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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BioIE: Extracting Informative Sentences From the Biomedical Literature Resource Report Resource Website 1+ mentions |
BioIE: Extracting Informative Sentences From the Biomedical Literature (RRID:SCR_013464) | data or information resource, software resource, software toolkit, database | BioIE is a rule-based system that extracts informative sentences relating to protein families, their structures, functions and diseases from the biomedical literature. Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall. After uploading source text or retrieving abstracts from MEDLINE, users can extract sentences based on predefined or user-defined template categories. BioIE also provides a brief insight into the syntactic and semantic context of the source-text by looking at word, N-gram and MeSH-term distributions. Important Applications of BioIE are in, for example, annotation of microarray data and of protein databases. | family, function, biomedical, context, disease, distribution, literature, medline interfaces, mesh-term, microarray, n-gram, protein, semantic, structure, syntactic | has parent organization: University of Manchester; Manchester; United Kingdom | nif-0000-21055 | SCR_013464 | BioIE | 2026-02-14 02:02:30 | 2 | |||||||||
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Common Fund Protein Capture Reagents Resource Report Resource Website 1+ mentions |
Common Fund Protein Capture Reagents (RRID:SCR_006570) | Protein Capture Reagents | data or information resource, funding resource, portal, topical portal | Program that is developing new resources and tools to understand the critical role the multitude of cellular proteins play in normal development and health as well as in disease. These resources will support a wide-range of research and clinical applications that will enable the isolation and tracking of proteins of interest and permit their use as diagnostic biomarkers of disease onset and progression. The program is being implemented in phases, with three Funding Opportunity Announcements (FOAs): * FOA 1: Antigen Production (RFA-RM-10-007) To produce human transcription factor antigens for making monoclonal antibodies or other affinity capture reagents; this effort is already underway. * FOA 2: Anti-Transcription Factor Antibodies Production (RFA-RM-10-017) To optimize and scale anti-transcription factor capture reagent production to develop a community antibody resource. * FOA 3: New Reagent Technology Development and Piloting (RFA-RM-10-018) To develop improvements in the reagent production pipeline with regard to quality, utility, cost, and production scalability. To understand what makes a cell function normally and what may go awry in disease, we need better tools and resources, such as renewable protein capture reagents and probes, to study how proteins work in isolation and how they interact with other proteins, carbohydrates, or DNA regions within a cell. Ideally, this resource would allow us to identify and isolate all proteins within cells, in their various forms the so called proteome to ensure broad application in research and clinical studies aimed at understanding, preventing, detecting and treating disease. Existing protein capture reagents, such monoclonal antibodies, have been developed for a number of protein targets, although these represent only a subset of all proteins comprising the human proteome. In addition, many monoclonal antibodies lack the desired level of specificity and do not reliably target only the protein of interest. This is particularly problematic given the multiple forms of any one protein and the broad range of protein types in the body. The Protein Capture Reagents Program is organized as a pilot program using transcription factors as a test case to examine the feasibility and value of generating a community resource of low cost, renewable affinity reagents for all human proteins. The reagents must be specifically designed for high quality and broad experimental utility in order to meet the growing demands of biomedical researchers. Based on what is learned from these funding initiatives, the program may expand to a larger production effort to provide a broad community resource of human protein capture reagents. | protein, reagent, proteome, antigen, anti-transcription factor, antibody, protein capture, transcription factor | has parent organization: NIH Common Fund | nlx_151642 | https://proteincapture.org https://proteincapture.org/reagent_portal/ |
SCR_006570 | Protein Capture Reagents Program, NIH Common Fund Protein Capture Reagents Program, Common Fund Protein Capture Reagents Program | 2026-02-14 02:01:20 | 2 | |||||||
