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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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GenePattern Resource Report Resource Website 1000+ mentions |
GenePattern (RRID:SCR_003201) | GenePattern | data analysis software, data processing software, software application, software resource | A powerful genomic analysis platform that provides access to hundreds of tools for gene expression analysis, proteomics, SNP analysis, flow cytometry, RNA-seq analysis, and common data processing tasks. A web-based interface provides easy access to these tools and allows the creation of multi-step analysis pipelines that enable reproducible in silico research. | gene expression, analysis, genomic, pattern, proteomics, silico, snp, workflow, analysis pipeline, flow cytometry, rna-seq, data processing, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is affiliated with: GenePattern Notebook is related to: TIGRESS has parent organization: Broad Institute |
NCI ; NIGMS |
PMID:16642009 | Free, Freely available | biotools:genepattern, OMICS_01855, nif-0000-30654 | https://bio.tools/genepattern | SCR_003201 | SciCrunch Registry | 2026-10-24 12:44:53 | 1135 | |||||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET 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 mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. 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. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | SciCrunch Registry | MouseNET | 2026-10-24 12:44:56 | 3 | |||||
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Cell Image Library (CIL) Resource Report Resource Website 10+ mentions |
Cell Image Library (CIL) (RRID:SCR_003510) | CIL | data or information resource, data repository, database, image repository, service resource, storage service resource | Freely accessible, public repository of vetted and annotated microscopic images, videos, and animations of cells from a variety of organisms, showcasing cell architecture, intracellular functionalities, and both normal and abnormal processes. Explore by Cell Process, Cell Component, Cell Type or Organism. The Cell includes images acquired from historical and modern collections, publications, and by recruitment. | microscopic image repository, microscopic video repository, cell animation repository, bio.tools |
is used by: NIF Data Federation is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Cell Centered Database is related to: Cell Centered Database is related to: OME-TIFF Format is related to: Integrated Manually Extracted Annotation has parent organization: American Society for Cell Biology has parent organization: University of California; San Diego;National Center for Microscopy and Imaging Research - NCMIR has parent organization: University of California at San Diego; California; USA is parent organization of: Biological Imaging Methods Ontology |
NIGMS RC2 GM092708 | PMID:34218671 PMID:34218673 |
Free, Freely available | biotools:cellimagelibrary, nif-0000-37639, r3d100011601 | http://www.cellimagelibrary.org/pages/about, https://bio.tools/cellimagelibrary, https://doi.org/10.17616/R3N92J | SCR_003510 | SciCrunch Registry | Cell Image Library. CIL, Cell Image Library (CIL) | 2026-10-24 12:44:58 | 22 | ||||
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Reactome Resource Report Resource Website 1000+ mentions |
Reactome (RRID:SCR_003485) | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets. | pathway, interaction, reaction, nucleic acid, protein, complex, small molecule, signaling pathway, immune function, transcriptional regulation, translation, apoptosis, metabolism, ortholog, visualization, protein-protein interaction, web service, book, biomart, gold standard, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: DisGeNET is used by: Pathway Analysis Tool for Integration and Knowledge Acquisition is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: WikiPathways is related to: Pathway Commons is related to: ConsensusPathDB is related to: FlyMine is related to: AmiGO is related to: PSICQUIC Registry is related to: Integrated Molecular Interaction Database is related to: NCBI BioSystems Database is related to: MOPED - Model Organism Protein Expression Database is related to: KOBAS is related to: PSICQUIC Registry is related to: Pathway Interaction Database is related to: hiPathDB - human integrated Pathway DB with facile visualization is related to: Algal Functional Annotation Tool has parent organization: Ontario Institute for Cancer Research has parent organization: Cold Spring Harbor Laboratory has parent organization: European Bioinformatics Institute has parent organization: New York University School of Medicine; New York; USA works with: PathwayMatcher |
European Molecular Biology Laboratory ; European Union FP6 ENFIN LSHG-CT-2005-518254; NHGRI P41 HG003751; NIGMS GM080223; NIGMS R01 GM100039; Ontario Research Fund |
PMID:21082427 PMID:21067998 |
Open source, Public, Freely available | r3d100010285, nif-0000-03390, biotools:reactome | https://bio.tools/reactome, https://doi.org/10.17616/R3V59P | SCR_003485 | SciCrunch Registry | Reactome Functional Interaction Network | 2026-10-24 12:45:00 | 4810 | |||||
