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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Bowtie Resource Report Resource Website 10000+ mentions |
Bowtie (RRID:SCR_005476) | alignment software, data analysis software, data processing software, image analysis software, sequence analysis software, software application, software resource | Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner. | sequence, analysis, long, reference, read, alignment, gap, local, pair, end, rna, rnaseq, bio.tools |
is used by: deFuse is used by: Short Read Sequence Typing for Bacterial Pathogens is used by: TopHat is used by: BS Seeker is listed by: OMICtools is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: Bowtie 2 has parent organization: Johns Hopkins University; Maryland; USA is required by: RelocaTE |
Amazon Web Services in Education Research ; NHGRI R01 HG006102; NIGMS R01 GM083873 |
PMID:19261174 DOI:10.1186/gb-2009-10-3-r25 |
Free, Available for download, Freely available | biotools:bowtie, OMICS_00653 | https://github.com/BenLangmead/bowtie, https://bio.tools/bowtie, https://sources.debian.org/src/bowtie/ | SCR_005476 | SciCrunch Registry | 2026-10-24 12:45:27 | 13799 | ||||||
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UM-BBD Resource Report Resource Website 1+ mentions |
UM-BBD (RRID:SCR_005787) | UM-BBD, UM-BBD enzymeID, UM-BBD pathwayID, UM-BBD reactionID, UM-BBD ruleID | analysis service resource, data analysis service, data or information resource, data set, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2014. Database containing information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. Its goal is to provide information on microbial enzyme-catalyzed reactions that are important for biotechnology. The reactions covered are studied for basic understanding of nature, biocatalysis leading to specialty chemical manufacture, and biodegradation of environmental pollutants. Individual reactions and metabolic pathways are presented with information on the starting and intermediate chemical compounds, the organisms that transform the compounds, the enzymes, and the genes. The present database has been successfully used to teach enzymology and use of biochemical Internet information resources to advanced undergraduate and graduate students, and is being expanded primarily with the help of such students. In addition to reactions and pathways, this database also contains Biochemical Periodic Tables and a Pathway Prediction System. * Search the UM-BBD for compound, enzyme, microorganism, pathway, or BT rule name; chemical formula; chemical structure; CAS Registry Number; or EC code. * Go to Pathways and Metapathways in the UM-BBD * Lists of 203 pathways; 1400 reactions; 1296 compounds; 916 enzymes; 510 microorganism entries; 245 biotransformation rules; 50 organic functional groups; 76 reactions of naphthalene 1,2-dioxygenase; 109 reactions of toluene dioxygenase; Graphical UM-BBD Overview; and Other Graphics (Metapathway and Pathway Maps and Reaction Mechanisms). | enzyme, biocatalysis, biodegredation, chemical, pathway, reaction, microorganism, image, chemical compound, gene, enzymology | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | Minnesota Supercomputing Institute ; Lhasa Limited ; University of Minnesota; Minnesota; USA ; European Union FP6 ALARM project ; NIH ; NSF 0543416; DOE DE-FG02-01ER63268; NIGMS R01GM56529; NSF 9630427 |
PMID:19767608 PMID:16381924 PMID:12519997 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03607, r3d100011317 | https://doi.org/10.17616/R33D0V | SCR_005787 | SciCrunch Registry | UM-BBD pathwayID, University of Minnesota Biocatalysis and Biodegradation Database, UM-BBD reactionID, Biocatalysis/Biodegradation Database, University of Minnesota Biocatalysis/Biodegradation Database, UM-BBD ruleID, Univeristy of Minnesota Biocatalysis/Biodegradation Database, UM-BBD enzymeID | 2026-10-24 12:45:32 | 9 | ||||
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UCSC Genome Browser Resource Report Resource Website 10000+ mentions Rating or validation data |
