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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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YeTFaSCo Resource Report Resource Website 10+ mentions |
YeTFaSCo (RRID:SCR_006893) | YeTFaSCo | service resource, data or information resource, data repository, data analysis service, storage service resource, database, production service resource, analysis service resource | Collection of all available transcription factor (TF) specificities for the yeast Saccharomyces cerevisiae in Position Frequency Matrix (PFM) or Position Weight Matrix (PWM) formats. The specificities are evaluated for quality using several metrics. With this website, you can scan sequences with the motifs to find where potential binding sites lie, inspect precomputed genome-wide binding sites, find which TFs have similar motifs to one you have found, and download the collection of motifs. Submissions are welcome. | transcription factor, binding site, sequence, yeast, motif, gene, genome, protein, protein complex |
is listed by: OMICtools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Ontario Graduate Scholarship awards ; Canadian Institutes of Health Research Operating Grant MOP-490425; Canadian Institutes of Health Research Operating Grant MOP-86705 |
PMID:22102575 | Acknowledgement requested | nlx_151611, OMICS_01861 | SCR_006893 | Yeast Transcription Factor Specificity Compendium, YeTFaSCo: The Yeast Transcription Factor Specificity Compendium | 2026-07-28 09:41:41 | 34 | |||||
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DMAPS - A Database of Multiple Alignments for Protein Structures Resource Report Resource Website |
DMAPS - A Database of Multiple Alignments for Protein Structures (RRID:SCR_007140) | DMAP | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 6, 2016. DMAPS database contains pre-computed multiple structure alignments for protein chains in the Protein Data Bank (PDB). Automated structure alignments have been generated for classified protein families using CE-MC algorithm. Alignments have been built only for those families with at least three members. Currently, multiple structure alignments are available for 3050 SCOP-, 3087 CATH-, 664 ENZYME- and 1707 CE-based families. Users will be able to retrieve multiple alignments for a given PDB chain classified by one of these criteria. | multiple structure alignment, protein, protein family, protein structure | has parent organization: University at Albany; New York; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02755, nlx_154108, SCR_009091 | SCR_007140 | 2026-07-28 09:41:42 | 0 | ||||||||
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BioMANTA Resource Report Resource Website 1+ mentions |
BioMANTA (RRID:SCR_007177) | BioMANTA | research forum portal, disease-related portal, data or information resource, software resource, ontology, controlled vocabulary, topical portal, portal | This project encompasses development of novel biological network analysis methods and infrastructure for querying biological data in a semantically-enabled format, and aims to create a semantic interactome model. Research within the BioMANTA project will focus on computational modelling and analysis, primarily using Semantic Web technologies and Machine Learning methods, of large-scale protein-protein interaction and compound activity networks across a wide variety of species. A range of information such as kinetic activity, tissue expression, and subcellular localization and disease state attributes will be included in the resulting data model. Protein interactions are a fundamental component of biological processes. Many proteins are functional only in multimeric complexes, or require interaction partners to achieve their correct localisation or function. For this reason, the study of protein-protein interaction (PPI) networks has become an area of growing interest in computational biology. Through the use of Semantic Web technologies such as Resource Description Framework (RDF) and Web Ontology Language (OWL), interaction data is modelled to create a knowledge representation in which meaning is vested in the ontology rather than instances of data. Stochastic and computational intelligence methods are applied to this data to infer high coverage networks. Semantic inferencing is used to infer previously unknown and meaningful pathways. Major project components: - The BioMANTA Ontology:- An OWL DL ontology incorporating the PSI-MI Ontology, the NCBI Taxonomy, and elements of BioPax ontology and Gene Ontology (describing subcellular localisation). This allows us to re-use existing ontologies, thereby reducing overheads associated with knowledge acquisition in the ontology development process. We are able to integrate existing public data that contain annotation in these formats. - Data conversion & semantic protein integration:- A set of software components that convert protein-protein databases (DIP, MPact, IntAct, etc.) from PSI-MI XML to RDF compliant with the BioMANTA ontology. These software allow us to make these protein-protein interaction datasets (and more