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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Parasite genome databases and genome research resources Resource Report Resource Website 1+ mentions |
Parasite genome databases and genome research resources (RRID:SCR_008150) | data or information resource, database, portal, topical portal | This website contains information about the genomic sequence of parasites. It also contains multiple search engines to search six frame translations of parasite nucleotide databases for motifs, parasite protein databases for motifs, and parasite protein databases for keywords and text terms. * Guide to Internet Access to Parasite Genome Information * Guide to web-based analysis tools * Parasite Genome BLAST Server: Search a range of parasite specific nucleotide sequence databases with your own sequence. * Parasite Proteome Keyword Search Facility: Search parasite protein databases for keywords and text terms * Parasite Proteome Motif Search Facility: Search parasite protein databases for motifs * Parasite Six Frame Translation Motif Search Facility: Search six frame translations of parasite nucleotide databases for motifs * Genome computing resources: A list of ftp and gopher sites where genome computing applications and other resources can be found. | genome, genomic, nucleotide, parasite, protein, proteome, sequence, gold standard | has parent organization: European Bioinformatics Institute | nif-0000-20981 | SCR_008150 | Parasite Genome Database | 2026-09-19 12:51:36 | 2 | |||||||||
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Protein Databank Fun Resource Report Resource Website 1+ mentions |
Protein Databank Fun (RRID:SCR_008226) | data analysis software, data processing software, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. PDBfun is a web server for structural and functional analysis of proteins at the residue level. pdbFun gives fast access to the whole Protein Data Bank (PDB) organized as a database of annotated residues. The available data (features) range from solvent exposure to ligand binding ability, location in a protein cavity, secondary structure, residue type, sequence functional pattern, protein domain and catalytic activity. PDBfun is an integrated web tool for querying the PDB at the residue level and for local structural comparison. It integrates knowledge on single residues in protein structures coming from other databases or calculated with available or in-house developed instruments for structural analysis. Each set of different annotations represents a feature. Features are listed in PDBfun main page in orange. Features can be used for building residues selections. | functional, 2d, ability, activity, analysis, binding, catalytic, cavity, chain, cleft, domain, ligand, location, motif, protein, protein structure databases, residue, secondary, sequence, size, solvent, structural, structure, surface | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21315 | SCR_008226 | PDBfun | 2026-09-19 12:51:36 | 2 | |||||||||
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Adaptive Poisson-Boltzmann Solver Resource Report Resource Website 50+ mentions |
Adaptive Poisson-Boltzmann Solver (RRID:SCR_008387) | APBS | software resource | APBS is a software package for modeling biomolecular solvation through solution of the Poisson-Boltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions between molecular solutes in salty, aqueous media. APBS was designed to efficiently evaluate electrostatic properties for such simulations for a wide range of length scales to enable the investigation of molecules with tens to millions of atoms. It also provides implicit solvent models of nonpolar solvation which accurately account for both repulsive and attractive solute-solvent interactions. APBS uses FEtk (the Finite Element ToolKit) to solve the Poisson-Boltzmann equation numerically. FEtk is a portable collection of finite element modeling class libraries written in an object-oriented version of C. It is designed to solve general coupled systems of nonlinear partial differential equations using adaptive finite element methods, inexact Newton methods, and algebraic multilevel methods. | software package, modeling, biomolecular, electrostatic, molecular, dynamics, binding energy, equilibrium, protein, ligand, solvation, kinetics, simulation, finite element |
is listed by: 3DVC is related to: Finite Element Toolkit has parent organization: Washington University in St. Louis; Missouri; USA |
IBM/American Chemical Society ; NPACI/San Diego Supercomputer Center ; W. M. Keck Foundation ; National Biomedical Computation Resource ; NSF ; NIH |
nif-0000-30035 | SCR_008387 | 2026-09-19 12:51:39 | 51 | ||||||||
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Network Analysis, Visualization and Graphing TORonto Resource Report Resource Website 50+ mentions |