UCSC Genome Browser (RRID:SCR_005780) | data or information resource, database, portal, project portal, service resource | Portal to interactively visualize genomic data. Provides reference sequences and working draft assemblies for collection of genomes and access to ENCODE and Neanderthal projects. Includes collection of vertebrate and model organism assemblies and annotations, along with suite of tools for viewing, analyzing and downloading data. | Reference, sequence, assembly, collection, genome, visualize, genomic, data, ENCODE, Neanderthal, project, sequencing |
is used by: VizHub is used by: Blueprint Epigenome is used by: QmRLFS-finder is used by: International Human Epigenome Consortium Data Portal is used by: iPiG is listed by: re3data.org is listed by: OMICtools is listed by: Educational Resources in Neuroscience is listed by: SoftCite is related to: HEXEvent is related to: PicTar is related to: Phenotree is related to: Enhancer Trap Line Browser is related to: CistromeFinder is related to: ENCODE is related to: Human Epigenome Atlas is related to: ENCODE is related to: BigWig and BigBed is related to: PhenCode is related to: doRiNA is related to: ISCA Consortium is related to: WashU Epigenome Browser is related to: CRISPOR is related to: liftOver is related to: kent has parent organization: University of California at Santa Cruz; California; USA works with: TarBase works with: bedGraphToBigWig |
Alfred P. Sloan Foundation ; CISI ; David and Lucille Packard Foundation ; DOE ; HHMI ; NHGRI ; NIGMS GM52848; NIH ; NSF DBI 9809007; UC BIOTEuropean UnionH |
PMID:12045153 PMID:22908213 PMID:23155063 |
OMICS_00926, SCR_017502, nif-0000-03603, SciEx_217, SCR_012479, r3d100010243 | http://genome.cse.ucsc.edu, https://doi.org/10.17616/R3RK5C | SCR_005780 | SciCrunch Registry | The Human Genome Browser at UCSC, UCSC Genome Browser Group, University of California at Santa Cruz Genome Browser, UCSC Genome Bioinformatics | 2026-10-24 12:45:32 | 11041 | ||||||
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Dictyostelium Anatomy Ontology Resource Report Resource Website 1+ mentions |
Dictyostelium Anatomy Ontology (RRID:SCR_005929) | controlled vocabulary, data or information resource, ontology | An ontology to describe Dictyostelium where the structural makeup of Dictyostelium and its composing parts including the different cell types, throughout its life cycle is defined. There are two main goals for this new tool: (1) promote the consistent annotation of Dictyostelium-specific events, such as phenotypes (already in use), and in the future, of gene expression information; and (2) encourage researchers to use the same terms with the same intended meaning. To this end, all terms are defined. The complete ontology can be browsed using EBI''s ontology browser tool. (http://www.ebi.ac.uk/ontology-lookup/browse.do?ontName=DDANAT) | stricture, cell type, life cycle, phenotype, gene expression | has parent organization: Dictyostelium discoideum genome database | Wellcome Trust ; NIGMS GM64426; NHGRI HG00022 |
PMID:18366659 | nlx_14988 | SCR_005929 | SciCrunch Registry | 2026-10-24 12:45:35 | 1 | ||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | SciCrunch Registry | PHYLogeny Inference Package | 2026-10-24 12:45:40 | 3544 | |||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | SciCrunch Registry | 2026-10-24 12:45:38 | 19 | |||||
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Systems Biology Graphical Notation Resource Report Resource Website 1+ mentions |
Systems Biology Graphical Notation (RRID:SCR_004671) | SBGN | data or information resource, international standard specification, meeting resource, narrative resource, portal, software resource, standard specification, topical portal, training resource | The Systems Biology Graphical Notation (SBGN) project aims to develop high quality, standard graphical languages for representing biological processes and interactions. Each SBGN language is based on the consensus of the broad international SBGN community of biologists, curators and software developers. Over the course of its development many individuals, organizations and companies made invaluable contributions to the SBGN through participating in discussions and meetings, providing feedback on the documentation and worked examples, adopting the standard and spreading the word. Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling. A list of software packages known to provide (or have started to develop) support for SBGN notations is available. | New Energy and Industrial Technology Development Organization ; Okinawa Institute of Science and Technology ; BBSRC ; National Institute of Advanced Industrial Science and Technology of Japan ; European Media Laboratory EML Research GmbH ; California Institute of Technology; California; USA ; NIGMS 1R01GM081070-01 |