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National Institute of General Medical Sciences Image Gallery Resource Report Resource Website |
National Institute of General Medical Sciences Image Gallery (RRID:SCR_003480) | NIGMS Image Gallery | data or information resource, image collection, video resource | Database of scientific photos, illustrations, and videos made available by the National Institute of General Medical Sciences. | training material, database, illustration, media, news, photo, research | has parent organization: National Institute of General Medical Sciences | NIGMS | Permission is granted to use these images for educational, News media or research purposes, Provided the source for each image is credited. The material in this database may not be used to promote or endorse commercial products or services. | nif-0000-33708 | SCR_003480 | SciCrunch Registry | 2026-10-24 12:44:58 | 0 | |||||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, production service resource, service resource, storage service resource | miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables. | analysis, analyze, bayesian, causation, clinical, linear, medical, structure, temporal, network analysis, network, molecule, information refining, gene expression regulation, bioinformatics, statistical package, interaction network, prediction, pathway, inference, biomedical, intervention |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Society of University Surgeons Foundation ; NIDA U54DA021519; NIAID 1R21AI057875-01; NIGMS K08 GM074678-01A1 |
PMID:17644819 | Free, Freely available | nif-0000-33272 | SCR_003447 | SciCrunch Registry | miniTUBA - Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool (miniTUBA), The Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool | 2026-10-24 12:44:59 | 0 | |||||
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iTools Resource Report Resource Website 50+ mentions |
iTools (RRID:SCR_009626) | iTools | data access protocol, data or information resource, data repository, database, service resource, software repository, software resource, storage service resource, web service | An infrastructure for managing of diverse computational biology resources - data, software tools and web-services. The iTools design, implementation and meta-data content reflect the broad NCBC needs and expertise (www.NCBCs.org). | computational neuroscience, data, experiment control, hardware, imaging genomics, information specification, java, loni pipeline, model, ontology, os independent, metadata |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: National Centers for Biomedical Computing has parent organization: Laboratory of Neuro Imaging |
NIH Roadmap for Medical Research ; NCRR U54-RR021813; NIDA U54-DA021519; NCI U54-CA121852; NHGRI U54-HG004028; NIGMS U54-GM072970; NIBIB U54-EB005149; NLM U54-LM008748 |
PMID:18509477 | GNU Lesser General Public License | nlx_155852 | http://www.nitrc.org/projects/itools, http://www.loni.usc.edu/research/software | http://itools.loni.ucla.edu/ | SCR_009626 | SciCrunch Registry | ITools Resourceome, NCBC iTools | 2026-10-24 12:46:15 | 53 | |||
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WEBLOGO Resource Report Resource Website 1000+ mentions |
WEBLOGO (RRID:SCR_010236) | data access protocol, service resource, software resource, web service | Web application to generate sequence logos, graphical representations of patterns within multiple sequence alignment. Designed to make generation of sequence logos easy. Sequence logo generator. | Generate sequence logo, pattern graphical representation, multiple sequence alignment, sequence logo generator, amino acid sequence alignment, nucleic acid sequence alignment, sequence alignment representation, bio.tools |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: University of California at Berkeley; Berkeley; USA |
NHGRI K22 HG00056; NIGMS P50 GM62412; Searle Scholars program |
PMID:15173120 | Free, Available for download, Freely available | nlx_156853, biotools:weblogo_3 | http://weblogo.threeplusone.com/, https://bio.tools/weblogo_3 | SCR_010236 | SciCrunch Registry | WebLogo Version 2.8.2, WebLogo3, WebLogo | 2026-10-24 12:46:18 | 3980 | |||||
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GONUTS Resource Report Resource Website 1+ mentions |
