Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
FunSimMat Resource Report Resource Website 1+ mentions |
FunSimMat (RRID:SCR_002729) | FunSimMat | service resource, data or information resource, data analysis service, database, data access protocol, software resource, production service resource, web service, analysis service resource | FunSimMat is a comprehensive resource of semantic and functional similarity values. It allows ranking disease candidate proteins for OMIM diseases and searching for functional similarity values for proteins (extracted from UniProt), and protein families (Pfam, SMART). FunSimMat provides several different semantic and functional similarity measures for each protein pair using the Gene Ontology annotation from UniProtKB and the Gene Ontology Annotation project at EBI (GOA). There are several search options available: Disease candidate prioritization: * Rank candidate proteins using any OMIM disease entry * Compare a list of proteins to any OMIM disease entry * Compare all human proteins to any OMIM disease entry Functional similarity: * Compare one protein / protein family to a list of proteins / protein families * Compare a list of GO terms to a list of proteins / protein families Semantic similarity: * For a list of GO terms, FunSimMat performs an all-against-all comparison and displays the semantic similarity values. FunSimMat provides an XML-RPC interface for performing automatic queries and processing of the results as well as a RestLike Interface. Platform: Online tool | functional similarity value, protein family, protein similarity, semantic similarity value, similarity value, functional similarity, disease gene candidate prioritization, disease, protein, protein family, disease candidate prioritization, semantic similarity, gene ontology, visualization, annotation, database or data warehouse |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Max-Planck-Institute for Informatics; Saarbrucken; Germany |
German National Genome Research Network 01GR0453; Klinische Forschergruppe KFO 129/1-1; Klinische Forschergruppe KFO 129/1-2; European Union LSHG-CT-2003-503265 |
PMID:19923227 PMID:17932054 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02860 | SCR_002729 | FunSimMat - Functional Similarity Matrix | 2026-07-28 09:40:40 | 1 | |||||
|
Computational Biology Center Resource Report Resource Website 50+ mentions |
Computational Biology Center (RRID:SCR_002877) | training resource, disease-related portal, data or information resource, topical portal, portal | Computational biology research at Memorial Sloan-Kettering Cancer Center (MSKCC) pursues computational biology research projects and the development of bioinformatics resources in the areas of: sequence-structure analysis; gene regulation; molecular pathways and networks, and diagnostic and prognostic indicators. The mission of cBio is to move the theoretical methods and genome-scale data resources of computational biology into everyday laboratory practice and use, and is reflected in the organization of cBio into research and service components ~ the intention being that new computational methods created through the process of scientific inquiry should be generalized and supported as open-source and shared community resources. Faculty from cBio participate in graduate training provided through the following graduate programs: * Gerstner Sloan-Kettering Graduate School of Biomedical Sciences * Graduate Training Program in Computational Biology and Medicine Integral to much of the research and service work performed by cBio is the creation and use of software tools and data resources. The tools that we have created and utilize provide evidence of our involvement in the following areas: * Cancer Genomics * Data Repositories * iPhone & iPod Touch * microRNAs * Pathways * Protein Function * Text Analysis * Transcription Profiling | drug, evolution, experiment, gene, algorithm, bioinformatics, biology, cancer, clinical, computational, diagnostic, genome, human, initiation, kinetics, laboratory, leukemia, ligand, metastasis, microrna, mirna, model, molecular, network, pathway, phenotype, prognostic, progression, protein, regulation, research, resistance, rna, sequence, stem cell, structure, t cell, therapy, treatment, tumor | is parent organization of: TMBETA-GENOME- Annotation of Beta-Barrel Membrane Proteins in Genomic Sequences | Free, Freely available | nif-0000-25560 | SCR_002877 | cBio | 2026-07-28 09:40:33 | 70 | ||||||||
|
Tuschl Laboratory: RNA Molecular Biology Resource Report Resource Website 1+ mentions |
Tuschl Laboratory: RNA Molecular Biology (RRID:SCR_002866) | data or information resource, organization portal, portal, laboratory portal | RNA is not only a carrier of genetic information, but also a catalyst and a guide for sequence-specific recognition and processing of other RNA molecules. This lab investigates the regulatory mechanisms of RNA interference, RNA-mediated translational control, and nuclear pre-mRNA splicing. Classical and combinatorial biochemical techniques are used to analyze the function of the RNA- and protein-components involved in those processes. | genetics, biochemical, biology, catalyst, mechanism, mirna, molecule, process., protein, regulation, rna, sequence, sirna, technique | has parent organization: Rockefeller University; New York; USA | Free, Freely available | nif-0000-25546 | http://www.rockefeller.edu/labheads/tuschl/sirna.html | SCR_002866 | Tuschl Lbaoratory | 2026-07-28 09:40:41 | 5 | |||||||