PMID:19668183 | nlx_66628 | SCR_004671 | SciCrunch Registry | 2026-10-24 12:45:14 | 1 | |||||||||
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PR Resource Report Resource Website |
PR (RRID:SCR_004964) | PR | controlled vocabulary, data or information resource, ontology | An ontological representation of protein-related entities by explicitly defining them and showing the relationships between them. Each PRO term represents a distinct class of entities (including specific modified forms, orthologous isoforms, and protein complexes) ranging from the taxon-neutral to the taxon-specific. The ontology has a meta-structure encompassing three areas: proteins based on evolutionary relatedness (ProEvo); protein forms produced from a given gene locus (ProForm); and protein-containing complexes (ProComp). NOTICE: The PRO ID format has changed from PRO: to PR: (e.g. PRO:000000563 is now PR:000000563). | database, obo, protein |
is listed by: BioPortal has parent organization: Protein Information Resource has parent organization: Georgetown University; Washington D.C.; USA |
NIH ; NIGMS GM080646-01 |
nlx_92849 | SCR_004964 | SciCrunch Registry | PRO, Protein Ontology | 2026-10-24 12:45:18 | 0 | |||||||
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Protein Data Bank Markup Language Resource Report Resource Website 1+ mentions |
Protein Data Bank Markup Language (RRID:SCR_005085) | PDBML | data or information resource, interchange format, markup language, narrative resource, standard specification | Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available. | xml |
is related to: RCSB PDB Software Tools has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS |
PMID:15509603 | nlx_144096 | SCR_005085 | SciCrunch Registry | PDBML: Protein Data Bank Markup Language | 2026-10-24 12:45:20 | 2 | ||||||
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Gene Map Annotator and Pathway Profiler Resource Report Resource Website 100+ mentions |
Gene Map Annotator and Pathway Profiler (RRID:SCR_005094) | data processing software, data visualization software, software application, software resource | GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: *Draw pathways with easy to use graphics tools *Color genes on MAPP files based on user-imported genomic data *Query data against MAPPs and the GeneOntology Enhanced features include the simultaneous view of multiple color sets, expanded species-specific gene databases and custom database options. | expression, gene, analysis, biological, mapping, microarray, network, pathway, protein, visualization, ontology, proteomics, FASEB list |
has parent organization: University of California at San Francisco; California; USA is parent organization of: MAPPFinder |
Agilent Foundation ; BayGenomics ; NIGMS |
PMID:17588266 | nif-0000-00244 | SCR_005094 | SciCrunch Registry | GenMAPP | 2026-10-24 12:45:21 | 212 | |||||||
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | data or information resource, data repository, database, service resource, storage service resource | Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data. | Variation, trait, vertebrate trait ontology, phenotype, systems genetics, quantitative trait, gene mapping, experimental precision medicinenetwork analysis, causal modeling, genomic location, genotype, inbred strain, sex, heterogeneous stock, phenome, phenotype, QTL, expression QTL, genetic reference population, single nucleotide polymorphism, RNA expression, protein expression, metabolite expression, metagenomics, epigenomics, gene-by-environmental interaction, epistasis, FAIR data standards, open source software, FASEB list |
is used by: NIF Data Federation is used by: Hypothesis Center is related to: NIH Data Sharing Repositories has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
NCI U01 CA105417; NCRR U24 RR021760; NIAAA U01 AA014425; NIAAA U01 AA016662; NIAAA U01 AA13499; NIAAA U24 AA13513; NIA R01 AG043930; NIDA P20 DA21131; NIGMS R01 GM123489 |
PMID:8043953 PMID:11737945 PMID:15043217 PMID:15114364 PMID:15043220 PMID:15043219 PMID:15711545 PMID:18368372 PMID:27933521 |
