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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Azure Biosystems c600 Imaging System Resource Report Resource Website |
Azure Biosystems c600 Imaging System (RRID:SCR_027952) | AZURE c600 | instrument resource | Benchtop instrument designed for life science research, specifically for imaging, detecting, and quantifying protein and nucleic acids on gels and blots. It enables multi-channel analysis, including laser infrared (IR) fluorescence, RGB visible fluorescence, and chemiluminescence, allowing for multiplexed Western blots. | imaging, detecting, quantifying, protein, nucleic acids, gels, blots | is related to: Azure 600 Western Blot Imaging System | Model_Number_Azure_c600 | SCR_027952 | , Azure c600 Imaging System, Azure c600 Western Blot Imaging System | 2026-02-14 02:10:01 | 0 | ||||||||
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BD Rhapsody Single-Cell Analysis System Resource Report Resource Website 1+ mentions |
BD Rhapsody Single-Cell Analysis System (RRID:SCR_027096) | instrument resource | System allows high-throughput capture of multiomic information from single cells using cartridge workflow and multitier barcoding system. Used for high-throughput, multiomic profiling of single cells. Allows to analyze gene expression at both mRNA and protein levels, as well as other cellular characteristics, using microwell-based system with multitiered barcoding approach.This enables the generation of various next-generation sequencing (NGS) libraries for deeper analysis. | profiling of single cells, analyze gene expression, mRNA, protein, multitiered barcoding, generation of next-generation sequencing libraries, | SCR_027096 | 2026-02-14 02:09:24 | 5 | ||||||||||||
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Orphelia Resource Report Resource Website 1+ mentions |
Orphelia (RRID:SCR_000119) | software application, simulation software, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23,2022. A metagenomic open reading frame (ORF) finding tool for the prediction of protein coding genes in short, environmental DNA sequences with unknown phylogenetic origin. The resource is based on a two-stage machine learning approach that uses linear discriminants to extract features from the ORFs. An artificial neural network then combines the features and computes a gene probability for each ORF fragment. | metagenomic open reading frame, tool, resource, protein, genes, DNA, phyologenetic origin, machine learning, linear discriminates, artificial neural network, computation, scientific computing, fragment | is listed by: OMICtools | PMID:19429689 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01492 | SCR_000119 | 2026-02-15 09:17:52 | 2 | ||||||||
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Wnt homepage Resource Report Resource Website 10+ mentions |
Wnt homepage (RRID:SCR_000662) | Wnt homepage | topical portal, data or information resource, portal | A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year. | wnt signaling, wnt, wnt protein, wnt pathway, signaling, pathway, method, protein, reagent, bibliography | has parent organization: Stanford University; Stanford; California | Cancer | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_156863 | SCR_000662 | the Wnt homepage | 2026-02-15 09:17:58 | 13 | ||||||
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GONUTS Resource Report Resource Website 1+ mentions |
GONUTS (RRID:SCR_000653) | GONUTS | database, data or information resource, 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 | Gene Ontology Normal Usage Tracking System, GONUTS wiki | 2026-02-15 09:17:58 | 1 | |||||
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Cardiovascular Proteomics Center Resource Report Resource Website |
Cardiovascular Proteomics Center (RRID:SCR_000603) | CPC, BUSM CPC | topical portal, data or information resource, portal | The Cardiovascular Proteomics Center is a research center funded by the NIH/NHLBI to analyze and identify proteins that may be modified or created by oxidative stress. The CPC is developing and applying new proteomics methodology and instrumentation to the analysis of known proteins and those yet to be discovered. | protein, cardiovascular, proteomics, heart, oxidative stress, mass spectrometry, biology, clinical | has parent organization: Boston University School of Medicine; Massachusetts; USA | NHLBI N01HV28178-12-0-1 | nlx_149148 | SCR_000603 | BUSM Cardiovascular Proteomics Center, Boston University School of Medicine Cardiovascular Proteomics Center, BU Cardiovascular Proteomics Center | 2026-02-15 09:17:57 | 0 | |||||||
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NEXTDB Resource Report Resource Website 10+ mentions |