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Plant Organelles Database Resource Report Resource Website 1+ mentions |
Plant Organelles Database (RRID:SCR_006520) | PODB, PODB2 | experimental protocol, data repository, storage service resource, image collection, data or information resource, service resource, video resource, narrative resource, database | Database of images, movies, and protocols to promote a comprehensive understanding of plant organelle dynamics, including organelle function, biogenesis, differentiation, movement, and interactions with other organelles. It consists of 5 individual parts, ''Perceptive Organelles Database'', ''The Organelles Movie Database'', ''The Organellome Database'', ''The Functional Analysis Database'', and ''External Links to other databases and Web pages''. All the data and protocols in ''The Organelle Movie Database'', ''The Organellome Database'' and ''The Functional Analysis Database'' are populated by direct submission of experimentally determined data from plant researchers. Your active contributions by submission of data and protocols to our database would also be appreciated. * Perceptive Organelles Database: This database contains images and movies of organelles in various tissues during different developmental stages in response to environmental stimuli. * Organelles Movie Database: This database contains time-lapse images, Z slices and projection images of organelles in various tissues during different developmental stages, visualized using fluorescent and non-fluorescent probes. * Organellome Database: This database contains images for cellular structures that are composed of organelle images in various tissues during different developmental stages, visualized with fluorescent and non-fluorescent probes. * Functional Analysis Database: This database is a collection of protocols for plant organelle research. * External Links: Access to biological databases. | organelle, developmental stage, environmental stimuli, development, environment, stimulus, biochemical assay, nucleic acid, protein, gene expression, genome mapping, histology, tissue isolation, organelle isolation, plant growth, maintenance, visualization, observation, plant organelle, movement, division, subcellular positioning, behavior, external stimuli, green fluorescent protein, biogenesis, differentiation, interaction |
is related to: Plant Organelles World has parent organization: National Institute for Basic Biology; Okazaki; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT 16085101; Japan Society for the Promotion of Science 228052 |
PMID:21115470 PMID:19755394 PMID:17932059 |
Free for scientific and educational use provided the contributor and the Organellome Database and the Organelles Movie Database are properly credited. If you wish to use commercially, Please contact the contributors of the corresponding images and movies for permission. | nlx_151998, r3d100011300 | https://doi.org/10.17616/R3933R | SCR_006520 | Plant Organelles Database 2 | 2026-02-14 02:01:11 | 7 | ||||
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Electron Microscopy Data Bank at PDBe (MSD-EBI) Resource Report Resource Website 100+ mentions |
Electron Microscopy Data Bank at PDBe (MSD-EBI) (RRID:SCR_006506) | EMDB at PDBe | data repository, storage service resource, data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Repository for electron microscopy density maps of macromolecular complexes and subcellular structures at Protein Data Bank in Europe. Covers techniques, including single-particle analysis, electron tomography, and electron (2D) crystallography. | electron microscopy, density map, macromolecule, complex, subcellular structure, single-particle analysis, electron tomography, electron crystallography, macromolecular complex, structure, protein, protein binding, electron, electron configuration, tomography, microscopy, gold standard |
is used by: DARC - Database for Aligned Ribosomal Complexes is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is related to: EMDataResource.org is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: PDBe - Protein Data Bank in Europe |
NIH | Public | r3d100010562, nlx_149453 | https://doi.org/10.17616/R3HP57 | SCR_006506 | MSD-EBI, Electron Microscopy Data Bank at Protein Data Bank in Europe, Electron Microscopy DataBank, Electron Microscopy Data Bank at PDBe (MSD-EBI), Electron Microscopy Data Bank at PDBe | 2026-02-14 02:01:19 | 144 | |||||
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Gene Expression Database Resource Report Resource Website 50+ mentions |