generally, any PSI-MI XML data) semantically available for querying and inference within BioMANTA. - A RDF triple store based on RDF Molecules and the MapReduce architecture:- A proof-of-concept RDF triple store using RDF molecules and Hadoop scale-out architectures. Regular RDF graphs are deconstructed into RDF molecules, which are distributed over distributed compute nodes in the MapReduce architecture, and are subsequently combined to form equivalent RDF graphs. Such an approach makes the distributed SPARQL querying and reasoning on RDF triple stores possible. - A quantitative framework to integrate networks extracted from independent data sources (gene expression, subcellular localization, and ortholog mapping):- The model is multi-layer, with a first layer based on Decision Trees where each Decision tree is built on each dataset independently. The tree nodes are cut using Shannon''s entropy (mutual information); the decision of these independent trees is integrated using logistic regression, and the parameters are optimised using maximum likelihood. Sponsors: This resource is supported by the Pfizer Global Research and Development, the Institute for Molecular Bioscience (IMB), and the University of Queensland, Australia. | biological, network, model, analysis, semantic, interactome, biological, data, development, computational, process, protein, biology, ontology, knowledge, molecule, rdf, framework, subcellular, localization, gene, expression, ortholog, mapping, dataset | has parent organization: University of Queensland; Brisbane; Australia | nif-0000-30183 | SCR_007177 | The Modelling and Analysis of Biological Network Activity | 2026-07-28 09:41:53 | 2 | ||||||||
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BioInfoBank Meta Server Resource Report Resource Website 10+ mentions |
BioInfoBank Meta Server (RRID:SCR_007181) | BioInfoBank | data or information resource, topical portal, portal | This service offers a gateway to well-benchmarked protein structure and function prediction methods. Structural models collected from the prediction servers are assessed using the powerful 3D-jury consensus approach. The Structure Prediction Meta Server provides access to various fold recognition, function prediction and local structure prediction methods. The Server takes the amino acid sequence of the query protein, the reference name for the prediction job, and the E-mail address as input. The E-mail address is used only for notification about errors during the execution of the job. The query sequence and the reference name are placed in the process queue. The Meta Server accepts only sequences, which have not been submitted before. In case of duplicate sequences the second user will be notified with a link to the previous submission. Sequences longer than 800 amino acids are not accepted by some services. The internal SQL database offers the possibility to find any previous jobs processed by the Meta Server using regular expressions addressing field like E-mail, Job Name and the host name, from which the job was initiated. Each server has its own process queuing system managed by the Meta Server. All results of fold recognition servers are translated into uniform formats. The information extracted from the raw output of the servers includes the PDB codes of the hits, the alignments and the similarity (reliability) scores specific for every server. Mapping of the hits to the SCOP and FSSP classifications are made either using known PDB representatives or alignment of the template sequence with the databases of proteins in both classifications. The secondary structure assignments for all hits are taken from the mapped FSSP (red for helices and blue for strands). Underscored amino acids indicate the first residue after an insertion in the template sequence. The Meta server provides translation of the alignments in standard formats like FASTA, PDB or CASP. The Meta Server is coupled to consensus servers. They provide jury predictions based on the results collected from other services. Not all fold recognition servers are used by the jury system. The data stored on the meta server is available through http://meta.bioinfo.pl/data/JOBID/. Jobs older than 2 months are not shown. The Meta Server is only a set of programs aimed to process and manage biological data, while the predictive power of the service comes from (mostly) remote prediction providers. Sponsors: This resource is supported by The BioInfoBank Institute. | server, meta, biology, function, protein, structure, method, model, prediction, 3-dimentional, amino acid, sequence | nif-0000-30180 | http://meta.bioinfo.pl | SCR_007181 | The BioInfoBank Meta Server, BioInfoBank Meta Server | 2026-07-28 09:41:53 | 22 | ||||||||
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CCP4 Resource Report Resource Website 1000+ mentions |