NEXTDB (RRID:SCR_004480) | NextDB | expression atlas, data analysis service, database, atlas, service resource, production service resource, data or information resource, analysis service resource | Expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from their expression pattern project and to make the data available to the scientific community. Information available in the current version is as follows: * Map: Visual expression of the relationships among the cosmids, predicted genes and the cDNA clones. * Image: In situ hybridization images that are arranged by their developmental stages. * Sequence: Tag sequences of the cDNA clones are available. * Homology: Results of BLASTX search are available. Users of the data presented on our web pages should not publish the information without our permission and appropriate acknowledgment. Methods are available for: * In situ hybridization on whole mount embryos of C.elegans * Protocols for large scale in situ hybridization on C.elegans larvae | rnai phenotype, homology, blast, fasta, chromosome map, cosmid, gene, cdna clone, genome, in situ hybridization, expressed sequence tag, developmental stage, sequence, embryonic caenorhabditis elegans, chromosome, phenotype, blastx, clone, sequence tag, yac, predicted gene, protein, development, larval caenorhabditis elegans, image collection, experimental protocol, FASEB list |
is related to: Expression Patterns for C. elegans promoter GFP fusions is related to: Expression Patterns for C. elegans promoter GFP fusions has parent organization: National Institute of Genetics; Shizuoka; Japan |
Core Research for Evolutional Science and Technology ; Japan Science and Technology Corporation ; Japanese Ministry of Education Culture Sports Science and Technology MEXT |
Permission required, Acknowledgement required | nlx_46406 | SCR_004480 | Nematode Expression Pattern DataBase | 2026-02-15 09:18:44 | 35 | ||||||
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Stem Cell Commons Resource Report Resource Website 1+ mentions |
Stem Cell Commons (RRID:SCR_004415) | Stem Cell Commons | source code, database, software resource, data set, service resource, storage service resource, data repository, production service resource, data or information resource, analysis service resource | Open source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development. | therapeutic target, blood, stem cell, self-renewal, embryonic stem cell, hematopoietic stem cell, leukemia stem cell, gene, protein, phenotype, therapeutic, annotate, share, analyze, data sharing, statistics, visualize, analyze, microarray, next-generation sequencing, statistics, transcription profiling, genome, genome browser, disease model |
is related to: Galaxy is related to: ISA Infrastructure for Managing Experimental Metadata has parent organization: Harvard Stem Cell Institute |
Normal, Acute Myelogenous Leukemia, Glioblastoma, Primitive Neuroectodermal Tumor, Etc. | PMID:24303302 | Open unspecified license | nlx_42085 | http://bloodprogram.hsci.harvard.edu/ | SCR_004415 | HSCI Blood Genomics, Harvard Stem Cell Institute Blood Genomics, Harvard Stem Cell Institute Blood Program, HSCI Blood Program | 2026-02-15 09:18:42 | 2 | ||||
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NCBI BioSystems Database Resource Report Resource Website 100+ mentions |
NCBI BioSystems Database (RRID:SCR_004690) | BioSystems | data analysis service, database, service resource, storage service resource, production service resource, data repository, data or information resource, analysis service resource | Database that provides access to biological systems and their component genes, proteins, and small molecules, as well as literature describing those biosystems and other related data throughout Entrez. A biosystem, or biological system, is a group of molecules that interact directly or indirectly, where the grouping is relevant to the characterization of living matter. BioSystem records list and categorize components, such as the genes, proteins, and small molecules involved in a biological system. The companion FLink tool, in turn, allows you to input a list of proteins, genes, or small molecules and retrieve a ranked list of biosystems. A number of databases provide diagrams showing the components and products of biological pathways along with corresponding annotations and links to literature. This database was developed as a complementary project to (1) serve as a centralized repository of data; (2) connect the biosystem records with associated literature, molecular, and chemical data throughout the Entrez system; and (3) facilitate computation on biosystems data. The NCBI BioSystems Database currently contains records from several source databases: KEGG, BioCyc (including its Tier 1 EcoCyc and MetaCyc databases, and its Tier 2 databases), Reactome, the National Cancer Institute's Pathway Interaction Database, WikiPathways, and Gene Ontology (GO). It includes several types of records such as pathways, structural complexes, and functional sets, and is desiged to accomodate other record types, such as diseases, as data become available. Through these collaborations, the BioSystems database facilitates access to, and provides the ability to compute on, a wide range of biosystems data. If you are interested in depositing data into the BioSystems database, please contact them. | pathway, disease, gene, protein, small molecule, literature, computation, image, biomarker, drug, structural complex, functional set, biological system, molecule, gold standard, bio.tools |
