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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
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GO-Module Resource Report Resource Website 1+ mentions |
GO-Module (RRID:SCR_005813) | GO-Module | analysis service resource, data analysis service, production service resource, service resource | GO-Module provides an interface to reduce the dimensionality of GO enrichment results and produce interpretable biomodules of significant GO terms organized by hierarchical knowledge that contain only true positive results. Users can download a text file of GO terms annotated with their significance and identified biomodules, a network visualization of resultant GO IDs or terms in PDF format, and view results in an online table. Platform: Online tool | functional similarity, visualization, other analysis, reduce the dimensionality of go enrichment results, produce interpretable biomodules of significant go terms, gene ontology, ontology or annotation visualization, annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: AmiGO has parent organization: University of Illinois at Chicago; Illinois; USA |
NIH ; Cancer Research Foundation ; NLM K22 LM008308; NCI 1U54CA121852; NCRR UL1 RR024999 |
PMID:21421553 | Free for academic use | nlx_149322 | SCR_005813 | SciCrunch Registry | Hierarchical optimization of enriched GO terms | 2026-10-24 12:50:36 | 3 | |||||
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Onto-Translate Resource Report Resource Website 1+ mentions |
Onto-Translate (RRID:SCR_005725) | Onto-Translate | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | In the annotation world, the same piece of information can be stored and viewed differently across different databases. For instance, more than one Affymetrix probe ID can refer to the same GenBank sequence (accession number) and more than one nucleotide sequence from GenBank can be grouped in a single UniGene cluster. The result of Onto-Express depends on whether the input list contains Affymetrix probe IDs, GenBank accession numbers or UniGene cluster IDs. The user has to be aware of relations between the different forms of the data in order to interpret correctly the results. Even if the user is aware of the relationships and knows how to convert them, most existing tools allow conversions of individual genes. Onto-Translate is a tool that allows the user to perform easily such translations. Affymetrix probe IDs, etc., translate GO terms into other identifiers like GenBank accession number, Uniprot IDs. User account required. Platform: Online tool | annotation, gene, analysis, database or data warehouse, other analysis, affymetrix probe id, affymetrix, probe id, translate go terms into other identifiers like genbank accession number, genbank accession number, uniprot id, gene ontology, translate |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:15215428 | Free for academic use | nlx_149182 | SCR_005725 | SciCrunch Registry | 2026-10-24 12:45:31 | 3 | |||||||
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CR-EST - Crop ESTs Resource Report Resource Website 1+ mentions |
CR-EST - Crop ESTs (RRID:SCR_007612) | data or information resource, database | The Crop EST Database (CR-EST) is a public available online resource providing access to sequence, classification, clustering, and annotation data of crop EST projects at the IPK. Summarized numbers about genomic data of species are listed in tables. The main database content is original sequence data and cDNA library information from different organisms as well as results from BlastX searches against major protein sequence databases contained in NRPEP. Additionally sequence alignments of stackPACK clustering projects are available. This web application allows to BLAST against CR-EST ESTs and to query and retrieve data from Gene Ontology and metabolic pathway annotations as well as sequence similarities from stored results of BLASTX searches against the NRPEP database. CR-EST also features interactive JAVA-based tools, such as open reading frame visualization and explorative analysis of Gene Ontology mappings to ESTs. | nif-0000-02695, r3d100010124 | https://doi.org/10.17616/R3ZP4W | SCR_007612 | SciCrunch Registry | Crop EST | 2026-10-24 12:50:45 | 5 | ||||||||||
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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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High-Throughput GoMiner Resource Report Resource Website 1+ mentions |