Network Analysis, Visualization and Graphing TORonto (RRID:SCR_008373) | NAViGaTOR | d visualization software, data processing software, data visualization software, software application, software resource | A software package for visualizing and analyzing protein-protein interaction networks. NAViGaTOR can query OPHID / I2D - online databases of interaction data - and display networks in 2D or 3D. To improve scalability and performance, NAViGaTOR combines Java with OpenGL to provide a 2D/3D visualization system on multiple hardware platforms. NAViGaTOR also provides analytical capabilities and supports standard import and export formats such as GO and the Proteomics Standards Initiative (PSI). NAViGaTOR can be installed and run on Microsoft Windows, Linux / UNIX, and Mac OS systems. NAViGaTOR is written in Java and uses JOGL (Java bindings for OpenGL) to support scalability, highlighting or suppressing of information, and other advanced graphic approaches. | fly, algorithm, capacity, graphical, graphing, human, interaction, interactome, intersection, mouse, network, node, protein, proteomic, rat, worm, yeast, graphing application, 2d visualization, 3d visualization, visualization, biological network, protein-protein interaction, gene, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Gene Ontology has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Genomics Institute ; Canada Research Chair Program ; Ontario Research Fund Research Excellence ; Canada Foundation for Innovation 12301; Canada Foundation for Innovation 203383 |
PMID:19837718 | Freely-downloadable for academic and not-for-profit institutions | nif-0000-25610, biotools:navigator | https://bio.tools/navigator | SCR_008373 | NAViGaTOR - Network Analysis Visualization and Graphing TORonto, NAViGaTOR - Network Analysis Visualization & Graphing TORonto | 2026-09-19 12:51:38 | 55 | ||||
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Joint Center for Structural Genomics Resource Report Resource Website 50+ mentions |
Joint Center for Structural Genomics (RRID:SCR_008251) | JCSG | institution | The JCSG is a multi-institutional consortium that aims to explore the expanding protein universe to find new challenges and opportunities to significantly contribute to new biology, chemistry and medicine through development of HT approaches to structural genomics. The mission of JCSG is to to operate a robust HT protein structure determination pipeline as a large-scale production center for PSI-2. A major goal is to ensure that innovative high-throughput approaches are developed that advance not only structural genomics, but also structural biology in general, via investigation of large numbers of high-value structures that populate protein fold and family space and by increasing the efficiency of structure determination at substantially reduced cost. The JCSG centralizes each core activity into single dedicated sites, each handling distinct, but interconnected objectives. This unique approach allows each specialized group to focus on its own area of expertise and provides well-defined interfaces among the groups. In addition, this approach addresses the requirements for the scalability needed to process large numbers of targets at a greatly reduced cost per target. JCSG production groups are: - Administrative Core - Bioinformatics Core - Crystallomics Core - Structure Determination Core - NMR Core JCSG is deeply committed to the development of new technologies that facilitate high throughput structural genomics. The areas of development include hardware, software, new experimental methods, and adaptation of existing technologies to advance genome research. In the hardware arena, their commitment is to the development of technologies that accelerate structure solution by increasing throughput rates at every stage of the production pipeline. Therefore, one major area of hardware development has been the implementation of robotics. In the software arena, they have developed enterprise resource software that track success, failures, and sample histories from target selection to PDB deposition, annotation and target management tools, and helper applications aimed at facilitating and automating multiple steps in the pipeline. Sponsors: The Joint Center for Structural Genomics is funded by the National Institute of General Medical Sciences (NIGMS), as part of the second phase of the Protein Structure Initiative (PSI) of the National Institutes of Health (U54 GM074898). | exclusion chromatography, expression, fine-structure spectroscopy, fold, absorption, affinity, bacterial, baculovirus, bioinformatics, biology, biophysical, cell, chemistry, cloning, crystallization, crystallomics, differential scanning calorimetry, diffraction, domain, genomic, gnfuge, growth, hardware, ief gel electrophoresis, macromoleuclar, medicine, microexpression, mouse, nmr, optical density, physicochemical, protein, purification, recombinatorial, robotics, sds-page, sequence, software, structural, structural biology, structure, technology, thermocycler, topoisomerase, tryptic mass spectrometry, uv/vis absorbance scan, x-ray |