CCP4 (RRID:SCR_007255) | CCP4 | software application, service resource, data analysis software, data or information resource, software resource, data processing software, simulation software, portal | Portal for Macromolecular X-Ray Crystallography to produce and support an integrated suite of programs that allows researchers to determine macromolecular structures by X-ray crystallography, and other biophysical techniques. Used in the education and training of scientists in experimental structural biology for determination and analysis of protein structure. | macromolecular, x-ray, crystallography, biophysical, technique, structural, biology, analysis, protein, Research Complex at Harwell, computational, collaborative, project |
is used by: MoRDa is used by: PDB-REDO is listed by: SoftCite is related to: BALBES is related to: CCP4mg is related to: fragon is related to: ConPlot has parent organization: Science and Technology Facilities Council |
Science and Technology Facilities Council | Free, Available for download, Freely available, Tutorial available | SCR_016709, nif-0000-30238 | SCR_007255 | The Collaborative Computational Project Number 4 in Protein Crystallography, Collaborative Computational Project Number 4 | 2026-07-28 09:41:55 | 4740 | ||||||
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Caenorhabditis Genetics Center Resource Report Resource Website 1000+ mentions |
Caenorhabditis Genetics Center (RRID:SCR_007341) | CGC | cell repository, organism supplier, biomaterial supply resource, material resource | Center that acquires, maintains, and distributes genetic stocks and information about stocks of the small free-living nematode Caenorhabditis elegans for use by investigators initiating or continuing research on this genetic model organism. A searchable strain database, general information about C. elegans, and links to key Web sites of use to scientists, including WormBase, WormAtlas, and WormBook are available. | non-human animal, caenorhabditis elegans, chromosome, database, model, mutant, nematode, nomenclature, model organism, protein, transgenic, web accessible database, genetic stock, germplasm, genotype, FASEB list |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is related to: C. elegans Gene Knockout Consortium is related to: Expression Patterns for C. elegans promoter GFP fusions has parent organization: University of Minnesota Twin Cities; Minnesota; USA |
NIH OD010440 | nif-0000-00240 | https://orip.nih.gov/comparative-medicine/programs/invertebrate-models, http://www.cbs.umn.edu/research/resources/cgc | http://biosci.umn.edu/CGC/, http://www.cgc.cbs.umn.edu | SCR_007341 | 2026-07-28 09:41:44 | 3842 | ||||||
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Olfactory Receptor DataBase Resource Report Resource Website 1+ mentions |
Olfactory Receptor DataBase (RRID:SCR_007830) | ORDB | service resource, data or information resource, data repository, data analysis service, storage service resource, database, production service resource, analysis service resource | Database of vertebrate olfactory receptors genes and proteins. It supports sequencing and analysis of these receptors by providing a comprehensive archive with search tools for this expanding family. The database also incorporates a broad range of chemosensory genes and proteins, including the taste papilla receptors (TPRs), vomeronasal organ receptors (VNRs), insect olfaction receptors (IORs), Caenorhabditis elegans chemosensory receptors (CeCRs), and fungal pheromone receptors (FPRs). ORDB currently houses chemosensory receptors for more than 50 organisms. ORDB contains public and private sections which provide tools for investigators to analyze the functions of these very large gene families of G protein-coupled receptors. It also provides links to a local cluster of databases of related information in SenseLab, and to other relevant databases worldwide. The database aims to house all of the known olfactory receptor and chemoreceptor sequences in both nucleotide and amino acid form and serves four main purposes: * It is a repository of olfactory receptor sequences. * It provides tools for sequence analysis. * It supports similarity searches (screens) which reduces duplicate work. * It provides links to other types of receptor information, e.g. 3D models. The database is accessible to two classes of users: * General public www users have full access to all the public sequences, models and resources in the database. * Source laboratories are the laboratories that clone olfactory receptors and submit sequences in the private or public database. They can search any sequence they deposited to the database against any private or public sequence in the database. This user level is suited for laboratories that are actively cloning olfactory receptors. | fungal, pheromone receptor, gene, chemosensory, chemosensory receptor, g protein-coupled receptor, olfaction receptor, protein, receptor, taste papilla receptor, vomeronasal organ receptor, olfactory receptor, nucleotide, amino acid, chemoreceptor sequence, olfactory receptor sequence, chemoreceptor, sequence |
is used by: NIF Data Federation is listed by: 3DVC is related to: Odor Molecules DataBase is related to: Integrated Manually Extracted Annotation has parent organization: Yale School of Medicine; Connecticut; USA |
