource Website 100+ mentions |
Babelomics (RRID:SCR_002969) | Babelomics | analysis service resource, data analysis service, production service resource, service resource | An integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling. Version 4 of Babelomics integrates primary (normalization, calls, etc.) and secondary (signatures, predictors, associations, TDTs, clustering, etc.) analysis tools within an environment that allows relating genomic data and/or interpreting them by means of different functional enrichment or gene set methods. Such interpretation is made not only using functional definitions (GO, KEGG, Biocarta, etc.) but also regulatory information (from Transfac, Jaspar, etc.) and other levels of regulation such as miRNA-mediated interference, protein-protein interactions, text-mining module definitions and the possibility of producing de novo annotations through the Blast2GO system . Babelomics has been extensively re-engineered and now it includes the use of web services and Web 2.0 technology features, a new user interface with persistent sessions and a new extended database of gene identifiers. In this release GEPAS and Babelomics have integrated into a unique web application with many new features and improvements: * Data input: import and quality control for the most common microarray formats * Normalization and base calling: for the most common expression, tiling and SNP microarrays (Affymetrix and Agilent). * Transcriptomics: diverse analysis options that include well established as well as novel algorithms for normalization, gene selection, class prediction, clustering and time-series analysis. * Genotyping: stratification analysis, association, TDT. * Functional profiling: functional enrichment and gene set enrichment analysis with functional terms (GO, KEGG, Biocarta, etc.), regulatory (Transfac, Jaspar, miRNAs, etc.), text-mining, derived bioentities, protein-protein interaction analysis. * Integrative analysis: Different variables can be related to each other (e.g. gene expression to gnomic copy number) and the results subjected to functional analysis. Platform: Online tool | platform, analysis, transcriptomics, proteomics, genomics, normalization, clustering, gene, mirna, protein, interaction, text mining, genotyping, bioentity, functional profiling, statistical analysis, functional annotation, regulatory motif, microarray, fatigo, biclustering, networkminer, gepas, gene expression, FASEB list |
is listed by: OMICtools is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG is related to: TRANSFAC is related to: JASPAR has parent organization: CIPF Bioinformatics and Genomics Department |
Spanish Ministry of Science and Innovation BIO2008-04212; Spanish Ministry of Science and Innovation CEN-2008-1002; Red Temtica de Investigacion Cooperativa en Cancer RD06/0020/1019; Instituto de Salud Carlos III |
PMID:20478823 PMID:18515841 PMID:16845052 PMID:14990455 PMID:15980512 PMID:17478504 |
Free for academic use, Account required | OMICS_00748, nif-0000-30144 | http://www.fatigo.org/, http://www.gepas.org/, http://babelomics3.bioinfo.cipf.es | http://www.babelomics.org | SCR_002969 | Babelomics 4: Gene Expression and Functional Profiling Analysis Suite, Babelomics 4 | 2026-09-12 01:01:27 | 138 | |||
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ResponseNet Resource Report Resource Website 1+ mentions |
ResponseNet (RRID:SCR_003176) | ResponseNet | analysis service resource, data analysis service, production service resource, service resource | WebServer that identifies high-probability signaling and regulatory paths that connect input data sets. The input includes two weighted lists of condition-related proteins and genes, such as a set of disease-associated proteins and a set of differentially expressed disease genes, and a molecular interaction network (i.e., interactome). The output is a sparse, high-probability interactome sub-network connecting the two sets that is biased toward signaling pathways. This sub-network exposes additional proteins that are potentially involved in the studied condition and their likely modes of action. Computationally, it is formulated as a minimum-cost flow optimization problem that is solved using linear programming. | interactome, gene, protein, signaling pathway, signaling, regulatory, pathway, regulatory pathway, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Ben-Gurion University of the Negev; Beer-Sheva; Israel |
PMID:23761447 PMID:21576238 |
Free, Freely available | biotools:responsenet, OMICS_01562 | https://bio.tools/responsenet | http://netbio.bgu.ac.il/respnet/ | SCR_003176 | 2026-09-12 01:01:28 | 4 | |||||
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Gene Reference into Function Resource Report Resource Website 10+ mentions |
Gene Reference into Function (RRID:SCR_003436) | GeneRIF | data or information resource, database | A database and annotation tool that provides a simple mechanism to allow scientists to add to the functional annotation of genes described in Gene. To be processed, a valid Gene ID must exist for the specific gene, or the Gene staff must have assigned an overall Gene ID to the species. The latter case is implemented via records in Gene with the symbol NEWENTRY. | functional annotation, gene, function |
is related to: Entrez Gene has parent organization: NCBI |
NIH | PMID:17094227 PMID:23725347 |
Free, Freely available | nlx_157765 | SCR_003436 | GeneRIF: Gene Reference into Function | 2026-09-12 01:01:28 | 14 |
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Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