High-Throughput GoMiner (RRID:SCR_000173) | software resource, web application | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. A web program that organizes lists of genes of interest (for example, under- and overexpressed genes from a microarray experiment) for biological interpretation in the context of the Gene Ontology and automates the analysis of multiple microarrays then integrates the results across all of them in exportable output files and visualizations. High-Throughput GoMiner is an enhancement of GoMiner and is implemented with both a command line interface and a web interface. The program can also: efficiently perform automated batch processing of an arbitrary number of microarrays; produce a human- or computer-readable report that rank-orders the multiple microarray results according to the number of significant GO categories; integrate the multiple microarray results by providing organized, global clustered image map visualizations of the relationships of significant GO categories; provide a fast form of false discovery rate multiple comparisons calculation; and provide annotations and visualizations for relating transcription factor binding sites to genes and GO categories. | term enrichment, gene ontology, gene, microarray, common variable immune deficiency, high-throughput, visualization, database |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: GoMiner has parent organization: National Cancer Institute has parent organization: National Cancer Institute |
NCI 1Z01BC010842-01 | PMID:15998470 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149300 | SCR_000173 | SciCrunch Registry | 2026-10-24 12:44:08 | 2 | |||||||
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GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource, software resource | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | SciCrunch Registry | 2026-10-24 12:45:31 | 4535 | |||||
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Mouse Genome Informatics (MGI) Resource Report Resource Website 1000+ mentions |
Mouse Genome Informatics (MGI) (RRID:SCR_006460) | MGI | data or information resource, database | International database for laboratory mouse. Data offered by The Jackson Laboratory includes information on integrated genetic, genomic, and biological data. MGI creates and maintains integrated representation of mouse genetic, genomic, expression, and phenotype data and develops reference data set and consensus data views, synthesizes comparative genomic data between mouse and other mammals, maintains set of links and collaborations with other bioinformatics resources, develops and supports analysis and data submission tools, and provides technical support for database users. Projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, and MouseCyc Project at MGI. | RIN, Resource Information Network, molecular neuroanatomy resource, human health, human disease, animal model, gene expression, phenotype, genotype, gene, pathway, orthology, tumor, strain, single nucleotide polymorphism, recombinase, function, blast, image, pathology, model, data analysis service, genome, genetics, gold standard, RRID Community Authority |
uses: InterMOD is used by: NIF Data Federation is used by: Resource Identification Portal is used by: PhenoGO is used by: Integrated Animals is used by: Cytokine Registry is used by: NIH Heal Project is recommended by: Resource Identification Portal is recommended by: NIDDK Information Network (dkNET) is recommended by: National Library of Medicine is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is listed by: OMICtools is listed by: NIH Data Sharing Repositories is listed by: InterMOD is listed by: Resource Information Network is affiliated with: InterMOD is related to: MONARCH Initiative is related to: MouseCyc is related to: AmiGO is related to: Gene Expression Database is related to: Bgee: dataBase for Gene Expression Evolution is related to: HomoloGene is related to: Rat Gene Symbol Tracker is related to: Enhancer Trap Line Browser is related to: Integrated Brain Gene Expression is related to: MalaCards is related to: Gene Ontology is related to: BioMart Project is related to: NIH Data Sharing Repositories is related to: RIKEN integrated database of mammals is related to: JAX Neuroscience Mutagenesis Facility is related to: PhenoGO is related to: International Mouse Strain Resource is related to: Mouse Genome Database is related to: Mouse Tumor Biology Database has parent organization: Jackson Laboratory is parent organization of: Anatomy of the Laboratory Mouse is parent organization of: Mouse Genome Informatics Transgenes is parent organization of: Federation of International Mouse Resources is parent organization of: MGI GO Browser is parent organization of: Recombinase (cre) Activity is parent organization of: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project is parent organization of: Deltagen and Lexicon Knockout Mice and Phenotypic Data Resource is parent organization of: MGI strains is parent organization of: MPO is parent organization of: Phenotypes and Mutant Alleles is parent organization of: Human Mouse Disease Connection is parent organization of: Functional Annotation is parent organization of: Strains, SNPs and Polymorphisms is parent organization of: Vertebrate Homology is parent organization of: Batch Data and Analysis Tool is parent organization of: Nomenclature |