|
PredictNLS Resource Report Resource Website 10+ mentions |
PredictNLS (RRID:SCR_003133) | PredictNLS | service resource, data analysis service, software resource, production service resource, analysis service resource | Software automated tool for analysis and determination of Nuclear Localization Signals (NLS). Predicts that your protein is nuclear or finds out whether your potential NLS is found in our database. The program also compiles statistics on the number of nuclear/non-nuclear proteins in which your potential NLS is found. Finally, proteins with similar NLS motifs are reported, and the experimental paper describing the particular NLS are given. | bio.tools, nuclear localization signal, protein, protein sequence |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: ROSTLAB has parent organization: Columbia University; New York; USA |
DOI:10.1093/embo-reports/kvd092 | Free, Available for download, Freely available | nif-0000-31416, OMICS_01633, SCR_008553, biotools:predictnls | https://www.rdocumentation.org/packages/propagate/versions/1.0-4/topics/predictNLS | SCR_003133 | Prediction and Analysis of Nuclear Localization Signals | 2026-07-28 09:40:36 | 30 | |||||
|
I2D Resource Report Resource Website 10+ mentions |
I2D (RRID:SCR_002957) | I2D | service resource, data or information resource, data analysis service, database, production service resource, analysis 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 | Interologous Interaction Database, OPHID, I2D - Interologous Interaction Database | 2026-07-28 09:40:42 | 23 | ||||
|
MultiLoc Resource Report Resource Website 10+ mentions |
MultiLoc (RRID:SCR_003151) | MultiLoc | service resource, data analysis service, software resource, production service resource, analysis service resource | An extensive high-performance subcellular protein localization prediction system that incorporates phylogenetic profiles and Gene Ontology terms to yield higher accuracies compared to its previous version. Moreover, it outperforms other prediction systems in two benchmarks studies. A downloadable version of MultiLoc2 for local use is also available. | subcellular localization, protein, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tubingen; Tubingen; Germany |
PMID:19723330 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01628, biotools:multiloc2 | https://bio.tools/multiloc2 | SCR_003151 | 2026-07-28 09:40:37 | 40 | ||||||
|
Database of Interacting Proteins (DIP) Resource Report Resource Website 100+ mentions |
Database of Interacting Proteins (DIP) (RRID:SCR_003167) | DIP | service resource, data or information resource, data repository, data analysis service, storage service resource, database, production service resource, analysis 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 | , Database of Interacting Proteins, DIP, Database of Interacting Proteins (DIP) | 2026-07-28 09:40:37 | 153 | ||||
|
DIALIGN Resource Report Resource Website 10+ mentions |
DIALIGN (RRID:SCR_003041) | DIALIGN | service resource, data analysis service, data access protocol, software resource, production service resource, web service, analysis service resource | Tool for multiple sequence alignment using various sources of external information that is particularly useful to detect local homologies in sequences with low overall similarity. While standard alignment methods rely on comparing single residues and imposing gap penalties, DIALIGN constructs pairwise and multiple alignments by comparing entire segments of the sequences. No gap penalty is used. This approach can be used for both global and local alignment, but it is particularly successful in situations where sequences share only local homologies. Several versions of DIALIGN are available online at GOBICS, http://dialign.gobics.de/ | dna, protein, sequence alignment, sequence, alignment, fasta, genome, genomic sequence, homology, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Bielefeld University; North Rhine-Westphalia; Germany |
PMID:15215344 PMID:23620293 DOI:10.1186/1748-7188-3-6 |
Free, Available for download, Freely available | nif-0000-30417, OMICS_24606, OMICS_00973, biotools:dialign-tx | http://dialign.gobics.de/, https://bio.tools/dialign-tx | https://sources.debian.org/src/dialign-tx/ | SCR_003041 | DIALIGN at GOBICS | 2026-07-28 09:40:36 | 43 | ||||
|
PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | narrative resource, data or information resource, database, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, nif-0000-03294, OMICS_01697 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-07-28 09:40:46 | 28 | |||
|
MedScan Resource Report Resource Website 10+ mentions |