Aging | Human Brain Project ; NIMH ; NIA ; NICD ; NINDS ; Multidisciplinary University Research Initiative ; National Aeronautics and Space Administration ; NIDCD RO1 DC 009977; NIDCD P01 DC 04732; NLM G08 LM05583 |
PMID:11752336 PMID:9847223 PMID:9218144 |
Public, Private, Acknowledgement requested, The community can contribute to this resource | nif-0000-03213 | SCR_007830 | Olfactory Receptors Database | 2026-07-28 09:41:54 | 4 | ||||
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Gene3D Resource Report Resource Website 100+ mentions |
Gene3D (RRID:SCR_007672) | Gene3D | service resource, data or information resource, data repository, database, data access protocol, software resource, web service, storage service resource | A large database of CATH protein domain assignments for ENSEMBL genomes and Uniprot sequences. Gene3D is a resource of form studying proteins and the component domains. Gene3D takes CATH domains from Protein Databank (PDB) structures and assigns them to the millions of protein sequences with no PDB structures using Hidden Markov models. Assigning a CATH superfamily to a region of a protein sequence gives information on the gross 3D structure of that region of the protein. CATH superfamilies have a limited set of functions and so the domain assignment provides some functional insights. Furthermore most proteins have several different domains in a specific order, so looking for proteins with a similar domain organization provides further functional insights. Strict confidence cut-offs are used to ensure the reliability of the domain assignments. Gene3D imports functional information from sources such as UNIPROT, and KEGG. They also import experimental datasets on request to help researchers integrate there data with the corpus of the literature. The website allows users to view descriptions for both single proteins and genes and large protein sets, such as superfamilies or genomes. Subsets can then be selected for detailed investigation or associated functions and interactions can be used to expand explorations to new proteins. The Gene3D web services provide programmatic access to the CATH-Gene3D annotation resources and in-house software tools. These services include Gene3DScan for identifying structural domains within protein sequences, access to pre-calculated annotations for the major sequence databases, and linked functional annotation from UniProt, GO and KEGG., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | protein domain, protein, protein superfamily, hidden markov model, structural domain, genome, sequence, domain assignments, protein structure, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian has parent organization: University College London; London; United Kingdom |
NIH ; Wellcome Trust ; European Union FP6 ENFIN LSHG-CT-2003-503265; European Union FP6 ENFIN LSHG-CT-2004-512092; European Union FP6 ENFIN LSHG-CT-2005-518254; DOE DE-AC02-065CH11357 |
PMID:19906693 PMID:18032434 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02877, biotools:gene3d | https://bio.tools/gene3d | SCR_007672 | Gene3D - Structures assigned to Genomes | 2026-07-28 09:42:09 | 272 | ||||
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DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity Resource Report Resource Website |
DNA From The Beginning: AN Animated Primer on the Basics of DNA, Genes, and Heredity (RRID:SCR_008028) | DNAftB | narrative resource, data or information resource, image collection, video resource, topical portal, portal, training material | An animated primer on the basics of DNA, genes, and heredity organized around three key concepts: Classical Genetics, Molecules of Genetics, and Genetic Organization and Control. The science behind each concept is explained by: animation, image gallery, video interviews, problem, biographies, and links. | gene, genetic, chromosome, dna, heredity, human, protein, reverse transcriptase, transcription, translation, transposon, genetics, virus, rna, mutation | has parent organization: Cold Spring Harbor Laboratory | Josiah Macy Jr. Foundation | nif-0000-10208 | SCR_008028 | DNA from the Beginning | 2026-07-28 09:42:16 | 0 | |||||||
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Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | service resource, data or information resource, data repository, database, image collection, d spatial image, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-07-28 09:41:54 | 7 | |||||
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Protein Mutant Database Resource Report Resource Website 1+ mentions |