Gene Expression Database (RRID:SCR_006539) | GXD | data repository, storage service resource, data or information resource, service resource, database | Community database that collects and integrates the gene expression information in MGI with a primary emphasis on endogenous gene expression during mouse development. The data in GXD are obtained from the literature, from individual laboratories, and from large-scale data providers. All data are annotated and reviewed by GXD curators. GXD stores and integrates different types of expression data (RNA in situ hybridization; Immunohistochemistry; in situ reporter (knock in); RT-PCR; Northern and Western blots; and RNase and Nuclease s1 protection assays) and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development. GXD also maintains an index of the literature examining gene expression in the embryonic mouse. It is comprehensive and up-to-date, containing all pertinent journal articles from 1993 to the present and articles from major developmental journals from 1990 to the present. GXD stores primary data from different types of expression assays and by integrating these data, as data accumulate, GXD provides increasingly complete information about the expression profiles of transcripts and proteins in different mouse strains and mutants. GXD describes expression patterns using an extensive, hierarchically-structured dictionary of anatomical terms. In this way, expression results from assays with differing spatial resolution are recorded in a standardized and integrated manner and expression patterns can be queried at different levels of detail. The records are complemented with digitized images of the original expression data. The Anatomical Dictionary for Mouse Development has been developed by our Edinburgh colleagues, as part of the joint Mouse Gene Expression Information Resource project. GXD places the gene expression data in the larger biological context by establishing and maintaining interconnections with many other resources. Integration with MGD enables a combined analysis of genotype, sequence, expression, and phenotype data. Links to PubMed, Online Mendelian Inheritance in Man (OMIM), sequence databases, and databases from other species further enhance the utility of GXD. GXD accepts both published and unpublished data. | endogenous, expression assay, expression data, expression image, gene expression, genes, image, immunohistochemistry, in situ reporter, knock in, mouse, mouse mutant, northern blot, nuclease protection assay, rna in situ hybridization, rnase protection assay, rt-pcr, western blot, endogenous gene expression, mouse development, gene, transcript, protein, annotation, development, embryonic mouse, bio.tools, FASEB list |
is listed by: GUDMAP Ontology is listed by: NIDDK Information Network (dkNET) is listed by: Debian is listed by: bio.tools is related to: VisiGene Image Browser is related to: Mouse Genome Informatics (MGI) is related to: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project is related to: EMAGE Gene Expression Database is related to: aGEM has parent organization: Jackson Laboratory is parent organization of: Adult Mouse Anatomy Ontology is parent organization of: Mouse Anatomical Dictionary Browser |
NICHD HD033745 | PMID:21062809 | Free | nif-0000-01253, biotools:gxd, SCR_017529 | https://bio.tools/gxd | SCR_006539 | Jackson Lab Gene Expression Database | 2026-02-14 02:01:09 | 56 | ||||
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GMD Resource Report Resource Website 100+ mentions |
GMD (RRID:SCR_006625) | GMD | web service, data or information resource, service resource, data access protocol, software resource, database | It facilitates the search for and dissemination of mass spectra from biologically active metabolites quantified using Gas chromatography (GC) coupled to mass spectrometry (MS). Use the Search Page to search for a compound of your interest, using the name, mass, formula, InChI etc. as query input. Additionally, a Library Search service enables the search of user submitted mass spectra within the GMD. In parallel to the library search, a prediction of chemical sub-groups is performed. This approach has reached beta level and a publication is currently under review. Using several sub-group specific Decision Trees (DTs), mass spectra are classified with respect to the presence of the chemical moieties within the linked (unknown) compound. Prediction of functional groups (ms analysis) facilitates the search of metabolites within the GMD by means of user submitted GC-MS spectra consisting of retention index (n-alkanes, if vailable) and mass intensities ratios. In addition, a functional group prediction will help to characterize those metabolites without available reference mass spectra included in the GMD so far. Instead, the unknown metabolite is characterized by predicted presence or absence of functional groups. For power users this functionality presented here is exposed