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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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CoIN Resource Report Resource Website 100+ mentions |
CoIN (RRID:SCR_005332) | CoIN | service resource | A web-based system that assess articles according to their term correlations among sentences. It employs the co-occurrence relations and their network centralities to evaluate the influence of biomedical terms from Comparative Toxicogenomics Database (CTD)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, disease, chemical, biomedical, association, document triage, database, FASEB list |
is listed by: OMICtools has parent organization: National Cheng Kung University; Tainan; Taiwan |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01177 | SCR_005332 | Co-occurrence Interaction Nexus, CoIN: A network exploration for document triage, CoIN: Co-occurrence Interaction Nexus | 2026-08-01 12:02:58 | 138 | |||||||
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Manatee Resource Report Resource Website 50+ mentions |
Manatee (RRID:SCR_005685) | Manatee | software resource | Manatee is a web-based gene evaluation and genome annotation tool; Manatee can store and view annotation for prokaryotic and eukaryotic genomes. The Manatee interface allows biologists to quickly identify genes and make high quality functional assignments, such as GO classifications, using search data, paralogous families, and annotation suggestions generated from automated analysis. Manatee can be downloaded and installed to run under the CGI area of a web server, such as Apache. Platform: Online tool, Linux compatible, Solaris | gene, genome, annotation, ontology or annotation browser, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: J. Craig Venter Institute has parent organization: University of Maryland School of Medicine; Maryland; USA has parent organization: SourceForge |
Open unspecified license - Free for academic use | nlx_149128 | SCR_005685 | 2026-08-01 12:02:56 | 64 | ||||||||
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tranSMART Resource Report Resource Website 10+ mentions |
tranSMART (RRID:SCR_005586) | tranSMART | software resource | tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work. tranSMART is licensed through GPL 3. The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART''s specific applications include: * Revalidating previous hypotheses * Testing and refining novel hypotheses * Conducting cross-study meta-analysis * Searching across multiple data sources to find associations of concepts, such as a gene''s involvement in biological processes or experimental results * Comparing biological processes and pathways among multiple data sets from related diseases or even across multiple therapeutic areas Data Repository The tranSMART Data Repository combines a data warehouse with access to federated sources of open and commercial databases. tranSMART accommodates: * Phenotypic data, such as demographics, clinical observations, clinical trial outcomes, and adverse events * High content biomarker data, such as gene expression, genotyping, pharmacokinetic and pharmaco-dynamics markers, metabolomics data, and proteomics data * Unstructured text-data, such as published journal articles, conference abstracts and proceedings, and internal studies and white papers * Reference data from sources such as MeSH, UMLS, Entrez, GeneGo, Ingenuity, etc. * Metadata providing context about datasets, allowing users to assess the relevance of results delivered by tranSMART Data in tranSMART is aligned to allow identification and analysis of associations between phenotypic and biomarker data, and it is normalized to conform with CDISC and other standards to facilitate search and analysis across different data sources. tranSMART also enables investigators to search published literature and other text sources to evaluate their analysis in the context of the broader universe of reported research. External data can also be integrated into the tranSMART data repository, either from open data projects like GEO, EBI Array Express, GCOD, or GO, or from commercially available data sources. Making data accessible in tranSMART enables organizations to leverage investments in manual curation, development costs of automated ETL tools, or commercial subscription fees across multiple research groups. Dataset Explorer tranSMART''s Dataset Explorer provides flexible, powerful search and analysis capabilities. The core of the Dataset Explorer integrates and extends the open source i2b2 application, Lucene text indexing, and GenePattern analytical tools. Connections to other open source and commercial analytical tools such as Galaxy, Integrative Genomics Viewer, Plink, Pathway Studio, GeneGo, Spotfire, R, and SAS can be established to expand tranSMART''s capabilities. tranSMART''s design allows organizations flexibility in selecting analytical tools accessible through the Dataset Explorer, and provides file export capabilities to enable researchers to use tools not accessible in the tranSMART portal. | source code, genetic, phenotype, gene, data storage repository, data analysis service |