MedScan (RRID:SCR_003314) | software application, software resource, data processing software, data acquisition software | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. MedScan is a fast and flexible biomedical information extraction technology. It uses dictionaries to identify individual biomedical terms (proteins, cellular processes, small molecules, diseases, etc) referred to in literature articles, and applies advanced natural language processing techniques to detect the relationships within the article and extract these terms and the relationships; the overall process of detection, identification, extraction and assembling, is termed Information Harvesting. Information extracted by MedScan represents the multiple aspects of protein function, including protein modification, cellular localization, protein-protein interactions, gene expression regulation, molecular transport and synthesis, as well as association with diseases, and regulation of various cellular processes. This scope can be broadened by modifying information extraction rules and the dictionaries. Dictionaries can be assembled on any topic or area that is represented in the literature you wish to harvest. High-throughput data generation methodologies like microarray gene expression require new approaches for gathering information for data analysis. For the best results, computational approaches used for high-throughput data analysis require that biological information from the literature be a coherent and integrated part of the analysis software itself. Pathway Studio meets this challenge through its MedScan Technology and underlying ResNet database. All editions of Pathway Studio contain MedScan Technology to harvest information from the literature and to save this information in the Pathway Studio ResNet database ready for data analysis. MedScan is more than a web search engine. Indeed, the output of a Google search can be channeled into MedScan for example. Web searches, like Google, are excellent at finding items as a result of a query. A quick look at the output list usually locates the item for which you are looking. This approach however, is not well suited for information and knowledge gathering. Also, once information is gathered, where do you put it for later computational use? MedScan meets this challenge for the area of biomedical literature and biomedical online information. PubMed meets the needs for a central repository of biomedical literature. Researchers can go to PubMed and search for any topic and articles of interest, much like a web type of search. However, just like a web type of search, PubMed also provides a list of all the hits with a link to the articles. If a single article, or even just a few, are sought, this search approach is useful. Alternatively, MedScan will list all the articles of interest but additionally scans the text for relationships, highlights these relationships in the articles and then lists these relationships and the biological molecules and processes involved in the relationships in separate tables. The tables of relationships can be viewed graphically in Pathway Studio and can be saved into the ResNet database for use in experimental data analysis. | expression, function, article, biological, biomedical, cellular, dictionary, disease, information, literature, localization, medline interfaces, modification, molecule, process, protein, regulation, synthesis, technology, term, transport, FASEB list | PMID:15033866 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21259 | http://www.ariadnegenomics.com/products/medscan/reader/ | SCR_003314 | MedScan | 2026-07-28 09:40:40 | 37 | |||||||
|
NLSdb: a database of nuclear localization signals Resource Report Resource Website 1+ mentions |
NLSdb: a database of nuclear localization signals (RRID:SCR_003273) | NLSdb | service resource, data or information resource, data analysis service, database, production service resource, analysis 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 | NLSdb - a database of nuclear localization signals | 2026-07-28 09:40:45 | 4 | ||||
|
Biological Biochemical Image Database Resource Report Resource Website 10+ mentions |
Biological Biochemical Image Database (RRID:SCR_003474) | BBID | service resource, data or information resource, data repository, image repository, database, image collection, storage service resource | Database of images of putative biological pathways, macromolecular structures, gene families, and cellular relationships. It is of use to those who are working with large sets of genes or proteins using cDNA arrays, functional genomics, or proteomics. The rationale for this collection is that: # Except in a few cases, information on most biological pathways in higher eukaryotes is non-existent, incomplete, or conflicting. # Similar biological pathways differ by tissue context, developmental stages, stimulatory events, or for other complex reasons. This database allows comparisons of different variations of pathways that can be tested empirically. # The goal of this database is to use images created directly by biomedical scientists who are specialists in a particular biological system. It is specifically designed to NOT use average, idealized or redrawn pathways. It does NOT use pathways defined by computer algorithm or information search approaches. # Information on biological