as soap based web services. Functional group prediction of compounds by means of GC-EI-MS spectra using Microsoft analysis service decision trees All currently available trained decision trees and sub-structure predictions provided by the GMD interface. Table describes the functional group, optional use of an RI system, record date of the trained decision tree, number of MSTs with proportion of MSTs linked to metabolites with the functional group present for each tree. Average and standard deviation of the 50-fold CV error, namely the ratio false over correctly sorted MSTs in the trained DT, are listed. The GMD website offers a range of mass spectral reference libraries to academic users which can be downloaded free of charge in various electronic formats. The libraries are constituted by base peak normalized consensus spectra of single analytes and contain masses in the range 70 to 600 amu, while the ubiquitous mass fragments typically generated from compounds carrying a trimethylsilyl-moiety, namely the fragments at m/z 73, 74, 75, 147, 148, and 149, were excluded. | drug, expression, functional, gas chromatography, gene, general chemistry databases, bioinformatic, biological extract, biology, biotechnology, compound, genomic, herbicide, mass spectra, mass spectrometry, metabolism, metabolite, metabolomics, organism, profiling, protein, spectral, system, FASEB list | has parent organization: Max Planck Institute of Molecular Plant Physiology; Golm; Germany | PMID:15613389 PMID:15733837 PMID:18501684 PMID:20526350 |
r3d100011046, nif-0000-21180 | http://csbdb.mpimp-golm.mpg.de/csbdb/gmd/gmd.html https://doi.org/10.17616/R3MC9K |
SCR_006625 | Golm Metabolome Data Base, The Golm Metabolome Database, Golm Metabolome Database | 2026-02-14 02:01:10 | 157 | ||||||
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ESPript 2.2 Resource Report Resource Website 100+ mentions |
ESPript 2.2 (RRID:SCR_006587) | ESPript | data processing software, data analysis service, analysis service resource, production service resource, service resource, software application, software resource | A utility, whose output is a PostScript file of aligned sequences with graphical enhancements. Its main input is an ascii file of pre-aligned sequences. Optional files allow further rendering. The program calculates a similarity score for each residue of the aligned sequences. The output shows: * Secondary Structures * Aligned sequences * Similarities * Accessibility * Hydropathy * User-supplied markers * Intermolecular contacts In addition, similarity score can be written in the bfactor column of a pdb file, to enable direct display of highly conserved areas. You can run ESPript from this server with the HTML interface. It is configured for a maximum of 1,000 sequences. Links to webESPript * ENDscript: you can upload a PDB file or enter a PDB code such as 1M85. The programs DSSP and CNS are executed via the interface, so as to obtain an ESPript figure with a lot of structural information (secondary structure elements, intermolecular contacts). You can also find homologous sequences with a BLAST search, perform multiple sequence alignments with MULTALIN or CLUSTALW and create an image with BOBSCRIPT or MOLSCRIPT to show similarities on your 3D structure. * ProDom: you can enter a sequence identifier to find homologous domains, perform multiple sequence alignments with MULTALIN and click on the link to ESPript. * Predict Protein: you can receive a mail in text (do not use the HTML option when you submit your request in Predict Protein) with aligned sequences and numerous information including secondary structure prediction. Click on a special html link to upload your mail in ESPript. * NPS(at): you can execute the programs BLAST and CLUSTALW to obtain multiple alignments. You can predict secondary structure elements and click on the link to ESPript. This program started in the laboratory of Dr Richard Wade at the Institut de Biologie Structurale, Grenoble. It moved later to the Laboratory of Molecular Biophysics in Oxford, then to the Institut de Pharmacologie et de Biologie Structurale in Toulouse. It is now developed in the Laboratoire de BioCristallographie of Dr Richard Haser, Institut de Biologie et de Chimie des Prot��������ines, Lyon and in the Laboratoire de Biologie Mol��������culaire et de Relations Plantes-Organismes, group of Dr Daniel Kahn, Institut National de la Recherche Agronomique de Toulouse. | postscript, aligned sequence, sequencing, blast, protein | has parent organization: Institute of Biology and Chemistry of Proteins; Lyon; France | PMID:10320398 PMID:12824317 |
Free for academic use, Fee for commercial users, Licenses for accompanying programs used in ENDscript must be requested separately. | nif-0000-30499 | http://genopole.toulouse.inra.fr/ESPript | SCR_006587 | Easy Sequencing in Postscript | 2026-02-14 02:01:09 | 361 | |||||