Restricted | nif-0000-00380 | SCR_002388 | SciCrunch Registry | GeneNetwork and WebQTL, GeneNetwork / WebQTL, www.genenetwork.org, GeneNetwork WebQTL, The GeneNetwork / WebQTL | 2026-10-24 12:44:46 | 499 | |||||
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ConTrack Resource Report Resource Website 10+ mentions |
ConTrack (RRID:SCR_002681) | ConTrack | data processing software, image processing software, software application, software resource | An algorithm for identifying pathways that are known to exist between two regions within DTI data of anisotropic tissue, e.g., muscle, brain, spinal cord. The ConTrack algorithms use knowledge of DTI scanning physics and apriori information about tissue architecture to identify the location of connections between two regions within the DTI data. Assuming a course of connection or pathway between these two regions is known to exist within the measured tissue, ConTrack can be used to estimate properties of these connections in-vivo. | diffusion tensor imaging, tractography, brain connectivity, mri, software, source code, pathway, fiber tractography, tissue analysis |
is listed by: Biositemaps has parent organization: Simtk.org |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970; NEI EY015000 |
PMID:18831651 | Free, Available for download, Freely available | nif-0000-23303 | SCR_002681 | SciCrunch Registry | Connectivity Tracking, Connectivity Tracking (ConTrack) | 2026-10-24 12:44:46 | 13 | |||||
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Diseasome Resource Report Resource Website 1+ mentions |
Diseasome (RRID:SCR_002792) | Diseasome | book, data or information resource, data set, image, map, narrative resource, service resource | A disease / disorder relationships explorer and a sample of a map-oriented scientific work. It uses the Human Disease Network dataset and allows intuitive knowledge discovery by mapping its complexity. The Human Disease Network (official) dataset, a poster of the data and related book (Biology - The digital era, ISBN: 978-2-271-06779-1) are available. This kind of data has a network-like organization, and relations between elements are at least as important as the elements themselves. More data could be integrated to this prototype and could eventually bring closer phenotype and genotype. Results should be visual, but also printable. Creating posters can enhance collaborative work. It facilitates discussion and sharing of ideas about the data. This website initiative is an invitation to think about the benefits of networks exploration but above all it tries to outline future designs of scientific information systems. | disease, disorder, genotype, phenotype, poster, network |
is related to: Allen Institute Neurowiki has parent organization: Gephi |
Dana-Farber Cancer Institute ; W. M. Keck Foundation ; NHGRI ; NIGMS |
PMID:17502601 | Free, Freely Available | nif-0000-24580 | SCR_002792 | SciCrunch Registry | Diseaseome | 2026-10-24 12:44:48 | 1 | |||||
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PharmGKB Resource Report Resource Website 1000+ mentions |
PharmGKB (RRID:SCR_002689) | PharmGKB | data access protocol, data or information resource, data repository, data set, database, service resource, software resource, storage service resource, web service | Database and central repository for genetic, genomic, molecular and cellular phenotype data and clinical information about people who have participated in pharmacogenomics research studies. The data includes, but is not limited to, clinical and basic pharmacokinetic and pharmacogenomic research in the cardiovascular, pulmonary, cancer, pathways, metabolic and transporter domains. PharmGKB welcomes submissions of primary data from all research into genes and genetic variation and their effects on drug and disease phenotypes. PharmGKB collects, encodes, and disseminates knowledge about the impact of human genetic variations on drug response. They curate primary genotype and phenotype data, annotate gene variants and gene-drug-disease relationships via literature review, and summarize important PGx genes and drug pathways. PharmGKB is part of the NIH Pharmacogenomics Research Network (PGRN), a nationwide collaborative research consortium. Its aim is to aid researchers in understanding how genetic variation among individuals contributes to differences in reactions to drugs. A selected subset of data from PharmGKB is accessible via a SOAP interface. Downloaded data is available for individual research purposes only. Drugs with pharmacogenomic information in the context of FDA-approved drug labels are cataloged and drugs with mounting pharmacogenomic evidence are listed. | pharmacogenomics, microarray, pathway, phenotype, snp array, genotype, clinical, genetic variation, drug, gene, genetic variation, disease, cardiovascular, pulmonary, cancer, metabolic, transporter, drug response, small molecule, research, drug response, FASEB list |