pathways in higher eukaryotes generally resides in the images and text of review papers. Much of this information is not easily accessible by current medical reference search engines. # All images are attributable to the original authors. All pathways or other biological systems described are graphic representations of natural systems. Each pathway is to be considered a work in progress. Each carries some degree of error or incompleteness. The end user has the ultimate responsibility to determine the scientific correctness and validity in their particular biological system. Image/pathway submissions are welcome. | eukaryota, gene, gene family, biochemical, biological role, cdna, cdna array, cellular relationship, genomics, macromolecule, protein, proteomics, image, pathway, structure, annotation, cell, macromolecular structure, protein, functional genomics, proteomics | has parent organization: Intramural Research Program | NIH Blueprint for Neuroscience Research | PMID:11099263 | IMAGES MAY NOT BE USED WITHOUT BOTH THE WRITTEN PERMISSION FROM THE ORIGINAL PUBLISHER AND THE BBID DATABASE ADMINISTRATOR., The community can contribute to this resource | nif-0000-00205 | http://bbid.grc.nia.nih.gov/ | SCR_003474 | BBID-Biological Biochemical Image Database | 2026-07-28 09:40:43 | 11 | ||||
|
DTU Center for Biological Sequence Analysis Resource Report Resource Website 1000+ mentions |
DTU Center for Biological Sequence Analysis (RRID:SCR_003590) | CBS, DTU CBS | service resource, data access protocol, software resource, production service resource, web service, analysis service resource | Center for Biological Sequence Analysis of the Technical University of Denmark conducts basic research in the field of bioinformatics and systems biology and directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. A large number of computational methods have been produced, which are offered to others via WWW servers. Several data sets are also available. The center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. The on-line prediction services at CBS are available as interactive input forms. Most of the servers are also available as stand-alone software packages with the same functionality. In addition, for some servers, programmatic access is provided in the form of SOAP-based Web Services. The center also educates engineering students in biotechnology and systems biology and offers a wide range of courses in bioinformatics, systems biology, human health, microbiology and nutrigenomics. | nucleotide, sequence, amino acid, dna, microarray, molecule, immunology, protein function, protein structure, protein, post-translational, whole genome, sequence analysis |
has parent organization: Technical University of Denmark; Lyngby; Denmark is parent organization of: NESbase is parent organization of: O-GLYCBASE is parent organization of: OligoWiz is parent organization of: SignalP |
Danish National Research Foundation ; Danish Research Councils ; Danish Center for Scientific Computing ; Villum Kann Rasmussen Foundation ; Novo Nordisk Foundation ; European Union ; NIH |
nlx_12329 | http://www.cbs.dtu.dk/index.shtml | SCR_003590 | 2026-07-28 09:40:49 | 1434 | |||||||
|
Proteomics Identifications (PRIDE) Resource Report Resource Website 500+ mentions |
Proteomics Identifications (PRIDE) (RRID:SCR_003411) | PRIDE | service resource, data or information resource, data repository, database, storage service resource | Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester. | proteomics, protein, peptide, mass spectrometry, annotation, standard, spectra, protein-protein interaction, amino acid, amino acid sequence, post-translational modification, biomart, bio.tools |
is used by: ProteomeXchange is used by: BioSample Database at EBI is recommended by: NIDDK Information Network (dkNET) is listed by: Biositemaps is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: HUPO Proteomics Standards Initiative is related to: ProteomeXchange has parent organization: European Bioinformatics Institute |
Wellcome Trust WT085949MA; European Union FP7 LSHG-CT-2006-036814; European Union FP7 260558; European Union FP7 262067; European Union FP7 202272; BBSRC BB/I024204/1 |
PMID:23203882 PMID:19662629 |
Free, Available for download, Freely available | nif-0000-03336, biotools:pride, r3d100011515 | https://www.ebi.ac.uk/pride/archive/, https://bio.tools/pride, https://doi.org/10.17616/R3F330 | SCR_003411 | PRoteomics IDEntifications database, PRIDE Archive - proteomics data repository, PRIDE Archive, PRIDE, Proteomics Identifications, Proteomics Identifications (PRIDE), PRoteomics IDEntifications database (PRIDE) | 2026-07-28 09:40:42 | 642 | ||||
|
Honig Lab Resource Report Resource Website |