NCI CA089713; NHGRI HG000330; NHGRI HG002273; NHGRI P41 HD062499; NICHD HD033745 |
PMID:19274630 PMID:18428715 |
Free, Freely available | nif-0000-00096, OMICS_01656, r3d100010266 | http://www.informatics.jax.org/batch, http://www.informatics.jax.org/submit.shtml, http://www.informatics.jax.org/expression.shtml, https://doi.org/10.17616/R35P54 | SCR_006460 | SciCrunch Registry | , MGI, Mouse Genome Informatics | 2026-10-24 12:50:39 | 1220 | ||||
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OncoboxPD Resource Report Resource Website 1+ mentions |
OncoboxPD (RRID:SCR_023723) | data or information resource, database | Structured curated collection of protein based and of metabolic human molecular pathways. Human molecular pathways database with tools for activity calculating and visualization.All pathways are functionally classified according to GO terms enrichment patterns. All pathway participants, their interactions and reactions are uniformly processed and annotated, and are ready for numeric analysis of experimental expression data.For every comparison graph is generated summarizing top up and down regulated pathways. | Gene Ontology terms enrichment patterns, human molecular pathways, curated collection, GO terms enrichment patterns, experimental expression data analysis, |
is related to: oncoboxlib is related to: Gene Ontology |
National Natural Science Foundation of China ; Qingdao Key Health Discipline Development Fund ; Qingdao Key Research Project ; Russian Science Foundation |
PMID:35615022 | Free, Freely available | SCR_023723 | SciCrunch Registry | Oncobox Pathway Databank | 2026-10-24 12:51:16 | 8 | |||||||
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Blast2GO Resource Report Resource Website 5000+ mentions |
Blast2GO (RRID:SCR_005828) | B2G | software application, software resource | An ALL in ONE tool for functional annotation of (novel) sequences and the analysis of annotation data. Blast2GO (B2G) joins in one universal application similarity search based GO annotation and functional analysis. B2G offers the possibility of direct statistical analysis on gene function information and visualization of relevant functional features on a highlighted GO direct acyclic graph (DAG). Furthermore B2G includes various statistics charts summarizing the results obtained at BLASTing, GO-mapping, annotation and enrichment analysis (Fisher''''s Exact Test). All analysis process steps are configurable and data import and export are supported at any stage. The application also accepts pre-existing BLAST or annotation files and takes them to subsequent steps. The tool offers a very suitable platform for high throughput functional genomics research in non-model species. B2G is a species-independent, intuitive and interactive desktop application which allows monitoring and comprehending the whole annotation and analysis process supported by additional features like GO Slim integration, evidence code (EC) consideration, a Batch-Mode or GO-Multilevel-Pies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | annotation, visualization, analysis, functional genomics, editor, statistical analysis, slimmer-type tool, ontology or annotation editor, functional analysis, direct acyclic graph, analysis, high throughput, functional genomics |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: Principe Felipe Research Centre; Valencia; Spain |
MCyT GEN 2001 - 4885-C05-03; eTumour Project FP6-2002-LIFESCIHEALTH 503094 |
PMID:16081474 | Free for academic use | OMICS_01475, nlx_149335 | SCR_005828 | SciCrunch Registry | Blast2GO (B2G) | 2026-10-24 12:51:26 | 8620 | |||||
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Pandora - Protein ANnotation Diagram ORiented Analysis Resource Report Resource Website 1+ mentions |
Pandora - Protein ANnotation Diagram ORiented Analysis (RRID:SCR_005686) | Pandora | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | With PANDORA, you can search for any non-uniform sets of proteins and detect subsets of proteins that share unique biological properties and the intersections of such sets. PANDORA supports GO annotations as well as additional keywords (from UniProt Knowledgebase, InterPro, ENZYME, SCOP etc). It is also integrated into the ProtoNet system, thus allowing testing of thousands of automatically generated protein families. Note that PANDORA replaces the ProtoGO browser developed by the same group. Platform: Online tool | protein, annotation, mass spectrometry, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel |
Israeli Ministry of Defense ; Hebrew University of Jerusalem; Jerusalem; Israel |
PMID:14500825 | Free for academic use | nlx_149131 | SCR_005686 | SciCrunch Registry | Protein ANnotation Diagram ORiented Analysis | 2026-10-24 12:45:31 | 2 | |||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software resource, software toolkit | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | SciCrunch Registry | 2026-10-24 12:45:51 | 6 | ||||||||
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PIDFinder Resource Report Resource Website |
PIDFinder (RRID:SCR_005833) | PIDFinder | analysis service resource, data analysis service, production service resource, service resource | PIDFinder is a tool for the exploration of the Primary Immunodeficiency Disease Ontology. Apart from browsing the knowledge contained in the ontology, it can also be used for the identification of PIDs based on a set of observed Phenotypes. The PidFinder web application is a developing prototype application that allows non-bioinformaticians to quickly view and use the knowledge contained in the Primary Immunodeficiency Disease Ontology. The application consists of a number of components: * The PIDFinder: allows the selection of a set of phenotypes and subsequently compares the set with the canonical set of phenotypes defined in the PID Ontology. The phenotypes, that can be selected are grouped by biomarker and are thus available in a number of different facets. Once phenotypes have been selected, the application compares them to canonical phenotypes associated with PIDs in the PID Ontology, by computing a semantic similarity measure. The similarity is determined using a Tanimoto Distance - the more closely related an observed phenotype is to a canonical ontology phenotype, the closer the calculated Tanimoto Distance is to 1 - with increasing dissimilarity, the Tanimoto Coefficient tends towards 0. * The Phenotype Explorer: a rudimentary browser for phenotypes currently contained in the PID Ontology. The browser allows the user to find phenotypes based on biomarker categories and provides some basic definitions (not all definitions are available at this stage) and disease association information. * A Heatmap comparing the phenotypic overlap of PIDs: In essence, the heatmap is a many-to-many comparison of the phenotypic overlap between all Primary Immunodeficiency Diseases contained in the PID Ontology. Again, overlap is calculated using a Tanimoto Distance. The heatmap is a matrix, plotting the Tanimoto coefficients for every PID/PID pair. Increased off-diagonal overlap between PIDs most likely indicates genes in the same pathway. * A Phenotype Frequency Visualization: The phenotype frequency visualization is a simple bar chart indicating how often a particular phenotype is associated with a Primary Immunodeficiency Disease in the Ontology. * A PID Expert map: All of the phenotypes and knowledge contained in the Primary Immunodeficiency Disease Ontology has been extracted from primary clinical or research literature. To construct the map, we have extracted the affiliations and locations of the authors of the literature sources and overlayed them on a map. The hope is that this will facilitate the identification of (local) experts on primary immunodeficiency diseases. | phenotype, disease, immunodeficiency, biomarker, ontology | is related to: PIDO - Primary Immunodeficiency Disease Ontology | Primary Immunodeficiency Disease | nlx_149343 | SCR_005833 | SciCrunch Registry | Primary Immunodeficiency Disease Finder | 2026-10-24 12:50:36 | 0 | |||||||
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NGS-SNP Resource Report Resource Website 10+ mentions |
NGS-SNP (RRID:SCR_005182) | NGS-SNP | software resource | A collection of command-line scripts for providing rich annotations for SNPs identified by the sequencing of transcripts or whole genomes from organisms with reference sequences in Ensembl. Included among the annotations, several of which are not available from any existing SNP annotation tools, are the results of detailed comparisons with orthologous sequences. These comparisons allow, for example, SNPs to be sorted or filtered based on how drastically the SNP changes the score of a protein alignment. Other fields indicate the names of overlapping protein domains or features, and the conservation of both the SNP site and flanking regions. NCBI, Ensembl, and Uniprot IDs are provided for genes, transcripts, and proteins when applicable, along with Gene Ontology terms, a gene description, phenotypes linked to the gene, and an indication of whether the SNP is novel or known. A ?Model_Annotations? field provides several annotations obtained by transferring in silico the SNP to an orthologous gene, typically in a well-characterized species. | annotation, snp, sequencing, transcript, genome, reference sequence, indel, annotate, reference chromosome, reference transcript, gene, command-line |