GONUTS (RRID:SCR_000653) | GONUTS | data or information resource, database, narrative resource, wiki | A wiki where users of the Gene Ontology can contribute and view notes about how specific GO terms are used. GONUTS can also be used as a GO term browser, or to search for GO annotations of specific genes from included organisms. The rationale for this wiki is based on helping new users of the gene ontology understand and use it. The GONUTS wiki is not an official product of the the Gene Ontology consortium. The GO consortium has a public wiki at their website, http://wiki.geneontology.org/. Maintaining the ontology involves many decisions to carefully choose terms and relationships. These decisions are currently made at GO meetings and via online discussion using the GO mailing lists and the Sourceforge curator request tracker. However, it is difficult for someone starting to use GO to understand these decisions. Some insight can be obtained by mining the tracker, the listservs and the minutes of GO meetings, but this is difficult, as these discussions are often dispersed and sometimes don't contain the GO accessions in the relevant messages. Wikis provide a way to create collaboratively written documentation for each GO term to explain how it should be used, how to satisfy the true path requirement, and whether an annotation should be placed at a different level. In addition, the wiki pages provide a discussion space, where users can post questions and discuss possible changes to the ontology. GONUTS is currently set up so anyone can view or search, but only registered users can edit or add pages. Currently registered users can create new users, and we are working to add at least one registered user for each participating database (So far we have registered users at EcoliHub, EcoCyc, GOA, BeeBase, SGD, dictyBase, FlyBase, WormBase, TAIR, Rat Genome Database, ZFIN, MGI, UCL and AgBase... | ontology or annotation browser, ontology or annotation search engine, ontology or annotation editor, protein |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology has parent organization: EcoliHub |
NIGMS 1U24 GM077905-01; NIGMS U24 GM088849 |
PMID:22110029 | Free for academic use, The community can contribute to this resource | OMICS_02268, nlx_30164 | SCR_000653 | SciCrunch Registry | Gene Ontology Normal Usage Tracking System, GONUTS wiki | 2026-10-24 12:44:21 | 1 | |||||
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Morpholino Database Resource Report Resource Website 1+ mentions |
Morpholino Database (RRID:SCR_001378) | MODB | data or information resource, data repository, database, service resource, storage service resource | Central database to house data on morpholino screens currently containing over 700 morpholinos including control and multiple morpholinos against the same target. A publicly accessible sequence-based search opens this database for morpholinos against a particular target for the zebrafish community. Morpholino Screens: They set out to identify all cotranslationally translocated genes in the zebrafish genome (Secretome/CTT-ome). Morpholinos were designed against putative secreted/CTT targets and injected into 1-4 cell stage zebrafish embryos. The embryos were observed over a 5 day period for defects in several different systems. The first screen examined 184 gene targets of which 26 demonstrated defects of interest (Pickart et al. 2006). A collaboration with the Verfaillie laboratory examined the knockdown of targets identified in a comparative microarray analysis of hematopoietic stem cells demonstrating how microarray and morpholino technologies can be used in conjunction to enrich for defects in specific developmental processes. Currently, many collaborations are underway to identify genes involved in morphological, kidney, skin, eye, pigment, vascular and hematopoietic development, lipid metabolism and more. The screen types referred to in the search functions are the specific areas of development that were examined during the various screens, which include behavior, general morphology, pigmentation, toxicity, Pax2 expression, and development of the craniofacial structures, eyes, kidneys, pituitary, and skin. Only data pertaining to specific tests performed are presented. Due to the complexity of this international collaboration and time constraints, not all morpholinos were subjected to all screen types. They are currently expanding public access to the database. In the future we will provide: * Mortality curves and dose range for each morpholino * Preliminary data regarding the effectiveness of each morpholino * Expanded annotation for each morpholino * External linkage of our morpholino sequences to ZFIN and Ensembl. To submit morpholino-knockdown results to MODB please contact the administrator for a user name and password. | morpholino, target mrna, embryonic zebrafish, sequence, target, blast, phenotype, anatomy, development, behavior, morphology, pigmentation, toxicity, pax2 expression, craniofacial structure, eye, kidney, pituitary, skin, name, target name, target sequence, gene target, genetic, mortality, toxicity, defect, function, gene annotation, genome, data analysis service |
uses: Zebrafish Information Network (ZFIN) uses: PATO has parent organization: Mayo Clinic Minnesota; Minnesota; USA |
NIGMS GM63904; NIA CA65493 |
PMID:18179718 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152566 | SCR_001378 | SciCrunch Registry | MODB (MOprholino DataBase) | 2026-10-24 12:44:33 | 1 | |||||
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Dictyostelium discoideum genome database Resource Report Resource Website 100+ mentions |