Honig Lab (RRID:SCR_003410) | Honig Lab | service resource, data set, data or information resource, organization portal, data analysis service, database, software resource, production service resource, laboratory portal, analysis service resource, portal | Laboratory portal, including software, web-based tools, databases and data sets, related to their research that focuses on the development and application of biophysical and bioinformatics methods aimed at understanding the structural and energetic origins of protein-protein, protein-nucleic acid, and protein-membrane interactions. Their work includes fundamental theoretical research, the development of software tools, and applications to problems of biological importance. In this regard they maintain an active collaborative computational and experimental research program on the molecular basis of cell-cell adhesion. Other problems of current interest include protein structure prediction, the organization of protein sequence/structure space, the prediction of protein function based on protein structure, the structural origins of specificity in protein-DNA interactions, RNA function and, more generally, the electrostatic properties of biological macromolecules. | electrostatic, function, adhesion, analysis, biological, biophysical, cell, dna, interaction, macromolecule, membrane, nucleic acid, protein, rna, sequence, specificity, structural, structure, protein structure, protein, protein-protein interaction, protein-nucleic acid interaction, protein-membrane interaction |
is listed by: Biositemaps has parent organization: Columbia University; New York; USA |
nif-0000-33026 | SCR_003410 | Honig Laboratory | 2026-07-28 09:40:47 | 0 | ||||||||
|
Reactome Resource Report Resource Website 1000+ mentions |
Reactome (RRID:SCR_003485) | service resource, data or information resource, data analysis service, database, production service resource, analysis 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 |
Ontario Research Fund ; European Molecular Biology Laboratory ; NHGRI P41 HG003751; European Union FP6 ENFIN LSHG-CT-2005-518254; NIGMS GM080223; NIGMS R01 GM100039 |
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 | Reactome Functional Interaction Network | 2026-07-28 09:40:48 | 4282 | |||||
|
Michigan Molecular Interactions Resource Report Resource Website 1+ mentions |
Michigan Molecular Interactions (RRID:SCR_003521) | MiMI | service resource, data or information resource, data analysis service, database, data access protocol, software resource, production service resource, web service, analysis service resource | MiMi Web gives you an easy to use interface to a rich NCIBI data repository for conducting your systems biology analyses. This repository includes the MiMI database, PubMed resources updated nightly, and text mined from biomedical research literature. The MiMI database comprehensively includes protein interaction information that has been integrated and merged from diverse protein interaction databases and other biological sources. With MiMI, you get one point of entry for querying, exploring, and analyzing all these data. MiMI provides access to the knowledge and data merged and integrated from numerous protein interactions databases and augments this information from many other biological sources. MiMI merges data from these sources with deep integration into its single database with one point of entry for querying, exploring, and analyzing all these data. MiMI allows you to query all data, whether corroborative or contradictory, and specify which sources to utilize. MiMI displays results of your queries in easy-to-browse interfaces and provides you with workspaces to explore and analyze the results. Among these workspaces is an interactive network of protein-protein interactions displayed in Cytoscape and accessed through MiMI via a MiMI Cytoscape plug-in. MiMI gives you access to more information than you can get from any one protein interaction source such as: * Vetted data on genes, attributes, interactions, literature citations, compounds, and annotated text extracts through natural language processing (NLP) * Linkouts to integrated NCIBI tools to: analyze overrepresented MeSH terms for genes of interest, read additional NLP-mined text passages, and explore interactive graphics of networks of interactions * Linkouts to PubMed and NCIBI's MiSearch interface to PubMed for better relevance rankings * Querying by keywords, genes, lists or interactions * Provenance tracking * Quick views of missing information across databases. Data Sources include: BIND, BioGRID, CCSB at Harvard, cPath, DIP, GO (Gene Ontology), HPRD, IntAct, InterPro, IPI, KEGG, Max Delbreuck Center, MiBLAST, NCBI Gene, Organelle DB, OrthoMCL DB, PFam, ProtoNet, PubMed, PubMed NLP Mining, Reactome, MINT, and Finley Lab. The data integration service is supplied under the conditions of the original data sources and the specific terms of use for MiMI. Access to this website is provided free of charge. The MiMI data is queryable through a web services api. The MiMI data is available in PSI-MITAB Format. These files represent a subset of the data available in MiMI. Only UniProt and RefSeq identifiers are included for each interactor, pathways and metabolomics data is not included, and provenance is not included for each interaction. If you need access to the full MiMI dataset please send an email to mimi-help (at) umich.edu. | gene, interaction, molecule, protein, protein interaction, protein-protein interaction |
is related to: MiMI Plugin for Cytoscape has parent organization: National Center for Integrative Biomedical Informatics |