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Global Proteome Machine Database (GPM DB) Resource Report Resource Website 100+ mentions |
Global Proteome Machine Database (GPM DB) (RRID:SCR_006617) | The GPM | data repository, storage service resource, data processing software, data or information resource, data analysis software, service resource, software application, software resource, database | The Global Proteome Machine Organization was set up so that scientists involved in proteomics using tandem mass spectrometry could use that data to analyze proteomes. The projects supported by the GPMO have been selected to improve the quality of analysis, make the results portable and to provide a common platform for testing and validating proteomics results. The Global Proteome Machine Database was constructed to utilize the information obtained by GPM servers to aid in the difficult process of validating peptide MS/MS spectra as well as protein coverage patterns. This database has been integrated into GPM server pages, allowing users to quickly compare their experimental results with the best results that have been previously observed by other scientists. | mass spectrometry, pattern, peptide, protein, proteome, scientist, spectra, tandem, FASEB list |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases |
r3d100010883, nif-0000-10455 | https://www.thegpm.org/GPMDB/index.html https://researchdata.ands.org.au/gpm-global-proteome-machine-database/11342 https://doi.org/10.17616/R30C90 |
SCR_006617 | GPM, The Global Proteome Machine Organization: Proteomics Database and Open Source Software, Global Proteome Machine Database, GPM DB, The Global Proteome Machine Database, The Global Proteome Machine, Global Proteome Machine Database (GPM DB), The Global Proteome Machine Organization | 2026-02-14 02:01:10 | 258 | |||||||
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Ligand Expo Resource Report Resource Website |
Ligand Expo (RRID:SCR_006636) | data or information resource, database, resource | An integrated data resource for finding chemical and structural information about small molecules bound to proteins and nucleic acids within the structure entries of the Protein Data Bank. Tools are provided to search the PDB dictionary for chemical components, to identify structure entries containing particular small molecules, and to download the 3D structures of the small molecule components in the PDB entry. A sketch tool is also provided for building new chemical definitions from reported PDB chemical components. | element, fingerprint, formula, amino acid, aromatic ring, atom, bound, carbon, chemical, component, depot, ligand, molecular, molecule, nitrogen, nucleic acid, nucleotide, pharmaceutical, protein, small molecule, structure, macromolecule, model |
uses: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) uses: Worldwide Protein Data Bank (wwPDB) has parent organization: Rutgers University; New Jersey; USA has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS ; NIDDK |
PMID:15059838 | nif-0000-21237, OMICS_02751 | http://ligand-depot.rutgers.edu/ | SCR_006636 | Ligand Depot | 2026-02-14 02:01:13 | 0 | ||||||
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Descriptions of Plant Viruses Resource Report Resource Website 10+ mentions |
Descriptions of Plant Viruses (RRID:SCR_006656) | data or information resource, portal, database, topical portal | DPVweb provides a central source of information about viruses, viroids and satellites of plants, fungi and protozoa. Comprehensive taxonomic information, including brief descriptions of each family and genus, and classified lists of virus sequences are provided. The database also holds detailed, curated, information for all sequences of viruses, viroids and satellites of plants, fungi and protozoa that are complete or that contain at least one complete gene. For comparative purposes, it also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA genome. The start and end positions of each feature (gene, non-translated region and the like) have been recorded and checked for accuracy. As far as possible, nomenclature for genes and proteins are standardized within genera and families. Sequences of features (either as DNA or amino acid sequences) can be directly downloaded from the website in FASTA format. The sequence information can also be accessed via client software for PC computers (freely downloadable from the website) that enable users to make an easy selection of sequences and features of a chosen virus for further analyses. The public sequence databases contain vast amounts of data on virus genomes but accessing