Dictyostelium discoideum genome database (RRID:SCR_006643) | dictyBase, dictyBase gene name, dictyBase REF, DictyBase | biomaterial supply resource, material resource, organism supplier | Model organism database for the social amoeba Dictyostelium discoideum that provides the biomedical research community with integrated, high quality data and tools for Dictyostelium discoideum and related species. dictyBase houses the complete genome sequence, ESTs, and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome to provide a ''''reference genome'''' in the Amoebozoa clade. They highlight several new features in the present update: (i) new annotations; (ii) improved interface with web 2.0 functionality; (iii) the initial steps towards a genome portal for the Amoebozoa; (iv) ortholog display; and (v) the complete integration of the Dicty Stock Center with dictyBase. The Dicty Stock Center currently holds over 1500 strains targeting over 930 different genes. There are over 100 different distinct amoebozoan species. In addition, the collection contains nearly 600 plasmids and other materials such as antibodies and cDNA libraries. The strain collection includes: * strain catalog * natural isolates * MNNG chemical mutants * tester strains for parasexual genetics * auxotroph strains * null mutants * GFP-labeled strains for cell biology * plasmid catalog The Dicty Stock Center can accept Dictyostelium strains, plasmids, and other materials relevant for research using Dictyostelium such as antibodies and cDNA or genomic libraries. | genome, sequence, est, literature, gene model, functional annotation, reference genome, gene, antibody, cdna, bacteria, dictyostelium discoideum, dictyostelium purpureum, dictyostelium fasciculatum, polysphondylium pallidium, bio.tools |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Textpresso has parent organization: Northwestern University; Illinois; USA has parent organization: Baylor University; Texas; USA has parent organization: University of Cologne; Cologne; Germany is parent organization of: Dictyostelium Discoideum Anatomy Ontology is parent organization of: Dictyostelium Anatomy Ontology is parent organization of: dictyBase - Teaching Tools Using Dictyostelium discoideum |
European Union ; NHGRI HG0022; NIGMS GM087371; NIGMS GM64426 |
PMID:23172289 PMID:21087999 PMID:18974179 PMID:14681427 PMID:16381903 |
biotools:dictybase, nif-0000-20974, SCR_008149, nif-0000-02751, OMICS_03158 | https://bio.tools/dictybase | http://genome.imb-jena.de/dictyostelium/ | SCR_006643 | SciCrunch Registry | dictyBase gene name, dictyBase REF, Dicty, dictyBase, Dictyostelium discoideum | 2026-10-24 12:45:48 | 315 | ||||
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Ligand Expo Resource Report Resource Website |
Ligand Expo (RRID:SCR_006636) | data or information resource, database, resource | An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components. | element, fingerprint, formula, amino acid, aromatic ring, atom, bound, carbon, chemical, component, depot, ligand, molecular, molecule, nitrogen, nucleic acid, nucleotide, pharmaceutical, protein, small molecule, structure, macromolecule, model |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Worldwide Protein Data Bank (wwPDB) has parent organization: Rutgers University; New Jersey; USA has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS ; NIDDK |
PMID:15059838 | nif-0000-21237, OMICS_02751 | http://ligand-depot.rutgers.edu/ | SCR_006636 | SciCrunch Registry | Ligand Depot | 2026-10-24 12:45:49 | 0 | ||||||
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Berkeley Bioinformatics Open-Source Projects Resource Report Resource Website 1+ mentions |
Berkeley Bioinformatics Open-Source Projects (RRID:SCR_006704) | BBOP | data or information resource, portal, software resource, topical portal | The BBOP, located at the Lawrence Berkeley National Labs, is a diverse group of scientific researchers and software engineers dedicated to developing tools and applying computational technologies to solve biological problems. Members of the group contribute to a number of projects, including the Gene Ontology, OBO Foundry, the Phenotypic Quality Ontology, modENCODE, and the Generic Model Organism Database Project. Our group is focused on the development, use, and integration of ontolgies into biological data analysis. Software written or maintained by BBOP is accessible through the site. | ontology, biology, computation, data analysis |
is related to: AmiGO has parent organization: Lawrence Berkeley National Laboratory is parent organization of: Blip: Biomedical Logic Programming is parent organization of: OwlSim is parent organization of: OBO is parent organization of: go-moose is parent organization of: GO Online SQL Environment (GOOSE) |
NHGRI ; NIGMS |
nlx_149171 | SCR_006704 | SciCrunch Registry | Berkeley BOP | 2026-10-24 12:45:50 | 1 | |||||||