has parent organization: University of California at San Diego; California; USA has parent organization: Scripps Research Institute has parent organization: Sanford Burnham Prebys Medical Discovery Institute has parent organization: Stanford University; Stanford; California |
nif-0000-22295, grid.419677.a | https://ror.org/00exr1241 | SCR_008251 | JCSG | 2026-09-19 12:51:37 | 99 | |||||||
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Human Hereditary Diseases of Proteolysis Resource Report Resource Website 1+ mentions |
Human Hereditary Diseases of Proteolysis (RRID:SCR_008344) | data or information resource, disease-related portal, portal, topical portal | This resource has cataloged a total of 80 human hereditary diseases caused by mutations in protease-coding genes, which implies that more than 10% of the human protease genes are involved in human pathologies. They are classified in three groups: loss of function, gain of function, and an heterogeneous group including non-protease homologs (np), putative proteases, and hedgehog proteins with only autoprocessing activity. Type of inheritance is indicated by R (recessive) or D (dominant). | gene, disease, dominant, hereditary, homolog, human, protease, protein, proteolysis, recessive | has parent organization: University of Oviedo; Oviedo; Spain | nif-0000-25562 | SCR_008344 | Diseases of Proteolysis | 2026-09-19 12:51:38 | 2 | |||||||||
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Gene Interaction Extraction from the Literature Resource Report Resource Website 1+ mentions |
Gene Interaction Extraction from the Literature (RRID:SCR_008660) | GIN-IE | software resource | GIN-IE is a high precision system for extracting protein/gene interactions, interaction cue words, and directionality from the literature. Syntax-aware inferences about the roles of the entities are made by using the syntactic and dependency parse tree structures of the sentences. Negation and speculation are frequently occurring language phenomena that modify the factuality of the information contained in text. GIN-IE detects and distinguishes interactions that are extracted from negated or speculative sentences. GIN-IE has been integrated with the NCIBI PubMed daily update and processing pipeline. The extracted interactions are accessible through MimiWeb. | extract, gene, interaction, protein, sentence, structure |
is related to: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
nif-0000-33151 | SCR_008660 | 2026-09-19 12:51:43 | 1 | |||||||||
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Protein Subcellular Location Image Database Resource Report Resource Website |
Protein Subcellular Location Image Database (RRID:SCR_008663) | PSLID | data or information resource, data repository, data set, database, image analysis service, service resource, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 23, 2017. Annotated database of fluorescence microscope images depicting subcellular location proteins with two interfaces: a text and image content search interface, and a graphical interface for exploring location patterns grouped into Subcellular Location Trees. The annotations in PSLID provide a description of sample preparation and fluorescence microscope imaging. |
protein, structure, subcellular, organelle, image, fluorescence microscope, annotation, classify, rank, cluster, subcellular localization, 3d spatial image, 2d spatial image, micrograph, content-based retrieval, green fluorescent protein |
is listed by: 3DVC is listed by: Biositemaps has parent organization: Carnegie Mellon University; Pennsylvania; USA |
Merck Company Foundation ; NIGMS GM075205; NCI R33 CA83219; NSF MCB-8920118 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-33313 | SCR_008663 | PSLID - Protein Subcellular Location Image Database, Protein Subcellular Location Image Database | 2026-09-19 12:51:43 | 0 | ||||||
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Ingenuity Pathway Analysis Resource Report Resource Website 5000+ mentions Rating or validation data |
Ingenuity Pathway Analysis (RRID:SCR_008653) | IPA | pathway analysis tool | A web-based software application that enables users to analyze, integrate, and understand data derived from gene expression, microRNA, and SNP microarrays, metabolomics, proteomics, and RNA-Seq experiments, and small-scale experiments that generate gene and chemical lists. Users can search for targeted information on genes, proteins, chemicals, and drugs, and build interactive models of experimental systems. IPA allows exploration of molecular, chemical, gene, protein and miRNA interactions, creation of custom molecular pathways, and the ability to view and modify metabolic, signaling, and toxicological canonical pathways. In addition to the networks and pathways that can be created, IPA can provide multiple layering of additional information, such as drugs, disease genes, expression data, cellular functions and processes, or a researchers own genes or chemicals of interest. | software, drug, gene, analysis, chemical, metabolic, model, pathway, protein, signal, molecular signaling, genomic, pathway analysis tool |