and comparing the data, except for relatively small sets of related viruses can be very time consuming. The procedure is made difficult because some of the sequences on these databases are incorrectly named, poorly annotated or redundant. The NCBI Reference Sequence project (1) provides a comprehensive, integrated, non-redundant set of sequences, including genomic DNA, transcript (RNA) and protein products, for major research organisms. This now includes curated information for a single sequence of each fully sequenced virus species. While this is a welcome development, it can only deal with complete sequences. An important feature of DPV is the opportunity to access genes (and other features) of multiple sequences quickly and accurately. Thus, for example, it is easy to obtain the nucleotide or amino acid sequences of all the available accessions of the coat protein gene of a given virus species or for a group of viruses. To increase its usefulness further, DPVweb also contains a single representative sequence of all other fully sequenced virus species with an RNA or single-stranded DNA (ssDNA) genome. Sponsors: This site is supported by the Association of Applied Biologists and the Zhejiang Academy of Agricultural Sciences, Hangzhou, People''s Republic of China. | family, fungi, gene, amino acid, comparative, development, dna, genome, genomic, genus, nomenclature, non-translated, nucleotide, organism, plant, product, protein, protozoa, region, rna, satellite, sequence, single, specie, taxonomic, transcript, viral databases, viroid, virus, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-21127, biotools:dpvweb | https://bio.tools/dpvweb | SCR_006656 | DPV | 2026-02-14 02:01:20 | 11 | ||||||||
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InnateDB Resource Report Resource Website 100+ mentions |
InnateDB (RRID:SCR_006714) | InnateDB | data or information resource, database | Publicly available database of the genes, proteins, experimentally-verified interactions and signaling pathways involved in the innate immune response of humans, mice and bovines to microbial infection. The database captures coverage of the innate immunity interactome by integrating known interactions and pathways from major public databases together with manually-curated data into a centralized resource. The database can be mined as a knowledgebase or used with the integrated bioinformatics and visualization tools for the systems level analysis of the innate immune response. Although InnateDB curation focuses on innate immunity-relevant interactions and pathways, it also incorporates detailed annotation on the entire human, mouse and bovine interactomes by integrating data (178,000+ interactions & 3,900+ pathways) from several of the major public interaction and pathway databases. InnateDB also has integrated human, mouse and bovine orthology predictions generated using Ortholgue software. Ortholgue uses a phylogenetic distance-based method to identify possible paralogs in high-throughput orthology predictions. Integrated human and mouse conserved gene order and synteny information has also been determined to provide further support for orthology predictions. InnateDB Capabilities: * View statistics for manually-curated innate immunity relevant molecular interactions. New manually curated interactions are submitted weekly. * Search for genes and proteins of interest. * Search for experimentally-verified molecular interactions by gene/protein name, interaction type, cell type, etc. * Search genes/interactions belonging to 3,900 pathways. * Visualize interactions using an intuitive subcellular localization-based layout in Cerebral. * Upload your own list of genes along with associated gene expression data (from up to 10 experimental conditions) to interactively analyze this data in a molecular interaction network context. Once you have uploaded your data, you will be able to interactively visualize interaction networks with expression data overlaid; carry out Pathway, Gene Ontology and Transcription Factor Binding Site over-representation analyses; construct orthologous interaction networks in other species; and much more. * Access curated interaction data via a dedicated PSICQUIC webservice. | gene, immune response, pathway, protein, signaling pathway, interaction, immune, signaling response, gene, orthology prediction, orthology, ortholg, annotation, interactome, gene expression, molecule, protein-protein interaction, molecular interaction, visualization, nucleic acid-protein, nucleic acid, network, web service, transcription factor binding site, software resource, FASEB list |