is listed by: OMICtools is related to: Ensembl has parent organization: University of Alberta; Alberta; Canada |
OMICS_00177 | SCR_005182 | SciCrunch Registry | 2026-10-24 12:45:22 | 33 | |||||||||
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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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elk-reasoner Resource Report Resource Website |
elk-reasoner (RRID:SCR_008913) | ELK | software resource | ELK is an ontology reasoner with the goal of supporting the OWL 2 EL profile. ELK is a specialized reasoner for the lightweight ontology language OWL EL. The practical utility of ELK is in its combination of high performance and comprehensive support for language features. At its core, ELK employs a consequence-based reasoning engine that can take advantage of multi-core and multi-processor systems. A modular architecture allows ELK to be used as a stand-alone application, Protege plug-in, or programming library (either with or without the OWL API). | owl ontology reasoning el, owl, ontology, semantic web, reasoner, description logic, reasoner, ontology reasoner, owl el |
is listed by: Gene Ontology Tools has parent organization: University of Oxford; Oxford; United Kingdom has parent organization: Ulm University; Baden-Wurttemberg; Germany |
EPSRC EP/G02085X/1 | Open unspecified license, Apache License v2 | nlx_151493 | SCR_008913 | SciCrunch Registry | ELK Reasoner | 2026-10-24 12:46:12 | 0 | ||||||
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bioPIXIE Resource Report Resource Website 1+ mentions |
bioPIXIE (RRID:SCR_004182) | bioPIXIE | analysis service resource, data analysis service, production service resource, service resource | bioPIXIE is a general system for discovery of biological networks through integration of diverse genome-wide functional data. This novel system for biological data integration and visualization, allows you to discover interaction networks and pathways in which your gene(s) (e.g. BNI1, YFL039C) of interest participate. The system is based on a Bayesian algorithm for identification of biological networks based on integrated diverse genomic data. To start using bioPIXIE, enter your genes of interest into the search box. You can use ORF names or aliases. If you enter multiple genes, they can be separated by commas or returns. Press ''submit''. bioPIXIE uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the bioPIXIE algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. As you move the mouse over genes in the network, interactions involving these genes are highlighted. If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. You may need to download the Adobe Scalable Vector Graphic (SVG) plugin to utilize the visualization tool (you will be prompted if you need it). | prediction, bayesian network, probabilistic, interaction, network | has parent organization: Princeton University; New Jersey; USA | NHGRI T32 HG003284; NIGMS R01 GM071966; NHGRI R01 HG003471; NIGMS P50 GM071508; NSF DGE-9972930; NSF IIS-0513552 |
PMID:16420673 | nlx_20893 | SCR_004182 | SciCrunch Registry | biological Process Inference from eXperimental Interaction Evidence | 2026-10-24 12:50:28 | 1 | ||||||
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Blip: Biomedical Logic Programming Resource Report Resource Website 1+ mentions |
Blip: Biomedical Logic Programming (RRID:SCR_005733) | Blip, blipkit | software resource | Biomedical Logical Programming (Blip) is a research-oriented deductive database and prolog application library for handling biological and biomedical data. It includes packages for advanced querying of ontologies and annotations. Blip underpins the Obol tool. Here are some distinguishing characteristics of Blip * Lightweight. Bloat-free: Blip only has as many modules as it needs to do its job. * Fast. * Declarative. Say what you want to do, not how you want to do it * Blip can be Query-oriented: specify your data sources and ask your query * Blip can be Application-oriented: it is designed to be used as an application library used by other bioinformatics tools * Mature and fully functional ontology module for handling both OBO-style ontologies and OWL ontologies. * Modules for handling biological sequences and sequence features. (currently limited functionality, added as needed) * A systems biology module for querying pathway and interaction data. (currently limited functionality, added as needed) * Relational database integration. SQL can be viewed as a highly restricted dialect of Prolog. Although the SWI-Prolog in-memory database is fast and scalable, sometimes it is nice to be able to fetch