uses: Ingenuity Pathways Knowledge Base is listed by: Biositemaps is listed by: OMICtools is listed by: SoftCite |
Commercial license | nif-0000-33144, OMICS_00399 | http://www.ingenuity.com/products/ipa, http://www.ingenuity.com/products/ipa/microrna-research | SCR_008653 | QIAGEN Ingenuity Pathway Analysis | 2026-09-19 12:51:43 | 6828 | ||||||
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Quertle: Relationship-Driven Biomedical Search Resource Report Resource Website |
Quertle: Relationship-Driven Biomedical Search (RRID:SCR_008676) | data or information resource, database, disease-related portal, portal, research forum portal, topical portal | Quertle is a biomedical search engine focused on delivering informative results to biomedical researchers using advanced linguistic technologies, along with an in-depth understanding of the biomedical field. Quertle''s friendly interface makes it simple to search and refine results. Using advanced semantics, Quertle finds quality results, not just long lists. And it hods: all of PubMed, a growing number of full-text documents, news, and more. Features: :- Find Relationships, not Just :- Focus on Core Concepts: Since Quertle searches for Relationships, all the terms in your query must be found together in a meaningful way. Thus, Quertle immediately gives you results with more relevance. :- Unleash the Strength of Power Terms: Use Power Terms to search for categories of objects. For instance, you can use Protein to search for any protein, rather than the occurrence of the term, protein. View all Power Terms. :- Search Full-text Documents: The Quertle search engine has been optimized to search full-text documents, including the Material and Methods section (but not the Bibliography). :- Use Real Biology & Chemistry Terms: Quertle recognizes capital TWIST as the transcription factor (not the verb), and capital NO as nitrous oxide(not a negative). So, use proper capitalization in your query, and you won''t be lost in a sea of irrelevant results. :- Look for the Quertle Difference on the Results Page : More relevant results : Easy filtering and breadcrumb tracking : Automatic identification of key concepts : Single-click access to PDFs of full-text documents :Keyword: Biomedical, Search engine, Database, Researcher, Linguistic, Technology, Semantic, Relationship, Protein, Biology, Chemistry, : | all the terms in your query must be found together in a meaningful way. thus, biology, chemistry, chemistry terms: quertle recognizes capital twist as the transcription factor (not the verb), database, if you search for two or more terms, including the material and methods section (but not the bibliography). - use real biology &, linguistic, not just the terms scattered within the same document. - focus on core concepts: since quertle searches for relationships, protein, quertle immediately gives you results with more relevance. - unleash the strength of power terms: use power terms to search for categories of objects. for instance, rather than the occurrence of the term, relationship, researcher, search engine, semantic, technology, use proper capitalization in your query, you can use protein to search for any protein, you will find occurrences of a conceptual relationship | nif-0000-33690 | SCR_008676 | Quertle | 2026-09-19 12:51:43 | 0 | ||||||||||
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Molecular Libraries Program Resource Report Resource Website 10+ mentions |
Molecular Libraries Program (RRID:SCR_008847) | MLP | analysis service resource, data or information resource, material analysis service, organization portal, portal, production service resource, service resource, topical portal | High throughput screening services to identify small molecules that can be optimized as chemical probes to study the functions of genes, cells, and biochemical pathways, along with medicinal chemistry and informatics. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. The NIH Molecular Libraries Initiative NIH is designed to discover small molecules that interact with biologically important proteins and pathways and to provide open access to the bioassay and chemical data generated by its research centers. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. As these HTS Technologies were not previously available to the public sector, many investigators may not be familiar with the components and requirements of high throughput screening. A key challenge is to identify small molecules effective at modulating a given biological process or disease state. The Molecular Libraries Roadmap, through one of its components, the Molecular Libraries Probe Production Centers Network (MLPCN), offers biomedical researchers access to the large-scale screening capacity, along with medicinal chemistry and informatics necessary to identify chemical probes to study the functions of genes, cells, and biochemical pathways. This will lead to new ways to explore the functions of genes and signaling pathways in health and disease. There are two kinds of data that are available to the scientific community through a dedicated database: Chemical Compounds and Bioassay Results (NCBI). Various types of data, including informative records on substances, compound structures, and biologically active properties of small molecules are housed respectively within PubChem''''s three primary databases: PCSubstance, PCCompound, and PCBioAssay. To date, PubChem contains over 11 million substance records, details about approximately 5.5 million unique compound structures with links to bioassay descriptions, relevant literature, references, and assay data points and over 250 bioassays, a good percentage of which were contributed by the pilot phase of the MLP. The deposition will continue during the current MLPCN phase. NIH anticipates that these projects will also facilitate the development of new drugs, by providing early stage chemical compounds that will enable researchers in the public and private sectors to validate new drug targets, which could then move into the drug-development pipeline. This is particularly true for rare diseases, which may not be attractive for development by the private sector. Funding opportunities are available through the site. | molecule, compound, probe, small molecule, high throughput screening, gene, cell, biochemical pathway, drug development, protein, pathway |
is used by: LINCS Information Framework is related to: BARD is related to: NIH Clinical Collection is related to: PubChem has parent organization: National Institutes of Health |
NIH | nlx_146246 | SCR_008847 | Molecular Libraries, Molecular Libraries Initiative | 2026-09-19 12:51:46 | 15 | |||||||
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NetNGlyc Resource Report Resource Website 1000+ mentions |
NetNGlyc (RRID:SCR_001570) | NetNGlyc | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | Server that predicts N-Glycosylation sites in human proteins using artificial neural networks that examine the sequence context of Asn-Xaa-Ser/Thr sequons. NetNGlyc 1.0 is also available as a stand-alone software package, with the same functionality as the service above. Ready-to-ship packages exist for the most common UNIX platforms. | predict, n-glycosylation site, human, protein, neural network, sequence, asn-xaa-ser/thr sequon, glycoprotein, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: CBS Prediction Servers |
Free, Freely available | nlx_153863, biotools:netnglyc | https://bio.tools/netnglyc | SCR_001570 | NetNGlyc Server | 2026-09-19 12:49:43 | 1828 | ||||||
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YinOYang Resource Report Resource Website 100+ mentions |
YinOYang (RRID:SCR_001605) | YinOYang | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | Server that produces neural network predictions for O-beta-GlcNAc attachment sites in eukaryotic protein sequences. This server can also use NetPhos, to mark possible phosphorylated sites and hence identify Yin-Yang sites. YinOYang 1.2 is available as a stand-alone software package, with the same functionality. Ready-to-ship packages exist for the most common UNIX platforms. | neural network, prediction, o-beta-glcnac attachment site, protein sequence, protein, sequence, glycosylation site, proteome, post-translational modification, protein function, glycoprotein, bio.tools |
uses: NetPhos is listed by: bio.tools is listed by: Debian has parent organization: CBS Prediction Servers |
Danish National Research Foundation | PMID:11928486 | Free, Freely available | nlx_153865, biotools:yinoyang | https://bio.tools/yinoyang | SCR_001605 | 2026-09-19 12:49:43 | 118 | |||||
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Clustal Omega Resource Report Resource Website 10000+ mentions |
Clustal Omega (RRID:SCR_001591) | Clustal Omega, Clustalo | alignment software, data processing software, image analysis software, service resource, software application, software resource | Software package as multiple sequence alignment tool that uses seeded guide trees and HMM profile-profile techniques to generate alignments between three or more sequences. Accepts nucleic acid or protein sequences in multiple sequence formats NBRF/PIR, EMBL/UniProt, Pearson (FASTA), GDE, ALN/Clustal, GCG/MSF, RSF. | multiple, sequence, alignment, DNA, RNA, protein, generate, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Clustal W2 is related to: Clustal W2 is related to: Clustal 2 has parent organization: European Bioinformatics Institute has parent organization: University College Dublin; Dublin; Ireland |
Science Foundation Ireland | PMID:21988835 PMID:20439314 DOI:10.1038/msb.2011.75 |