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PeptideAtlas Resource Report Resource Website 500+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | data or information resource, data repository, database, service resource, storage service resource | Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database. | proteomics, peptide, mass spectrometry, annotation, eukaryotic, genome, peptide sequence, high-throughput mass spectrometry, ensembl, peptideprophet, protein sequence, blood plasma, protein, eukaryotic cell, dna, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: ProteomeXchange 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: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Ensembl is related to: ProteomeXchange is related to: NIH Data Sharing Repositories is related to: Integrated Manually Extracted Annotation has parent organization: Institute for Systems Biology; Washington; USA |
NCI ; NHGRI ; NIGMS |
PMID:20013378 PMID:23215161 PMID:16381952 PMID:15642101 |
Public, The community can contribute to this resource, Acknowledgement requested | nif-0000-03266, r3d100010889, biotools:peptideatlas | https://bio.tools/peptideatlas, https://doi.org/10.17616/R3BK61 | SCR_006783 | SciCrunch Registry | Peptide Atlas, PeptideAtlas | 2026-10-24 12:45:49 | 511 | ||||
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Chemical Effects in Biological Systems (CEBS) Resource Report Resource Website 10+ mentions |
Chemical Effects in Biological Systems (CEBS) (RRID:SCR_006778) | CEBS | data or information resource, data repository, database, service resource, storage service resource | Repository for toxicogenomics data, including study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. Data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. Data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but study design and phenotypic anchoring data are required.CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Biomedical Investigation Database is another component of CEBS system. used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee. BID has been shared with Health Canada and the US Environmental Protection Agency. | caenorhabditis elegans, chemical study, microarray, genetic alteration, toxicogenomics, environmental health, study design, timeline, clinical chemistry, histopathology, proteomics, chemical, clinical, microarray hybridization, gel image, phenotype, pharmacology, toxicology |
is recommended by: National Library of Medicine has parent organization: National Institute of Environmental Health Sciences |
NIEHS ; NIGMS |
PMID:17962311 | Free, Freely available | nif-0000-02649, r3d100010314 | https://doi.org/10.17616/R3W02M | SCR_006778 | SciCrunch Registry | CEBS, Chemical Effects in Biological Systems (CEBS), Chemical Effects in Biological Systems | 2026-10-24 12:45:49 | 19 | ||||
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REDfly Regulatory Element Database for Drosophilia Resource Report Resource Website 10+ mentions |
REDfly Regulatory Element Database for Drosophilia (RRID:SCR_006790) | REDfly | data or information resource, data repository, database, service resource, storage service resource | Curated collection of known Drosophila transcriptional cis-regulatory modules (CRMs) and transcription factor binding sites (TFBSs). Includes experimentally verified fly regulatory elements along with their DNA sequence, associated genes, and expression patterns they direct. Submission of experimentally verified cis-regulatory elements that are not included in REDfly database are welcome. | transcriptional cis-regulatory module, transcription factor binding site, dna sequence, gene, expression pattern, genome, gene expression, transcription factor, cis-regulatory module, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: Drosophila anatomy and development ontologies is related to: FlyMine has parent organization: University at Buffalo; New York; USA |
NIGMS U24 GM144232; NSF EF0843229 |
PMID:20965965 PMID:18039705 PMID:16303794 |
Acknowledgement requested | OMICS_01870, biotools:redfly, nif-0000-03393 | https://bio.tools/redfly | SCR_006790 | SciCrunch Registry | Regulatory Element Database for Drosophilia, Regulatory Element Database | 2026-10-24 12:45:52 | 15 | ||||
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Swami: The Next Generation Biology Workbench Resource Report Resource Website 1+ mentions |
Swami: The Next Generation Biology Workbench (RRID:SCR_007217) | NGBW | service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. The Next Generation Biology Workbench is a free resource for research and education in Bioinformatics, Genomics, Proteomics, and Phylogenetics. The NGBW is a re-engineering of the Biology Workbench which was designed by Shankar Subramaniam and his group to provide an integrated environment where tools, user data, and public data resources can be easily accessed. The NGBW is designed to be an organic tool that evolves with the needs of the Biomedical research and education communities. The Next Generation Biology Workbench (NGBW) is now available for public use, in its production release. | has parent organization: University of California at San Diego; California; USA | IBM Corporation ; Microsoft Research ; NIGMS 5R01GM073931 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_14257 | http://www.ngbw.org/ | SCR_007217 | SciCrunch Registry | Next Generation Biology Workbench, Swami | 2026-10-24 12:45:54 | 2 | ||||||