is listed by: re3data.org is related to: IMEx - The International Molecular Exchange Consortium is related to: Interaction Reference Index is related to: ConsensusPathDB is related to: IMEx - The International Molecular Exchange Consortium is related to: PSICQUIC Registry is related to: PSICQUIC Registry is related to: Gene Ontology is related to: IntAct has parent organization: Simon Fraser University; British Columbia; Canada has parent organization: University of British Columbia; British Columbia; Canada works with: IMEx - The International Molecular Exchange Consortium |
Microbial infection, Allergy, Asthma | Michael Smith Foundation for Health Research ; AllerGen 12ASI1; AllerGen 12B&B2; Teagasc RMIS6018; European Union PSIMEx project contract FP7-HEALTH-2007-223411 |
PMID:23180781 PMID:18766178 |
Free, Freely available | nif-0000-20808, r3d100010676 | https://doi.org/10.17616/R36S43 | SCR_006714 | A Knowledge Resource for Innate Immunity Interactions and Pathways, InnateDB: Systems Biology of the Innate Immune Response, InnateDB - A Knowledge Resource for Innate Immunity Interactions and Pathways | 2026-02-14 02:01:14 | 496 | |||
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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, analysis service resource, data or information resource, production service resource, service resource, database | 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 | 2026-02-14 02:01:16 | 186 | ||||
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PiMS Resource Report Resource Website 100+ mentions |
PiMS (RRID:SCR_011816) | PiMS | software resource | Software for a Laboratory Information Management System (LIMS) developed to support the unpredictable workflows of Molecular biology and Protein production labs of all sizes. | protein | is listed by: OMICtools | BBSRC ; CCP4 ; Instruct |
PMID:21385349 | Free for academic use | OMICS_01010 | SCR_011816 | Protein Information Management System | 2026-02-14 02:02:27 | 188 | |||||
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JiffyNet Resource Report Resource Website 1+ mentions |
JiffyNet (RRID:SCR_011954) | data analysis service, analysis service resource, production service resource, service resource, software application, software resource, simulation software | Web based instant protein network modeler for newly sequenced species. Web server designed to instantly construct genome scale protein networks using protein sequence data. Provides network visualization, analysis pages and solution for instant network modeling of newly sequenced species. | protein network, protein, network, genome, sequence, pathway annotation, network visualization, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Yonsei University; Seoul; South Korea |
National Research Foundation of Korea ; Next-Generation BioGreen 21 Program |
PMID:23685435 | Free, Freely available | OMICS_01548, biotools:jiffynet | https://bio.tools/jiffynet | SCR_011954 | 2026-02-14 02:02:07 | 1 | ||||||
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Algal Functional Annotation Tool Resource Report Resource Website |
Algal Functional Annotation Tool (RRID:SCR_012034) | Algal Functional Annotation Tool | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | Tools to search gene lists for functional term enrichment as well as to dynamically visualize proteins onto pathway maps. Additionally, integrated expression data may be used to discover similarly expressed genes based on a starting gene of interest. | gene, pathway, visualization, annotation, function, protein family, ontology, protein, genomics |
is listed by: OMICtools is related to: Gene Ontology is related to: KEGG is related to: MetaCyc is related to: Reactome is related to: Pfam is related to: InterPro has parent organization: University of California at Los Angeles; California; USA |
DOE ; NAABB ; IGP ; Air Force Office of Scientific Research |
PMID:21749710 | OMICS_02226 | SCR_012034 | 2026-02-14 02:02:33 | 0 | |||||||
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StatAlign Resource Report Resource Website 1+ mentions |
StatAlign (RRID:SCR_001892) | sequence analysis software, data processing software, data analysis software, software application, software resource | Software package for Bayesian analysis of protein, DNA and RNA sequences. It utilizes multiple alignments, phylogenetic trees and evolutionary parameters to quantify uncertainty in these analyses. It is written in Java. | software package, bayesian, protein, dna, rna, sequencing, java, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
PMID:23335014 | Free, Available for download, Freely available | biotools:StatAlign, OMICS_03743 | https://bio.tools/StatAlign | SCR_001892 | StatAlign 2.0 | 2026-02-14 02:04:45 | 1 | ||||||
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YLoc Resource Report Resource Website 10+ mentions |