Free, Available for download, Freely available | OMICS_00972, SCR_016062, biotools:clustalo, nlx_153836 | https://sources.debian.org/src/clustalo/, http://www.clustal.org/omega/, http://mobyle.pasteur.fr/cgi-bin/portal.py#forms::clustalO-multialign, https://bio.tools/clustalo, https://sources.debian.org/src/clustalo/ | SCR_001591 | 2026-09-19 12:49:44 | 10580 | |||||
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MatrixDB Resource Report Resource Website 50+ mentions |
MatrixDB (RRID:SCR_001727) | MatrixDB | data or information resource, database, production service resource, service resource | Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions. | extracellular, protein fragment, biomolecule, cation, cleavage, collagen, glycosaminoglycan, human, interaction, laminin, lipid, mammalian, matricryptin, matrikin, matrix, molecule, monomer, mulimerization, multimer, polysaccharide, protein, protein-carbohydrate interaction, protein-protein interaction, recognition, thrombospondin, interactome, extracellular protein, protein-polysaccharide interaction, extracellular interaction, molecular interaction, model organism, inorganic, small molecule-protein, small molecule, extracellular matrix protein, protein-glycosaminoglycan interaction, bio.tools, FASEB list |
is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: IMEx - The International Molecular Exchange Consortium is related to: Gene Ontology is related to: PSI-MI is related to: HPRD - Human Protein Reference Database 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: IntAct has parent organization: Claude Bernard University Lyon 1; Lyon; France |
European Union contract FP7-HEALTH-2007-223411 | PMID:20852260 PMID:19147664 |
THIS RESOURCE IS NO LONGER IN SERVICE | biotools:matrixdb, r3d100010672, nif-0000-10226 | https://bio.tools/matrixdb, https://doi.org/10.17616/R3M03H | http://matrixdb.ibcp.fr/ | SCR_001727 | MatrixDB: Extracellular Matrix Interactions Database, Extracellular Matrix Interactions Database | 2026-09-19 12:49:46 | 95 | |||
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Kidney and Urinary Pathway Knowledge Base Resource Report Resource Website 1+ mentions |
Kidney and Urinary Pathway Knowledge Base (RRID:SCR_001746) | KUPKB | analysis service resource, data analysis service, data or information resource, data repository, data set, production service resource, service resource, storage service resource | A collection of omics datasets (mRNA, proteins and miRNA) that have been extracted from PubMed and other related renal databases, all related to kidney physiology and pathology giving KUP biologists the means to ask queries across many resources in order to aggregate knowledge that is necessary for answering biological questions. Some microarray raw datasets have also been downloaded from the Gene Expression Omnibus and analyzed by the open-source software GeneArmada. The Semantic Web technologies, together with the background knowledge from the domain's ontologies, allows both rapid conversion and integration of this knowledge base. SPARQL endpoint http://sparql.kupkb.org/sparql The KUPKB Network Explorer will help you visualize the relationships among molecules stored in the KUPKB. A simple spreadsheet template is available for users to submit data to the KUPKB. It aims to capture a minimal amount of information about the experiment and the observations made. | kidney, urinary, urine, pathway, molecule, visualizer, gene, protein, mirna, metabolite, mrna, microarray, ortholog, rdf, renal cell, anatomy, animal model, disease, sparql, proteomics, ontology, biomarker, gene expression, physiology, pathology |
is related to: NIDDK Information Network (dkNET) is related to: Gene Expression Omnibus is related to: Gene Ontology is related to: KEGG has parent organization: University of Manchester; Manchester; United Kingdom has parent organization: National Institute of Health and Medical Research; Rennes; France |
Kidney disease | European Union ; FP7 ; ICT-2007.4.4 e-LICO project |
PMID:21624162 | THIS RESOURCE IS NO LONGER IN SERVICE. | nlx_154134 | http://www.e-lico.eu/kupkb | SCR_001746 | Kidney & Urinary Pathway Knowledge Base | 2026-09-19 12:49:46 | 2 | |||
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TANGO Resource Report Resource Website 100+ mentions |
TANGO (RRID:SCR_001770) | TANGO | software resource | A computer algorithm to predict aggregation nucleating regions in proteins as well the effect of mutations and environmental conditions on the aggregation propensity of these regions. | polypeptide chain, polypeptide, peptide, protein, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Center for Genomic Regulation; Barcelona; Spain |
PMID:15361882 | Free, Freely available | biotools:tango, OMICS_03859 | https://bio.tools/tango | SCR_001770 | 2026-09-19 12:49:46 | 136 | ||||||
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BLASTX Resource Report Resource Website 10000+ mentions |