is used by: NIF Data Federation is listed by: OMICtools is related to: WikiPathways is related to: ConsensusPathDB is related to: Integrated Molecular Interaction Database is related to: MalaCards is related to: phenomeNET has parent organization: Stanford University; Stanford; California is parent organization of: PharmGKB Ontology |
NIGMS R24 GM61374 | PMID:11908751 | Free, Freely available | nif-0000-00414, OMICS_01586, r3d100012325 | https://doi.org/10.17616/R31H1N | SCR_002689 | SciCrunch Registry | Pharmacogenomics Knowledge Base | 2026-10-24 12:44:46 | 1276 | ||||
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I2D Resource Report Resource Website 10+ mentions |
I2D (RRID:SCR_002957) | I2D | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database of known and predicted mammalian and eukaryotic protein-protein interactions, it is designed to be both a resource for the laboratory scientist to explore known and predicted protein-protein interactions, and to facilitate bioinformatics initiatives exploring protein interaction networks. It has been built by mapping high-throughput (HTP) data between species. Thus, until experimentally verified, these interactions should be considered predictions. It remains one of the most comprehensive sources of known and predicted eukaryotic PPI. It contains 490,600 Source Interactions, 370,002 Predicted Interactions, for a total of 846,116 interactions, and continues to expand as new protein-protein interaction data becomes available. | interaction, prediction, protein-protein interaction, high-throughput, model organism, mammal, eukaryote, visualization, interolog, protein |
is related to: Interaction Reference Index is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry is related to: IntAct has parent organization: University of Toronto; Ontario; Canada |
National Science and Engineering Research Council RGPIN 203833-02; NIGMS P50-GM62413 |
PMID:17535438 PMID:15657099 |
Free, Available for download, Freely available | nif-0000-03005, r3d100010675 | https://doi.org/10.17616/R3BG8R | SCR_002957 | SciCrunch Registry | Interologous Interaction Database, OPHID, I2D - Interologous Interaction Database | 2026-10-24 12:44:50 | 23 | ||||
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Patterns of Gene Expression in Drosophila Embryogenesis Resource Report Resource Website 50+ mentions |
Patterns of Gene Expression in Drosophila Embryogenesis (RRID:SCR_002868) | BDGP insitu | data or information resource, database, image collection, software resource, source code | Database of embryonic expression patterns using a high throughput RNA in situ hybridization of the protein-coding genes identified in the Drosophila melanogaster genome with images and controlled vocabulary annotations. At the end of production pipeline gene expression patterns are documented by taking a large number of digital images of individual embryos. The quality and identity of the captured image data are verified by independently derived microarray time-course analysis of gene expression using Affymetrix GeneChip technology. Gene expression patterns are annotated with controlled vocabulary for developmental anatomy of Drosophila embryogenesis. Image, microarray and annotation data are stored in a modified version of Gene Ontology database and the entire dataset is available on the web in browsable and searchable form or MySQL dump can be downloaded. So far, they have examined expression of 7507 genes and documented them with 111184 digital photographs. | embryo, embryogenesis, gene, anatomy, microarray, pattern, protocol, rna, gene expression, expression pattern, embryonic drosophila, in situ hybridization, annotation, est, FASEB list |
is related to: Gene Ontology has parent organization: Berkeley Drosophila Genome Project |