is listed by: re3data.org is listed by: Debian is listed by: bio.tools is related to: KEGG is related to: NCBI Structure is related to: BioCyc is related to: EcoCyc is related to: MetaCyc is related to: Reactome is related to: Pathway Interaction Database is related to: WikiPathways is related to: Gene Ontology has parent organization: NCBI |
NIH | PMID:19854944 | r3d100011033, biotools:biosystems, nlx_69646 | https://bio.tools/biosystems https://doi.org/10.17616/R31K80 |
SCR_004690 | BioSystems Database, NCBI BioSystems | 2026-02-15 09:18:47 | 118 | |||||
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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) | software application, data visualization software, data processing software, 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 | GenMAPP | 2026-02-15 09:18:54 | 211 | |||||||
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SNPdbe Resource Report Resource Website 1+ mentions |
SNPdbe (RRID:SCR_005190) | SNPdbe | database, service resource, storage service resource, data repository, data or information resource | A database to fill the annotation gap left by the high cost of experimental testing for functional significance of protein variants. It joins related bits of knowledge, currently distributed throughout various databases, into a consistent, easily accessible, and updatable resource. It currently covers over 155,000 protein sequences which come from more than 2,600 organisms. Overall more than one million single amino acid substitutions (SAASs) are referenced consisting of natural variants, SAASs from mutagenesis experiments and sequencing conflicts. SNPdbe offers the following pieces of information (if available) on each SAAS: * Experimentally derived functional and structural impact * Predicted functional effect * Associated disease * Average heterozygosity * Experimental evidence of the nsSNP * Evolutionary conservation of wildtype and mutant amino acid * Link-outs to external databases A convenient webinterface to query SAASs on the following levels is offered: * Protein and gene identifiers and keywords * Disease keywords * Protein sequence on different sequence identity thresholds * Variant identifier (dbSNP rs, SwissVar, PMD) or specific mutant like XposY and specified sequence They offer the possibility to submit protein sequences along with experimentally substantiated mutations in order to predict their functional effect and inclusion into our database. | single amino acid substitution, protein variant, protein, variant, protein sequence, natural variant, mutagenesis, sequencing, mutation |
is listed by: OMICtools has parent organization: ROSTLAB |
PMID:22210871 | Free for academic use, Non-commercial, Commercial use with permission, The community can contribute to this resource | OMICS_00185 | SCR_005190 | SNPdbe - nsSNP database of functional effects, nsSNP database of functional effects | 2026-02-15 09:18:55 | 4 | ||||||
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TIGRFAMS Resource Report Resource Website 100+ mentions |
TIGRFAMS (RRID:SCR_005493) | JCVI TIGRFAMS, TIGRFAM | data or information resource, data set, database | Consists curated multiple sequence alignments, Hidden Markov Models (HMMs) for protein sequence classification, and associated information designed to support automated annotation of (mostly prokaryotic) proteins. Starting with release 10.0, TIGRFAMs models use HMMER3, which provides excellent search speed as well as exquisite search sensitivity. See the "TIGRFAMs Complete Listing" page to review the accession, protein name, model type, and EC number (if assigned) of all models. TIGRFAMs is a member database in InterPro. The HMM libraries and supporting files are available to download and use for free from our FTP site. | sequence alignment, hidden markov model, protein sequence, classification, protein, protein family, sequence homology, sequence, homology, function, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: InterPro is related to: InterPro has parent organization: J. Craig Venter Institute |
PMID:23197656 | Free | nif-0000-03560, OMICS_01700, biotools:tigrfams | https://bio.tools/tigrfams | http://www.tigr.org/TIGRFAMs | SCR_005493 | TIGRFAMs | 2026-02-15 09:18:59 | 135 | ||||
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Synergizer Resource Report Resource Website 1+ mentions |
Synergizer (RRID:SCR_005308) | Synergizer | data analysis service, software resource, data access protocol, web service, service resource, production service resource, analysis service resource | The Synergizer database is a growing repository of gene and protein identifier synonym relationships. This tool facilitates the conversion of identifiers from one naming scheme (a.k.a namespace) to another. The Synergizer is a service for translating between sets of biological identifiers. It can, for example, translate Ensembl Gene IDs to Entrez Gene IDs, or IPI IDs to HGNC gene symbols, and much more. Unlike some other tools for this purpose, The Synergizer is simple and easy to learn. The Synergizer works via a web interface (for users who are not programmers) or through a web service (for programmatic access). | gene, protein, json | has parent organization: University of Toronto; Ontario; Canada | nlx_144380 | SCR_005308 | The Synergizer | 2026-02-15 09:18:56 | 9 | ||||||||