Protein Mutant Database (RRID:SCR_007878) | PMD | service resource, data or information resource, data repository, database, storage service resource | It provides information on natural and artificial mutants, including random and site-directed ones, for all proteins except members of the globin and immunoglobulin families. The PMD is based on literature, and each entry in the database corresponds to one article which may describe one, several or a number of protein mutants. Each database entry is identified by a serial number and is defined as either natural or artificial, depending on the type of the mutation. For each entry the following are recorded : JOURNAL, TITLE, CROSS-REFERENCE, PROTEIN, N-TERMINAL, CHANGE, FUNCTION, STRUCTURE, STABILITY, etc. CROSS-REFERENCE indicates the code names of the protein given in other databases such as Protein Identification Resources (2). N-TERMINAL shows the N-terminal sequence of five amino acids which may help to show the unambiguous numbering of th e sequence. CHANGE indicates the position and kind of mutations, such as amino acid substitution, insertion and deletion, denoted with a specific notation. Any functional or structural features (FUNCTION, STRUCTURE, STABILITY,etc) observed in the mutant are described immediately after ''CHANGE''. Relative differences in activity and/or stability, in comparison with the wild-type protein, are indicated with symbols (- -),(-),(=),(+) or (+ +). Complete loss of activity is denoted as (0). Data Submission A data submission system was newly prepared in the PMD. We welcome the authors of articles published in academic journals to submit their own mutant data to the PMD. After checking the contents, we will register the data with a unique accession number. | amino acid, artificial, deletion, insertion, mutant, natural, protein, sequence, substitution |
is related to: PredictSNP has parent organization: National Institute of Genetics; Shizuoka; Japan |
SCR_007878 | Protein Mutant Database | 2026-07-28 09:42:14 | 4 | |||||||||
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REBASE Resource Report Resource Website 100+ mentions |
REBASE (RRID:SCR_007886) | REBASE | data or information resource, database | Database of information about restriction enzymes and related proteins containing published and unpublished references, recognition and cleavage sites, isoschizomers, commercial availability, methylation sensitivity, crystal, genome, and sequence data. DNA methyltransferases, homing endonucleases, nicking enzymes, specificity subunits and control proteins are also included. Several tools are available including REBsites, BLAST against REBASE, NEBcutter and REBpredictor. Putative DNA methyltransferases and restriction enzymes, as predicted from analysis of genomic sequences, are also listed. REBASE is updated daily and is constantly expanding. Users may submit new enzyme and/or sequence information, recommend references, or send them corrections to existing data. The contents of REBASE may be browsed from the web and selected compilations can be downloaded by ftp (ftp.neb.com). Additionally, monthly updates can be requested via email., | endonuclease, enzyme, genome, archaeal, bacterial, cleavage, crystal, dna, individual protein family databases, isochizomer, methylation, methyltransferase, modification, protein, recognition, restriction, restriction enzyme, sensitivity, sequence, site, methylase, cleavage site, restriction-modification, blast, FASEB list |
has parent organization: New England Biolabs works with: Webcutter |
New England Biolabs Inc ; NLM LM04971 |
PMID:19846593 PMID:17202163 |
r3d100012171, nif-0000-03391 | http://rebase.neb.com, https://doi.org/10.17616/R3J930 | http://www.neb.com/rebase | SCR_007886 | The Restriction Enzyme Database, Restriction Enzyme Database | 2026-07-28 09:41:55 | 246 | ||||
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iDTI-ESBoost Resource Report Resource Website |
iDTI-ESBoost (RRID:SCR_016720) | iDTI-ESBoost | software application, service resource, simulation software, software resource | Software tool for identification of Drug Target Interaction using Evolutionary and Structural features with Boosting. Used to predict drug-protein interactions. | identification, drug, target, interaction, evolutionary, structural, feature, boost, predict, protein | PMID:29255285 | Free, Freely available | http://farshidrayhan.pythonanywhere.com/iDTI-ESBoost/ | SCR_016720 | identification of Drug Target Interaction using Evolutionary and Structural features with Boosting | 2026-07-28 09:44:22 | 0 | |||||||
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Entrez Resource Report Resource Website 10+ mentions |
Entrez (RRID:SCR_016640) | data or information resource, data access protocol, software resource, web service, portal | Web portal for global query cross database search and retrieval system that provides access to all databases simultaneously with a single query string and user interface. Retrieves nucleotide and protein sequence data, gene centered and genomic mapping information, 3D structures, and references. Covers databases including protein sequence data from PIR-International, PRF, Swiss-Prot, and PDB and nucleotide sequence data from GenBank that includes information from EMBL and DDBJ. | global, query, cross, database, search, retrival, system, database, nucleotide, protein, sequence, data, genomic, mapping, structure, reference |
is affiliated with: PubChem BioAssay is related to: National Library of Medicine has parent organization: NCBI works with: Batch Entrez works with: Biotite |
Free, Freely available | SCR_016640 | 2026-07-28 09:44:20 | 15 | ||||||||||
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OmicsNet Resource Report Resource Website 10+ mentions |