Howard Hughes Medical Institute ; NIH ; NIGMS R01 GM076655; NHGRI HG00750; NHGRI P41 HG00739 |
PMID:17645804 PMID:12537577 |
Free, Freely available, Available for download | nif-0000-25550, r3d100011327 | https://doi.org/10.17616/R32H0K | http://www.fruitfly.org/cgi-bin/ex/insitu.pl | SCR_002868 | SciCrunch Registry | BDGP Embryonic Expression Patterns | 2026-10-24 12:44:49 | 64 | |||
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GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool Resource Report Resource Website 1+ mentions |
GOLEM An interactive, graphical gene-ontology visualization, navigation, and analysis tool (RRID:SCR_003191) | GOLEM | analysis service resource, data analysis service, production service resource, service resource, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented July 7, 2017. Welcome to the home of GOLEM: An interactive, graphical gene-ontology visualization, navigation,and analysis tool on the web. GOLEM is a useful tool which allows the viewer to navigate and explore a local portion of the Gene Ontology (GO) hierarchy. Users can also load annotations for various organisms into the ontology in order to search for particular genes, or to limit the display to show only GO terms relevant to a particular organism, or to quickly search for GO terms enriched in a set of query genes. GOLEM is implemented in Java, and is available both for use on the web as an applet, and for download as a JAR package. A brief tutorial on how to use GOLEM is available both online and in the instructions included in the program. We also have a list of links to libraries used to make GOLEM, as well as the various organizations that curate organism annotations to the ontology. GOLEM is available as a .jar package and a macintosh .app for use on- or off- line as a stand-alone package. You will need to have Java (v.1.5 or greater) installed on your system to run GOLEM. Source code (including Eclipse project files) are also available. GOLEM (Gene Ontology Local Exploration Map)is a visualization and analysis tool for focused exploration of the gene ontology graph. GOLEM allows the user to dynamically expand and focus the local graph structure of the gene ontology hierarchy in the neighborhood of any chosen term. It also supports rapid analysis of an input list of genes to find enriched gene ontology terms. The GOLEM application permits the user either to utilize local gene ontology and annotations files in the absence of an Internet connection, or to access the most recent ontology and annotation information from the gene ontology webpage. GOLEM supports global and organism-specific searches by gene ontology term name, gene ontology id and gene name. CONCLUSION: GOLEM is a useful software tool for biologists interested in visualizing the local directed acyclic graph structure of the gene ontology hierarchy and searching for gene ontology terms enriched in genes of interest. It is freely available both as an application and as an applet. | gene ontology, ontology visualization, ontology analysis |
is related to: Gene Ontology has parent organization: Princeton University; New Jersey; USA |
NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:17032457 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30620 | https://lsi.princeton.edu/golem-interactive-graph-based-gene-ontology-navigation-and-analysis-tool | SCR_003191 | SciCrunch Registry | GOLEM An interactive graphical gene-ontology visualization navigation and analysis tool, GOLEM An interactive graphical gene-ontology visualization navigation analysis tool | 2026-10-24 12:44:53 | 3 | ||||
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NLSdb: a database of nuclear localization signals Resource Report Resource Website 1+ mentions |