is used by: eTRIKS is used by: RanchoBiosciences |
nlx_146211 | http://www.transmartproject.org/ | SCR_005586 | 2026-08-01 12:03:00 | 13 | ||||||||
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JEPETTO Resource Report Resource Website 10+ mentions |
JEPETTO (RRID:SCR_005909) | JEPETTO | software resource | A Cytoscape plugin that performs integrated gene set analysis using information from interaction, pathways and processes databases. The plugin integrates information from three separate web servers specializing in enrichment analysis, pathways expansion and topological matching. It uses the TopoGSA server to identify topological analogies between the user selected gene set and the known pathways and processes. TopoGSA finds the most similar biological mechanism using the topological features of the interaction network of a user selected gene set. It is also able to suggest genes related to the query gene set using two pathway analysis servers EnrichNet and PathExpand. Both these servers are using a different topological matching algorithms that extends the query gene set with genes from the pathway databases. This integration substantially simplifies the analysis of user gene sets and the interpretation of the results. | gene set enrichment analysis, topological analysis, interaction network, java, enrichment analysis, functional analysis, gene prioritization, integrated analysis, network analysis, interaction, pathway, process, topology, gene |
is listed by: OMICtools has parent organization: Cytoscape has parent organization: Newcastle University; Newcastle upon Tyne; United Kingdom |
PMID:24363376 | GNU General Public License | OMICS_02247 | SCR_005909 | Java Enrichment of Pathways Extended To Topology | 2026-08-01 12:03:00 | 15 | ||||||
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Cascade Resource Report Resource Website 50+ mentions |
Cascade (RRID:SCR_005861) | Cascade | software resource | R software package to study, predict and simulate the diffusion of a signal through a temporal gene network. It predicts changes in gene expressions after a biological perturbation in the network and provides graphical outputs that allow monitoring the spread of a signal through the network., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | r, windows, gene expression, perturbation, network, diffusion, signal, temporal gene network, gene regulatory network, gene, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Strasbourg; Strasbourg; France |
PMID:24307703 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_02249, biotools:cascade | http://www-math.u-strasbg.fr/genpred/spip.php?rubrique4, https://bio.tools/cascade | SCR_005861 | 2026-08-01 12:03:00 | 92 | ||||||
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BiNGO: A Biological Networks Gene Ontology tool Resource Report Resource Website 500+ mentions |
BiNGO: A Biological Networks Gene Ontology tool (RRID:SCR_005736) | BiNGO | software resource | The Biological Networks Gene Ontology tool (BiNGO) is an open-source Java tool to determine which Gene Ontology (GO) terms are significantly overrepresented in a set of genes. BiNGO can be used either on a list of genes, pasted as text, or interactively on subgraphs of biological networks visualized in Cytoscape. BiNGO maps the predominant functional themes of the tested gene set on the GO hierarchy, and takes advantage of Cytoscape''''s versatile visualization environment to produce an intuitive and customizable visual representation of the results. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene ontology, gene, ontology, statistical analysis, term enrichment, biological network, plugin, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology is related to: Cytoscape has parent organization: Ghent University; Ghent; Belgium |
PMID:15972284 | Open unspecified license - Free for academic use | nlx_149196, biotools:bingo | https://bio.tools/bingo | SCR_005736 | Biological Networks Gene Ontology | 2026-08-01 12:02:58 | 790 | |||||
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DynGO Resource Report Resource Website 1+ mentions |