BLASTX (RRID:SCR_001653) | BLASTX | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Web application to search protein databases using a translated nucleotide query. Translated BLAST services are useful when trying to find homologous proteins to a nucleotide coding region. Blastx compares translational products of the nucleotide query sequence to a protein database. Because blastx translates the query sequence in all six reading frames and provides combined significance statistics for hits to different frames, it is particularly useful when the reading frame of the query sequence is unknown or it contains errors that may lead to frame shifts or other coding errors. Thus blastx is often the first analysis performed with a newly determined nucleotide sequence and is used extensively in analyzing EST sequences. This search is more sensitive than nucleotide blast since the comparison is performed at the protein level. | protein, translated nucleotide, blast, nucleotide, expressed sequence tag, sequence, genome, wgs, peptide, alignment, dna |
is listed by: OMICtools is listed by: SoftCite has parent organization: NCBI |
PMID:28902395 PMID:8485583 |
Free, Freely Available | nlx_153933, OMICS_00992 | http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=blastx&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome | SCR_001653 | Translated BLAST, Translated BLAST: blastx | 2026-09-19 12:49:44 | 10411 | |||||
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International Union of Physiological Sciences: Physiome Project Resource Report Resource Website 1+ mentions |
International Union of Physiological Sciences: Physiome Project (RRID:SCR_001760) | data or information resource, portal, topical portal | The Physiome Project is a worldwide public domain effort to provide a computational framework for understanding human and other eukaryotic physiology. It aims to develop integrative models at all levels of biological organization, from genes to the whole organism via gene regulatory networks, protein pathways, integrative cell function, and tissue and whole organ structure/function relations. Additionally, an important goal of the project is to develop applications for teaching physiology. Current projects include the development of: - ontologies to organize biological knowledge and access to databases - markup languages to encode models of biological structure and function in a standard format for sharing between different application programs and for re-use as components of more comprehensive models - databases of structure at the cell, tissue and organ levels - software to render computational models of cell function such as ion channel electrophysiology, cell signaling and metabolic pathways, transport, motility, the cell cycle, etc. in 2 & 3D graphical form - software for displaying and interacting with the organ models which will allow the user to move across all spatial scales Sponsors: This project is supported by the International Union of Physiological Sciences (IUPS), the IEEE Engineering. in Medicine and Biology (EMBS), and the International Federation for Medical and Biological Engineering (IFMBE) | electrophysiology, eukaryotic, framework, function, gene, 3d form, biological, cell, cell cycle, channel, computational, human, ion, metabolic, model, motility, network, organ, organism, pathway, physiology, physiome, protein, public domain, regulatory, signaling, software, structure, tissue, transport | is related to: Physiome Model Repository | Free, Freely available | nif-0000-10266 | http://www.physiome.org.nz/ | SCR_001760 | IUPS Physiome | 2026-09-19 12:49:46 | 2 | |||||||
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Dynamic Brain Platform Resource Report Resource Website 1+ mentions |
Dynamic Brain Platform (RRID:SCR_001754) | DBPF | atlas, bibliography, data or information resource, data repository, data set, database, service resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19. 2022. Platform to promote studies on dynamic principles of brain functions through unifying experimental and computational approaches in cellular, local circuit, global network and behavioral levels. Provides services such as data sets, popular research findings and articles and current developments in field. This site has been archived since FY2019 and is no longer updated. | collaboration, glial cell, interaction, model, network, neuron, neuron-glia network, numerical tool, paper, protein, publish, tool, book, neural dynamics, brain, stimulus, book, conference, presentation, simulation, paper, simulator, experimental stimuli, poster, data sharing |
is related to: INCF Japan Node has parent organization: RIKEN Brain Science Institute |
Free, Freely available | SCR_001812, nif-0000-10262, nif-0000-10377 | https://nimg.neuroinf.jp/ | SCR_001754 | Neuro-Imaging Platform, Dynamic Brain PF | 2026-09-19 12:49:46 | 1 |
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