OmicsNet (RRID:SCR_016724) | service resource, data access protocol, software resource, production service resource, web service, analysis service resource | Web based tool to create different types of molecular interaction networks and visually explore them in a three-dimensional (3D) space (genes/proteins, microRNAs, transcription factors or metabolites). | create, molecular, interaction, network, visually, 3D, gene, protein, microRNA, transcription factor, metabolite, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
Natural Sciences and Engineering Research Council of Canada ; Genome Canada ; Canada Research Chairs Program |
PMID:29878180 | Free, Freely available | biotools:omicsnet | https://bio.tools/omicsnet | SCR_016724 | 2026-07-28 09:44:26 | 39 | ||||||
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Clonotator Resource Report Resource Website |
Clonotator (RRID:SCR_016730) | software application, data analysis software, sequence analysis software, data access protocol, software resource, data processing software, alignment software, web service, image analysis software | Web based platform that integrates several bioinformatics tools for screening and annotation of cDNA construct sequences. Translates the nucleotide sequence of the construct into an amino acid sequence, aligns the predicted sequence to a reference database of protein sequences and identifies the best protein and isoform match, annotates any variants present in the construct, and incorporates disease-associated mutations and transcriptomic data. | screening, annotation, cDNA, sequence, amino acid, align, reference, database, protein, disease, mutation, transcriptomic, data | has parent organization: University of California at San Francisco; California; USA | Free, Freely available, Registration required | https://willseylab.com/clonotator/ | SCR_016730 | 2026-07-28 09:44:24 | 0 | |||||||||
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PMI-Byonic Resource Report Resource Website 10+ mentions |
PMI-Byonic (RRID:SCR_016735) | Byonic | software application, software resource, data analysis software, data processing software | Software package for advanced peptide and protein identification by tandem mass spectrometry. Allows to define unlimited number of variable modification type and allows the user to set a separate limit on the number of occurrences of each modification type. | Byonic, Protein Metrics Inc., peptide, protein, identification, mass, spectrometry | NIGMS R21 GM085718 | PMID:23255153 | Commercially available | SCR_016735 | Protein Metrics Inc. Byonic, PMI-Byonic, PMI Byonic, Byonic | 2026-07-28 09:44:22 | 22 | |||||||
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Metascape Resource Report Resource Website 1000+ mentions |
Metascape (RRID:SCR_016620) | service resource, data analysis service, data access protocol, software resource, production service resource, web service, analysis service resource | Web service to analyze gene or protein lists. Provides automated meta analysis tools to understand pathways within a group of orthogonal target-discovery studies. | analyze, gene, protein, list, data, annotate, resource, bio.tools |
is listed by: Debian is listed by: bio.tools |
Free, Freely available | biotools:Metascape | https://bio.tools/Metascape | SCR_016620 | 2026-07-28 09:44:22 | 3483 | ||||||||
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Biostrings Resource Report Resource Website 100+ mentions |
Biostrings (RRID:SCR_016949) | software application, data analysis software, sequence analysis software, software resource, data processing software | Software package for efficient manipulation of biological strings. Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences. | manipulation, biological, string, memory, efficient, container, sequence, set, DNA, RNA, protein |
is used by: riboWaltz is listed by: Bioconductor is related to: R Project for Statistical Computing has parent organization: Stanford University; Stanford; California |
Free, Available for download, Freely available | https://web.stanford.edu/class/bios221/labs/biostrings/lab_1_biostrings.html | SCR_016949 | 2026-07-28 09:44:25 | 167 | |||||||||
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OmicsSIMLA Resource Report Resource Website 1+ mentions |
OmicsSIMLA (RRID:SCR_017011) | software application, simulation software, software toolkit, software resource | Software tool for generating multi omics data with disease status. Simulates genomics (SNPs and copy number variations), epigenomics ( whole genome bisulphite sequencing), transcriptomics ( RNA seq), and proteomics (normalized reverse phase protein array) data at the whole genome level. Available as desktop and web application version. | multi, omics, data, simulator, disease, genomic, epigenomic, transcriptomic, proteomic, genome, sequencing, protein, RNA | is listed by: OMICtools | Ministry of Science and Technology in Taiwan | DOI:10.1101/426510 | Freely available, Available to download, Free | OMICS_31363 | SCR_017011 | 2026-07-28 09:44:30 | 1 |
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