DynGO (RRID:SCR_007009) | DynGO | software resource | DynGO is a client-server application that provides several advanced functionalities in addition to the standard browsing capability. DynGO allows users to conduct batch retrieval of GO annotations for a list of genes and gene products, and semantic retrieval of genes and gene products sharing similar GO annotations (which requires more disk and memory to handle the semantic retrieval). The result are shown in an association tree organized according to GO hierarchies and supported with many dynamic display options such as sorting tree nodes or changing orientation of the tree. For GO curators and frequent GO users, DynGO provides fast and convenient access to GO annotation data. DynGO is generally applicable to any data set where the records are annotated with GO terms, as illustrated by two examples. Requirements: Java Platform: Windows compatible, Linux compatible, Unix compatible | gene, annotation, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
NSF IIS-0430743 | PMID:16091147 | Free for academic use | nlx_149118 | http://gauss.dbb.georgetown.edu/liblab | SCR_007009 | DynGO: a tool for visualizing and mining of Gene Ontology and its associations | 2026-08-01 12:03:16 | 6 | ||||
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Tk-GO Resource Report Resource Website |
Tk-GO (RRID:SCR_008855) | TkGO | software resource | Tk-GO is a GUI wrapping the basic functions of the GO AppHandle library from BDGP. GO terms are presented in an explorer-like browser, and behavior can be configured by altering Perl scripts. All available documentation is included in the download. Tk-GO uses the GO database (connects directly to the BDGP database by default) but is user-configurable. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | browser, gene, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Illumina |
MIT License - Free for academic use | nlx_149133 | SCR_008855 | 2026-08-01 12:03:38 | 0 | ||||||||
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Spotfire Resource Report Resource Website 100+ mentions |
Spotfire (RRID:SCR_008858) | Spotfire | software resource | The Spotfire Gene Ontology Advantage Application integrates GO annotations with gene expression analysis in Spotfire DecisionSite for Functional Genomics. Researchers can select a subset of genes in DecisionSite visualizations and display their distribution in the Gene Ontology hierarchy. Similarly, selection of any process, function or cellular location in the Gene Ontology hierarchy automatically marks the corresponding genes in DecisionSite visualizations. Platform: Windows compatible | analysis, predictive analytics, big data, visualization, gene ontology, annotation, gene expression, functional genomics, gene, function, cellular location, statistical analysis, genomics |
is listed by: Gene Ontology Tools is listed by: Metabolomics Workbench is related to: Gene Ontology |
Commercial license. Spotfire is available for purchase (individual license / enterprise use) / Free trial. | nlx_149169 | SCR_008858 | Tibco Spotfire, Spotfire Inc., Spotfire Gene Ontology Advantage Application, Spotfire - TIBCO Software | 2026-08-01 12:03:39 | 474 | |||||||
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caGWAS Resource Report Resource Website |
caGWAS (RRID:SCR_009617) | caGWAS | software resource | Too that allows researchers to integrate, query, report, and analyze significant associations between genetic variations and disease, drug response or other clinical outcomes. SNP array technologies make it possible to genotype hundreds of thousands of single nucleotide polymorphisms (SNPs) simultaneously, enabling whole genome association studies. Within the Clinical Genomic Object Model (CGOM), the caIntegrator team created a domain model for Whole Genome Association Study Analysis. CGOM-caGWAS is a A semantically annotated domain model that captures associations between Study, Study Participant, Disease, SNP Association Analysis, SNP Population Frequency and SNP annotations. caGWAS APIs and web portal provide: * a semantically annotated domain model, database schema with sample data, seasoned middleware, APIs, and web portal for GWAS data; * platform and disease agnostic CGOM-caGWAS model and associated APIs; * the opportunity for developers to customize the look and feel of their GWAS portal; * a foundation of open source technologies; * a well-tested and performance-enhanced platform, as the same software is being used to house the CGEMS data portal; * accelerated analysis of results from various biomedical studies; and * a single application through which researchers and bioinformaticians can access and analyze clinical and experimental data from a variety of data types, as caGWAS objects are part of the CGOM, which includes microarray, genomic, immunohistochemistry, imaging, and clinical data. | application, computational neuroscience, genetic association, genomic analysis, imaging genomics, java, snp, gene, software, web environment, microarray, genomic, immunohistochemistry, imaging, clinical |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: National Cancer Institute |
BSD License | nlx_155841 | http://www.nitrc.org/projects/cagwas | SCR_009617 | caGWAS (Cancer Genome-Wide Association Studies), Cancer Genome-Wide Association Studies, CGOM-caGWAS | 2026-08-01 12:04:03 | 0 | ||||||