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BioModels Resource Report Resource Website 100+ mentions |
BioModels (RRID:SCR_001993) | BIOMD | data or information resource, data repository, database, portal, service resource, storage service resource, topical portal | Repository of mathematical models of biological and biomedical systems. Hosts selection of existing literature based physiologically and pharmaceutically relevant mechanistic models in standard formats. Features programmatic access via Web Services. Each model is curated to verify that it corresponds to reference publication and gives proper numerical results. Curators also annotate components of models with terms from controlled vocabularies and links to other relevant data resources allowing users to search accurately for models they need. Models can be retrieved in SBML format and import/export facilities are being developed to extend spectrum of formats supported by resource. | FAIR sharing, mathematical model, computational model, simulation, kinetic model, annotation, web service, data analysis service, systems biology, biological model, biology, molecular biology, nucleotide sequence, gene expression, protein, gene, dna, rna, genetics, gold standard |
is listed by: 3DVC is listed by: re3data.org is listed by: DataCite is related to: SBML is related to: PathCase Pathways Database System has parent organization: European Bioinformatics Institute is parent organization of: Kinetic Simulation Algorithm Ontology |
BBSRC BB/F010516/1; NIGMS R01 GM070923 |
PMID:20587024 PMID:16381960 |
CC0, Public Domain Dedication, Cf. our terms of use. | nif-0000-02609, r3d100010789 | http://www.ebi.ac.uk/biomodels/ | SCR_001993 | SciCrunch Registry | BioModels Database - A Database of Annotated Published Models, BioModels Database, BioModels | 2026-10-24 12:44:39 | 255 | ||||
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Pathway Commons Resource Report Resource Website 10+ mentions |
Pathway Commons (RRID:SCR_002103) | PC | data access protocol, data or information resource, database, software resource, web service | Database of publicly available pathways from multiple organisms and multiple sources represented in a common language. Pathways include biochemical reactions, complex assembly, transport and catalysis events, and physical interactions involving proteins, DNA, RNA, small molecules and complexes. Pathways were downloaded directly from source databases. Each source pathway database has been created differently, some by manual extraction of pathway information from the literature and some by computational prediction. Pathway Commons provides a filtering mechanism to allow the user to view only chosen subsets of information, such as only the manually curated subset. The quality of Pathway Commons pathways is dependent on the quality of the pathways from source databases. Pathway Commons aims to collect and integrate all public pathway data available in standard formats. It currently contains data from nine databases with over 1,668 pathways, 442,182 interactions,414 organisms and will be continually expanded and updated. (April 2013) | biological pathway, pathway, molecule, biopax, standard exchange format, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: cPath is related to: Biological General Repository for Interaction Datasets (BioGRID) is related to: IntAct is related to: Reactome is related to: MINT is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: Cancer Cell Map is related to: HPRD - Human Protein Reference Database is related to: Integrated Molecular Interaction Database is related to: Pathway Interaction Database is related to: CHEBI is related to: UniProt is related to: PANTHER is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit has parent organization: University of Toronto; Ontario; Canada |
NHGRI P41HG004118; NIGMS 2R01GM070743-06; NIGMS 1T32 GM083937; Cancer Biomedical Informatics Grid |
PMID:21071392 | Free, Freely available | nif-0000-20884, r3d100012731, biotools:PathwayCommons_web_service_API | https://bio.tools/PathwayCommons_web_service_API | SCR_002103 | SciCrunch Registry | 2026-10-24 12:44:40 | 14 | |||||
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MCell Resource Report Resource Website 50+ mentions |
MCell (RRID:SCR_007307) | simulation software, software application, software resource | Software modeling tool for realistic simulation of cellular signaling in complex 3-D subcellular microenvironment in and around living cells. Program that uses spatially realistic 3D cellular models and specialized Monte Carlo algorithms to simulate movements and reactions of molecules within and between cells. | Monte Carlo, simulator, cellular, microphysiology, living, cell, BRAIN Initiative |
is recommended by: BRAIN Initiative is related to: CellOrganizer |
NIGMS P41 GM103712 | Free, Available for download, Freely available | nif-0000-00160 | https://github.com/mcellteam/mcell | SCR_007307 | SciCrunch Registry | Monte Carlo simulator of cellular microphysiology | 2026-10-24 12:45:59 | 62 |
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