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Genetic Testing Registry Resource Report Resource Website 10+ mentions |
Genetic Testing Registry (RRID:SCR_005565) | GTR | database, service resource, storage service resource, data repository, data or information resource | Central location for voluntary submission of genetic test information by providers including the test''s purpose, methodology, validity, evidence of the test''s usefulness, and laboratory contacts and credentials. GTR aims to advance the public health and research into the genetic basis of health and disease. GTR is accepting registration of clinical tests for Mendelian disorders, complex tests and arrays, and pharmacogenetic tests. These tests may include multiple methods and may include multiple major method categories such as biochemical, cytogenetic, and molecular tests. GTR is not currently accepting registration of tests for somatic disorders, research tests or direct-to-consumer tests. | genetic, gene, clinical, genetic test, condition, phenotype, disease name, trait, drug, protein, analyte, disease, laboratory, molecular, clinical, genetics, people |
lists: MedGen is listed by: OMICtools has parent organization: NCBI |
The community can contribute to this resource | nlx_144654, OMICS_01541 | SCR_005565 | NIH Genetic Testing Registry, GTR: Genetic Testing Registry | 2026-02-15 09:18:59 | 35 | |||||||
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GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | source code, data analysis service, software resource, service resource, production service resource, analysis service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-02-15 09:19:11 | 0 | |||||
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InParanoid: Eukaryotic Ortholog Groups Resource Report Resource Website 100+ mentions |
InParanoid: Eukaryotic Ortholog Groups (RRID:SCR_006801) | InParanoid | data analysis service, database, service resource, production service resource, data or information resource, analysis service resource | Collection of pairwise comparisons between 100 whole genomes generated by a fully automatic method for finding orthologs and in-paralogs between TWO species. Ortholog clusters in the InParanoid are seeded with a two-way best pairwise match, after which an algorithm for adding in-paralogs is applied. The method bypasses multiple alignments and phylogenetic trees, which can be slow and error-prone steps in classical ortholog detection. Still, it robustly detects complex orthologous relationships and assigns confidence values for in-paralogs. The original data sets can be downloaded. | protein, ortholog, genome, drosophila pseudoobscura, duplication, entamoeba histolytica, escherichia colik12, eukaryotic, gasterosteus aculeatus, gene, aedes aegypti, apis mellifera, bos taurus, caenorhabditis remanei, candida glabrata, canis familiaris, ciona intestinalis, cryptococcus neoformans, debaromyces hansenii, dictyostelium discoideum, genomic, homolog, inparalog, kluyveromyces lactis, macaca mulatta, monodelphis domestica, orthology, oryza sativa, outparalog, proteome, tetraodon nigroviridis, xenopus tropicalis, blast, proteome, ortholog cluster, cluster, in-paralog, paralog, automatic clustering, genome comparison, FASEB list | has parent organization: Stockholm University; Stockholm; Sweden | Swedish Research Council ; Karolinska Institutet; Stockholm; Sweden ; Pfizer Corporation |
PMID:19892828 PMID:18055500 PMID:15608241 PMID:11743721 |
Acknowledgement requested | nif-0000-03024 | http://www.cgb.ki.se/inparanoid/ | SCR_006801 | Inparanoid eukaryotic ortholog database | 2026-02-15 09:19:22 | 186 | ||||
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HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site Resource Report Resource Website 1+ mentions |
HAMSTeRS - The Haemophilia A Mutation Structure Test and Resource Site (RRID:SCR_006883) | HAMSTeRS, HADB, HADB/HAMSTeRS, HADB / HAMSTeRS | database, service resource, storage service resource, data repository, data or information resource |
THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2019. Database for those interested in the consequences of Factor VIII genetic variation at the DNA and protein level, it provides access to data on the molecular pathology of haemophilia A. The database presents a review of the structure and function of factor VIII and the molecular genetics of haemophilia A, a real time update of the biostatistics of each parameter in the database, a molecular model of the A1, A2 and A3 domains of the factor VIII protein (based on the crystal structure of caeruloplasmin) and a bulletin board for discussion of issues in the molecular biology of factor VIII. The database is completely updated with easy submission of point mutations, deletions and insertions via e-mail of custom-designed forms. A methods section devoted to mutation detection is available, highlighting issues such as choice of technique and PCR primer sequences. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequences from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Their intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. To submit your mutants to the Haemophilia A Mutation Database email the details. (Refer to Submission Guidelines) |