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Illumina Resource Report Resource Website 1000+ mentions |
Illumina (RRID:SCR_010233) | Illumina, Inc. | commercial organization | American company incorporated that develops, manufactures and markets integrated systems for the analysis of genetic variation and biological function. Provides a line of products and services that serve the sequencing, genotyping and gene expression and proteomics markets. Its headquarters are located in San Diego, California. | Commercial, organization, develope, manufacture, system, analysis, genetic, sequencing, genotyping, gene, expression, proteomic |
is related to: fermi-lite is related to: Illumina: NextSeq 2000 system is parent organization of: Strelka2 is parent organization of: Tk-GO is parent organization of: BaseSpace is parent organization of: Illumina: iSeq 100 Sequencing System |
nlx_156846, grid.185669.5, Wikidata: Q2068984, ISNI: 0000 0004 0507 3954 | https://ror.org/05k34t975 | SCR_010233 | Inc., Illumina | 2026-08-01 12:03:47 | 2340 | |||||||
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rbsurv Resource Report Resource Website 1+ mentions |
rbsurv (RRID:SCR_001175) | rbsurv | software resource | Software package that selects genes associated with survival. | microarray, gene, survival, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
Free, Available for download, Freely available | biotools:rbsurv, BioTools:rbsurv, OMICS_02088 | https://bio.tools/rbsurv, https://bio.tools/rbsurv, https://bio.tools/rbsurv | SCR_001175 | rbsurv - Robust likelihood-based survival modeling with microarray data | 2026-08-01 12:01:24 | 1 | ||||||
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Sherlock Resource Report Resource Website 50+ mentions |
Sherlock (RRID:SCR_001628) | Sherlock | data or information resource, service resource | Service to discover disease genes in GWAS using eQTL signature matching by simply submitting your list of GWAS associations (SNPs and p-values). It is important to upload all SNPs in your association study, not just the top hits. Sherlock may be able to group multiple lower-confidence SNPs to discover functionally-important genes. | genome-wide association study, expression quantitative trait locus, disease gene, snp, gene expression, gene, disease, association, p-value, cis, trans, genetic variation, mapping, phenotype, FASEB list | has parent organization: University of California at San Francisco; California; USA | NIGMS R01GM070808; NIGMS U19GM61390; NIGMS P50 GM081879 |
PMID:23643380 | Free, Freely available | nlx_153895 | SCR_001628 | 2026-08-01 12:01:57 | 86 | ||||||
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rSeqDiff Resource Report Resource Website |
rSeqDiff (RRID:SCR_001683) | rSeqDiff | software resource | An R package that can detect differential gene and isoform expressions from RNA-seq data of multiple biological conditions. The approach considers three cases for each gene: 1) no differential expression, 2) differential expression without differential splicing and 3) differential splicing. | rna-seq, gene expression, differential expression, differential splicing, gene |
is listed by: OMICtools has parent organization: University of Michigan; Ann Arbor; USA |
PMID:24260225 | Free, Available for download, Freely available | OMICS_01968 | SCR_001683 | rSeqDiff: Detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test | 2026-08-01 12:01:47 | 0 | ||||||
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QuasiSeq Resource Report Resource Website 10+ mentions |
QuasiSeq (RRID:SCR_001715) | QuasiSeq | software resource | Software package to apply the QL, QLShrink and QLSpline methods to quasi-Poisson or quasi-negative binomial models for identifying differentially expressed genes in RNA-seq data. | differential expression, gene, rna-seq, next generation sequencing, gene expression, mrna | is listed by: OMICtools | PMID:23104842 | Free, Available for download, Freely available | OMICS_01963 | http://cran.r-project.org/web/packages/QuasiSeq/index.html | SCR_001715 | 2026-08-01 12:01:48 | 20 | ||||||
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International Neuroinformatics Coordinating Facility: Blue Gene/L Access Resource Report Resource Website |