NLSdb: a database of nuclear localization signals (RRID:SCR_003273) | NLSdb | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A database of nuclear localization signals (NLSs) and of nuclear proteins targeted to the nucleus by NLS motifs. NLSs are short stretches of residues mediating transport of nuclear proteins into the nucleus. The database contains 114 experimentally determined NLSs that were obtained through an extensive literature search. Using "in silico mutagenesis" this set was extended to 308 experimental and potential NLSs. This final set matched over 43% of all known nuclear proteins and matches no currently known non-nuclear protein. NLSdb contains over 6000 predicted nuclear proteins and their targeting signals from the PDB and SWISS-PROT/TrEMBL databases. The database also contains over 12 500 predicted nuclear proteins from six entirely sequenced eukaryotic proteomes (Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana and Saccharomyces cerevisiae). NLS motifs often co-localize with DNA-binding regions. This observation was used to also annotate over 1500 DNA-binding proteins. From this site you can: * Query NLSdb * Find out how to use NLSdb * Browse the entries in NLSdb * Find out if your protein has an NLS using PredictNLS * Predict subcellular localization of your protein using LOCtree | nuclear localization signal, nuclear protein, nucleus, motif, predict, protein | has parent organization: Columbia University; New York; USA | NIGMS 1-P50-GM62413-01; NSF DBI-0131168 |
PMID:12520032 | Free for academic use, Acknowledgement requested, All others should inquire about a commercial license | nif-0000-03191 | http://cubic.bioc.columbia.edu/db/NLSdb/ | SCR_003273 | SciCrunch Registry | NLSdb - a database of nuclear localization signals | 2026-10-24 12:44:54 | 4 | ||||
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EMDataResource.org Resource Report Resource Website 100+ mentions |
EMDataResource.org (RRID:SCR_003207) | EMDB, EMDataResource | data or information resource, data repository, portal, project portal, service resource, storage service resource | Portal for deposition and retrieval of cryo electron microscopy (3DEM) density maps, atomic models, and associated metadata. Global resource for 3 Dimensional Electron Microscopy structure data archiving and retrieval, news, events, software tools, data standards, validation methods. | deposition, retrival, cryo, electron, microscopy, 3DEM, density, maps, atomic, model, metadata, structure |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: 3DVC is listed by: re3data.org is affiliated with: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: Electron Microscopy Data Bank at PDBe (MSD-EBI) is related to: PDBe - Protein Data Bank in Europe is related to: National Center for Macromolecular Imaging has parent organization: Rutgers University; New Jersey; USA has parent organization: European Bioinformatics Institute has parent organization: Baylor University; Texas; USA |
BBSRC BBG022577; NIGMS R01 GM079429 |
PMID:20935055 PMID:20888470 |
Free, Freely available | r3d100010552, nif-0000-30776 | https://doi.org/10.17616/R3T61P | EMDataBank.org | SCR_003207 | SciCrunch Registry | EMDataResource, EMDResource, EMDB, EMDataBank.org, EMDataBank - Unified Data Resource for 3DEM, EMDataBank | 2026-10-24 12:44:53 | 183 | |||
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Database of Interacting Proteins (DIP) Resource Report Resource Website 100+ mentions |
Database of Interacting Proteins (DIP) (RRID:SCR_003167) | DIP | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available. | blast, cellular network, ligand-receptor complex, ligand, network, protein, protein interaction, protein ligand, protein-protein interaction, protein receptor, receptor, sequence, interaction, regulatory pathway, signaling pathway, protein binding, bio.tools, FASEB list |
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: OMICtools is listed by: re3data.org is listed by: NIH Data Sharing Repositories is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: IMEx - The International Molecular Exchange Consortium is related to: MPIDB is related to: TissueNet - The Database of Human Tissue Protein-Protein Interactions is related to: InteroPorc is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: NIH Data Sharing Repositories is related to: PSICQUIC Registry is related to: Agile Protein Interactomes DataServer has parent organization: University of California at Los Angeles; California; USA |
NIGMS | PMID:14681454 | Free, Available for download, Freely available | OMICS_01905, nif-0000-00569, r3d100010882, biotools:dip | https://dip.doe-mbi.ucla.edu/dip/Main.cgi, https://bio.tools/dip, https://doi.org/10.17616/R3431F | SCR_003167 | SciCrunch Registry | , Database of Interacting Proteins, DIP, Database of Interacting Proteins (DIP) | 2026-10-24 12:44:57 | 167 |
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