YLoc (RRID:SCR_002464) | YLoc | web service, data analysis service, analysis service resource, production service resource, service resource, data access protocol, software resource | An interpretable web server for predicting subcellular localization. In addition to the predicted location, YLoc gives a reasoning why this prediction was made and which biological properties of the protein sequence lead to this prediction. Moreover, a confidence estimate helps users to rate predictions as trustworthy. YLoc+ is able to predict the location of multiple-targeted proteins with high accuracy. The YLoc webserver is also accessible via SOAP. | subcellular localization, protein |
is listed by: OMICtools has parent organization: University of Tubingen; Tubingen; Germany |
PMID:20507917 PMID:20299325 |
Acknowledgement requested | OMICS_01638 | SCR_002464 | Yloc - Interpretable Subcellular Localization Prediction | 2026-02-14 02:04:45 | 36 | ||||||
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ngLOC Resource Report Resource Website 10+ mentions |
ngLOC (RRID:SCR_003150) | ngLOC | data analysis service, analysis service resource, production service resource, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.An n-gram-based Bayesian classifier that predicts subcellular localization of proteins both in prokaryotes and eukaryotes. The downloadable version of this software with source code is freely available for academic use under the GNU General Public License. | subcellular localization, protein, eukaryote, prokaryote, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:22780965 PMID:17472741 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01629, biotools:ngloc | https://bio.tools/ngloc | SCR_003150 | ngLOC - A Bayesian method for predicting protein subcellular localization | 2026-02-14 02:04:46 | 22 | |||||
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FACTA+. Resource Report Resource Website 1+ mentions |
FACTA+. (RRID:SCR_001767) | FACTA+ | data access protocol, software resource, web service, service resource | Text mining tool to discover associations between biomedical concepts from MEDLINE articles. Use the service from your browser or via a Web Service. The whole MEDLINE corpus containing more than 20 million articles is indexed with an efficient text search engine, and it allows you to navigate such associations and their textual evidence in a highly interactive manner - the system accepts arbitrary query terms and displays relevant concepts immediately. A broad range of important biomedical concepts are covered by the combination of a machine learning-based term recognizer and large-scale dictionaries for genes, proteins, diseases, and chemical compounds. There is also a FACTA+ visualization service that can be found here: http://www.nactem.ac.uk/facta-visualizer/ | text mining, gene, protein, disease, symptom, drug, enzyme, compound, biomedical, association, machine learning, chemical, text-mining software, bio.tools |
is listed by: OMICtools is listed by: FORCE11 is listed by: bio.tools is listed by: Debian is related to: MEDLINE has parent organization: National Centre for Text Mining |
JISC | PMID:18772154 | Free, Freely available | biotools:facta_plus, nif-0000-10272, OMICS_01181 | http://refine1-nactem.mc.man.ac.uk/facta/ https://bio.tools/facta_plus |
SCR_001767 | Finding Associated Concepts with Text Analysis | 2026-02-14 02:04:44 | 2 | ||||
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Gene Expression Omnibus (GEO) Resource Report Resource Website 10000+ mentions |
Gene Expression Omnibus (GEO) (RRID:SCR_005012) | GEO | data repository, storage service resource, data or information resource, service resource, database | Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries. | gold standard, genomics, data, repository, microarray, mRNA, DNA, protein, analysis, SAGE, mass spectrometry, dataset |
is used by: ChIPseeker is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is related to: Allen Institute for Brain Science has parent organization: NCBI works with: shinyGEO works with: Drug Gene Budger works with: Signaling Pathways Project works with: GEN3VA |
National Library of Medicine | PMID:23193258 PMID:21097893 PMID:18940857 PMID:17160034 PMID:17099226 PMID:16939800 PMID:16888359 PMID:15608262 PMID:11752295 |
r3d100010283, nif-0000-00142, nlx_96903, OMICS_01030, SCR_007303 | http://www.ncbi.nlm.nih.gov/sites/entrez?db=gds http://www.ncbi.nlm.nih.gov/geo/ https://doi.org/10.17616/R33P44 |
http://www.ncbi.nlm.nih.gov/gds | SCR_005012 | Gene Expression Omnibus (GEO), Entrez GEO DataSets, Gene Expression Data Sets, Gene Expression Omnibus, GEO, NCBI GEO DataSets, GEO DataSets, Gene Expression Omnibus DataSets | 2026-02-14 02:04:28 | 11944 |
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