International Neuroinformatics Coordinating Facility: Blue Gene/L Access (RRID:SCR_001755) | data computation service | Through this site, INCF provides he neuroinformatics community with access to an IBM Blue Gene/L supercomputer. INCF owns a share of a BlueGene/L (BG/L) supercomputer located at the Parallel Computer Center (PDC) at The Royal Institute of Technology (KTH) in Stockholm. Allocations are now available through the INCF Secretariat. During an initial evaluation phase, a limited numbers of large-scale computing projects will be selected, based on the suitability of the project for supercomputing. Research groups with limited access to supercomputers at their home institutions are given priority. Approved projects are regularly re-evaluated. New projects are approved based on availability and usage load of the BG/L. The Blue Gene/L supercomputer project is aimed at expanding the horizon of high-performance computing to unprecedented levels of scale and performance. Blue Gene/L is the first supercomputer in the Blue Gene family. The full Blue Gene/L consists of 64 racks containing 65,536 high-performance compute nodes. Each node (nodes and chips are the same in the Blue Gene system) contains two embedded 32-bit PowerPC processors. Furthermore, the same chip that is used for compute nodes is also used for the 1,024 I/O nodes. A three-dimensional torus network and a collective network are used to interconnect all nodes. The full system contains 33 terabytes of main memory; it is designed to achieve 183.5 teraflops peak performance using one of the processors of each node for computation and the other processor for communication, and 367 teraflops using both processors for computation. Another key architectural feature of this supercomputer is the link chip component and five Blue Gene/L networks, the PowerPC 440 core and floating-point enhancements, the on-chip and off-chip distributed memory system, the node- and system-level design for high reliability, and the comprehensive approach to fault isolation. One of the key objectives in Blue Gene/L design is to achieve cost/performance comparable to the COTS (Commodity Off The Shelf) approach, while at the same time incorporating a processor and network combination so powerful that it revolutionizes the performance of supercomputer systems. Sponsors: This resource is supported by the INCF. | gene, chip, computation, computing project, memory, neuroinformatics, node, parallel computer, processor, supercomputer | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10263 | SCR_001755 | INCF Blue Gene/L Access | 2026-08-01 12:01:49 | 0 | |||||||||
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MetaDrug Resource Report Resource Website 1+ mentions |
MetaDrug (RRID:SCR_000461) | MetaDrug | commercial organization | A leading systems pharmacology solution that incorporates extensive manually curated information on biological effects of small molecule compounds. Predictive and analytical algorithms look at chemical compounds from different angles in one integrated workflow are available for: * Individual previously described compounds to look up their known information and predict currently unknown properties * Individual newly synthesized or isolated compounds to predict their properties from its structures * Compound libraries to extract known and predict new properties of individual compounds and perform their comparison and prioritization | pharmacology, compound, pathway, target, metabolite, prediction, toxicity, indication, metabolism, gene, protein, analysis, drug effect | is listed by: OMICtools | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01584 | SCR_000461 | 2026-08-01 12:01:21 | 1 | ||||||||
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Functional Biosciences Resource Report Resource Website 1+ mentions |
Functional Biosciences (RRID:SCR_000943) | service resource | A service that provides low cost DNA sequencing. They utilize microfluidic technology. | dna, sequencing, sequence, gene, genome, microfluidic, technology | is listed by: ScienceExchange | SciEx_9422 | http://www.scienceexchange.com/facilities/functional-biosciences-inc | SCR_000943 | Functional Biosciences Inc. | 2026-08-01 12:01:33 | 2 | ||||||||
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GISTIC Resource Report Resource Website 10+ mentions |
GISTIC (RRID:SCR_000151) | GISTIC | software resource | Software to identify genes targeted by somatic copy-number alterations (SCNAs) that drive cancer growth. By separating SCNA profiles into underlying arm-level and focal alterations, they improve the estimation of background rates for each category. | somatic copy-number alteration, gene |
is listed by: OMICtools has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; |
Cancer | PMID:21527027 | Free, Available for download, Freely available | OMICS_02296 | SCR_000151 | GISTIC2.0, GISTIC 2.0, GISTIC 2 | 2026-08-01 12:01:10 | 48 | |||||
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FCROS Resource Report Resource Website 1+ mentions |
FCROS (RRID:SCR_006195) | FCROS | software resource | A fold change ranks ordering statistics based software for detecting differentially expressed genes. | differentially expressed, gene, fold, statistics, windows, os x, microarray | is listed by: OMICtools | PMID:24423217 | GNU General Public License, v2, v3 | OMICS_02234 | SCR_006195 | fold change rank ordering statistics, fcros: FCROS for detecting differentially expressed genes | 2026-08-01 12:03:05 | 5 |
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