data from an external database. Blip contains a generic SQL utility module and predicate mappings for the GO database, Ensembl and Chado * Integration with a variety of bioinformatics file formats. SWI-Prolog has a variety of fast libraries for dealing with XML, RDF and tabular data files. Blip provides bridges from bio file formats encoded using these syntaxes into its native models. For other syntaxes, Blip seamlessly integrates other packages such as BioPerl and go-perl. Although these dependencies require extra installation, there is no point reinventing the wheel * Rapid development of web applications. Blip extends SWI-Prolog''''s excellent http support with a simple and powerful logical-functional-programming style application server, serval. This has been used to prototype a fully-featured next-generation replacement for the GO project amigo browser. * Scalable. Blip is not intended to be a toy system on toy data (although it is happy to be used as a toy if you like!). It is intended to be used as an application component and a tool operating on real-world biological and biomedical data Blip is written in SWI-Prolog, a fast, robust and scalable implementation of ISO Prolog. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | biology, biomedical, ontology, annotation, software library, bioinformatics, module |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Berkeley Bioinformatics Open-Source Projects |
GNU Lesser General Public License | nlx_149193 | SCR_005733 | SciCrunch Registry | Blip - Biomedical Logic Programming, Biomedical Logical Programming (Blip), Biomedical Logic Programming | 2026-10-24 12:45:32 | 2 | |||||||
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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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FIVA - Functional Information Viewer and Analyzer Resource Report Resource Website 1+ mentions |
FIVA - Functional Information Viewer and Analyzer (RRID:SCR_005776) | FIVA | data processing software, software application, software resource | Functional Information Viewer and Analyzer (FIVA) aids researchers in the prokaryotic community to quickly identify relevant biological processes following transcriptome analysis. Our software is able to assist in functional profiling of large sets of genes and generates a comprehensive overview of affected biological processes. Currently, seven different modules containing functional information have been implemented: (i) gene regulatory interactions, (ii) cluster of orthologous groups (COG) of proteins, (iii) gene ontologies (GO), (iv) metabolic pathways (v) Swiss Prot keywords, (vi) InterPro domains - and (vii) generic functional categories. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, gene expression, gene expression pattern, functional profile, statistical analysis, metabolic pathway, gene ontology, function, ortholog, gene regulatory interaction, biological process, transcriptome, visualization, analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: MolGen |
Netherlands Organization for Scientific Research ; industrial partners in the NWO-BMI project number 050.50.206 on Computational Genomics of Prokaryotes ; Center IOP Genomics ; European Union QLK3-CT-2001-01473 |
PMID:17237043 | Free for academic use | nlx_149245 | SCR_005776 | SciCrunch Registry | FIVA - Functional Information Viewer Analyzer, Functional Information Viewer and Analyzer (FIVA), Functional Information Viewer and Analyzer | 2026-10-24 12:49:53 | 1 | |||||
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GOdist Resource Report Resource Website |
GOdist (RRID:SCR_005770) | GOdist | data analysis software, data processing software, software application, software resource | GOdist is a Matlab program that analyzes Affymetrix microarray expression data implementing Kolmogorov-Smirnov (KS) continuous statistics approach. It also implements the discrete approach using Fisher exact test employing a two-tailed hypergeometric distribution. GOdist enables detection of both kinds of changes within specific GO terms represented on the array in relation to different populations: the global array population, the direct parents of the analyzed GO term and the global parent of it (e.g. biological process, molecular function or cellular component). Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, function, gene, gene expression, gene ontology, matlab, affymetrix, microarray, biological process, molecular function, cellular component, fisher exact test, kolmogorov-smirnov |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Hebrew University of Jerusalem; Jerusalem; Israel |
PMID:15550480 | Free for academic use | nlx_149260 | SCR_005770 | SciCrunch Registry | 2026-10-24 12:45:32 | 0 |
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