Michigan Center for Biological Information ; National Center for Integrative Biomedical Informatics ; Pfizer ; Medical and Academic Partnerships ; Howard Hughes Medical Institute ; Microsoft Corporation ; NLM R01 LM008106; NIDA U54 DA021519; NSF IIS 0219513 |
PMID:18978014 PMID:17130145 |
nif-0000-00214 | SCR_003521 | 2026-07-28 09:40:45 | 5 | |||||||
|
MiMI Plugin for Cytoscape Resource Report Resource Website 1+ mentions |
MiMI Plugin for Cytoscape (RRID:SCR_003424) | MiMI Plugin | data visualization software, software resource, software application, data processing software | The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways. | protein interaction, network visualization, xquery, interactive database, information refining, molecular interaction, bioinformatics tool, java, protein-protein interaction, interaction network, biological effect, bimolecular, interaction, molecular, network, pathway, protein, visualization, plugin |
is listed by: Biositemaps is related to: Cytoscape is related to: Michigan Molecular Interactions has parent organization: University of Michigan; Ann Arbor; USA has parent organization: National Center for Integrative Biomedical Informatics |
NIH ; NIDA U54 DA021519; NLM R01 LM008106; NCRR P41 RR018627 |
PMID:18812364 | nif-0000-33090 | http://mimiplugin.ncibi.org/index.html | SCR_003424 | Cytoscape Plugin for MiMI, MiMI Plugin - Cytoscape Plugin for MiMI | 2026-07-28 09:40:42 | 1 | |||||
|
GCG/SeqWeb Resource Report Resource Website |
GCG/SeqWeb (RRID:SCR_003454) | GCG SeqWeb, GCG-SeqWeb | software application, narrative resource, data analysis software, data or information resource, standard specification, data processing software, software resource, text-mining software, availability annotation standard, this resource is no longer in service, nif annotation standard | THIS RESOURCE IS NO LONGER IN SERVCE, documented January 28, 2019. Core Facility provides the software and support for computer assisted protein and DNA sequence analysis and database access. The Genetics Computer Group GCG-Wisconsin package is currently available on PBRC's UNIX platform that is accessible via modem or direct connection. The package can be accessed via three interfaces: the command-line interface (UNIX C-shell), the web-based interface (SeqWeb) and the X-Windows based graphics interface (SeqLab). Applications in the package include sequence editing, alignment, comparison, primer design, restriction analysis, mapping, data presentation, database browsing, etc. In addition to local databases, access to remote databases (BLAST) is integrated into the package. The local databases are updated quarterly. Databases available include GenBank, EMBL, PIR-Protein, SWISS-PROT and Restriction Enzymes (REBASE). | bioinformatics, data mining, statistical analysis, dna microarray, molecular modeling, genetic analysis, protein, dna, sequence analysis |
is listed by: Biositemaps has parent organization: University of Hawaii at Manoa |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33361 | http://core.biotech.hawaii.edu/b-gcg.htm | SCR_003454 | SeqWeb GCG, Sequence Analysis Software Package, GCG, Genetics Computer Group | 2026-07-28 09:40:42 | 0 | ||||||
|
Cold Spring Harbor Protocols: Collected Resources - Behavioral Assays Resource Report Resource Website 100+ mentions |
Cold Spring Harbor Protocols: Collected Resources - Behavioral Assays (RRID:SCR_001697) | CSH Protocols - Behavioral Assays | data or information resource, bibliography | A bibliography of published Behavioral Assays by Cold Spring Harbor Protocols. Cold Spring Harbor Protocols is an interdisciplinary journal providing a definitive source of research methods in cell, developmental and molecular biology, genetics, bioinformatics, protein science, computational biology, immunology, neuroscience and imaging. Each monthly issue details multiple essential methods - a mix of cutting-edge and well-established techniques. Newly commissioned protocols and unsolicited submissions are supplemented with articles based on Cold Spring Harbor Laboratorys renowned courses and manuals. All protocols are up-to-date and presented in a consistent, easy-to-follow format. | genetics, bioinformatics, cell, computational biology, development, imaging, immunology, journal, molecular, neuroscience, protein, research, behavioral assay, behavior, ant, honeybee, learning, courtship, larvae, adult, stress, olfactory, aggression, sleep, movement, locomotor, circadian, feeding | has parent organization: Cold Spring Harbor Laboratory | Free, Freely Available | nif-0000-10198 | SCR_001697 | Cold Spring Harbor Protocols - Behavioral Assays | 2026-07-28 09:40:22 | 108 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the SPARC SAWG Resources search. From here you can search through a compilation of resources used by SPARC SAWG and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that SPARC SAWG has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on SPARC SAWG then you can log in from here to get additional features in SPARC SAWG such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into SPARC SAWG you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.