function, gene, genetic, analysis, bioinformatic, biological, biostatistic, caeruloplasmiin, crystal, haemophilia a, human, murine, porcine, canine, level, molecular, molecule, mutation, nucleic acid, or disease- specific databases, pathology, structural, structure, system-, vitromutagenesis, fviii genetic variation, dna, protein, factor viii, blood-clotting protein, point mutation, deletion, insertion | has parent organization: Imperial College London; London; United Kingdom | Pfizer UK ; MRC |
PMID:9399839 PMID:9016520 PMID:8594555 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21184 | http://europium.csc.mrc.ac.uk/WebPages/Main/main.htm, http://hadb.org.uk/ | SCR_006883 | HAMSTeRS - The Haemophilia A Mutation Structure Test Resource Site, Haemophilia A Mutation Database, Haemophilia A Mutation Structure Test and Resource Site, Haemophilia A Mutation Structure Test Resource Site | 2026-02-15 09:19:37 | 9 | ||||
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FastSemSim Resource Report Resource Website 1+ mentions |
FastSemSim (RRID:SCR_006919) | FastSemSim | software library, software toolkit, software resource | A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | software library, functional similarity, semantic similarity, graphical user interface, gene ontology, annotation, parse, gene, protein |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Padua; Padua; Italy has parent organization: SourceForge |
Open unspecified license - Free for academic use. GNU GPL license. However, This software is currently unpublished work. You must contact us before using it or its results or any work/app. based on top of it in any published work. | nlx_149309 | SCR_006919 | 2026-02-15 09:19:24 | 6 | ||||||||
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PeptideAtlas Resource Report Resource Website 100+ mentions |
PeptideAtlas (RRID:SCR_006783) | PeptideAtlas | database, service resource, storage service resource, data repository, data or information 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 | Peptide Atlas, PeptideAtlas | 2026-02-15 09:19:35 | 479 | ||||
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LifeDB Resource Report Resource Website 1+ mentions |
LifeDB (RRID:SCR_006899) | LifeDB | image collection, data or information resource, database | Database that integrates large-scale functional genomics assays and manual cDNA annotation with bioinformatics gene expression and protein analysis. LifeDB integrates data regarding full length cDNA clones and data on expression of encoded protein and their subcellular localization on mammalian cell line. LifeDB enables the scientific community to systematically search and select genes, proteins as well as cDNA of interest by specific database identifiers as well as gene name. It enables to visualize cDNA clone and subcellular location of proteins. It also links the results to external biological databases in order to provide a broader functional information. LifeDB also provides an annotation pipeline which facilitates an improved mapping of clones to known human reference transcripts from the RefSeq database and the Ensembl database. An advanced web interface enables the researchers to view the data in a more user friendly manner. Users can search using any one of the following search options available both in Search gene and cDNA clones and Search Sub-cellular locations of human proteins: By Keyword, By gene/transcript identifier, By plate name, By clone name, By cellular location. * The Search genes and cDNA clones results include: Gene Name, Ensemble ID, Genomic Region, Clone name, Plate name, Plate position, Classification class, Synonymous SNP''s, Non- synonymous SNP''s, Number of ambiguous positions, and Alignment with reference genes. * The Search sub-cellular locations of human proteins results include: Subcellular location, Gene Name, Ensemble ID, Clone name, True localization, Images, Start tag and End tag. Every result page has an option to download result data (excluding the microscopy images). On click of ''Download results as CSV-file'' link in the result page the user will be given a choice to open or save result data in form of a CSV (Comma Separated Values) file. Later the CSV file can be easily opened using Excel or OpenOffice. | human, protein, gene, cdna clone, subcellular, open reading frame, functional genomics | has parent organization: German Cancer Research Center | BMBF 01GR0101; BMBF 01GR0420; European Union grant 503438 |
PMID:16381901 PMID:14681468 |
nif-0000-03081 | SCR_006899 | 2026-02-15 09:19:23 | 1 |
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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 NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF 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 NIF then you can log in from here to get additional features in NIF 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 NIF 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.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
