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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PhosphoSitePlus: Protein Modification Site Resource Report Resource Website 500+ mentions |
PhosphoSitePlus: Protein Modification Site (RRID:SCR_001837) | PSP | portal, knowledge environment resource, data or information resource | A freely accessible on-line systems biology resource devoted to all aspects of protein modification, as well as other post-translational modifications. It provides valuable and unique tools for both cell biologists and mass spectroscopists. PhosphoSite is a human- and mouse-centric database. It includes features such as: viewing the locations of modified residues on molecular models; browsing and searching MS2 records by disease, tissue, and cell line; submitting lists of peptides to identify previously reported genes; searching by sub-cellular localization, treatment, tissues, cell types, cell lines and diseases, and protein types and protein domains; searching for experimentally-verified kinase substrates and viewing preferred substrate motifs; and viewing MS2 spectra for peptides and sites not previously published. | portal, mass spectroscopist, molecular model, mouse, post translational, subcellular localization, protein modification, post-translational modification, protein phosphorylation, protein structure, protein function, ubiquitinylation, acetylation, cellular component, cell type, visualization, data repository, bio.tools, FASEB list |
is listed by: bio.tools is listed by: Debian is related to: Cytoscape is related to: ConsensusPathDB has parent organization: Cell Signaling Technology |
NCI ; NIAAA R44 AA014848; NIGMS R43 GM65768 |
PMID:22135298 | Free, Freely available | biotools:phosphositeplus, nif-0000-10399 | https://bio.tools/phosphositeplus | SCR_001837 | PhosphoSitePlus, PhosphoSite | 2026-08-04 09:40:29 | 903 | ||||
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SPP Resource Report Resource Website 1+ mentions |
SPP (RRID:SCR_001790) | data processing software, software application, software resource, data analysis software | R analysis and processing package for Illumina platform Chip-Seq data. | chip seq data, illummina, r package, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is listed by: SoftCite |
NHGRI U01HG004258; NIGMS R01GM082798; NCRR UL1RR024920 |
DOI:10.1038/nbt.1508 | Free, Available for download, Freely available | OMICS_00425, biotools:spp | https://bio.tools/spp | https://sites.google.com/a/brown.edu/bioinformatics-in-biomed/spp-r-from-chip-seq | SCR_001790 | SPP Package | 2026-08-04 09:40:28 | 9 | ||||
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BioCyc Resource Report Resource Website 500+ mentions |
BioCyc (RRID:SCR_002298) | database, data or information resource | A collection of Pathway/Genome Databases which describes the genome and metabolic pathways of a single organism. The BioCyc collection of Pathway/Genome Databases (PGDBs) provides an electronic reference source on the genomes and metabolic pathways of sequenced organisms. BioCyc PGDBs are generated by software that predicts the metabolic pathway complements of completely sequenced organisms from their genome sequences. They also include the results of a number of other computational inference procedures applied to these genomes, including predictions of which genes code for missing enzymes in metabolic pathways, and predicted operons. The BioCyc Web site provides a suite of software tools for database searching and visualization, for omics data analysis, and for comparative genomics and comparative pathway questions. The databases within the BioCyc collection are organized into tiers according to the amount of manual review and updating they have received. Tier 1 PGDBs have been created through intensive manual efforts, and receive continuous updating. Tier 2 PGDBs were computationally generated by the PathoLogic program, and have undergone moderate amounts of review and updating. Tier 3 PGDBs were computationally generated by the PathoLogic program, and have undergone no review and updating. There are 967 DBs in Tier 3. The downloadable version of BioCyc that includes the Pathway Tools software provides more speed and power than the BioCyc Web site. | database, pathway/genome databases, PGDB, genome, metabolic pathway, microbiome, FASEB list |
uses: Pathway Tools is used by: PathCase Pathways Database System lists: Pathway Tools lists: EcoCyc lists: MetaCyc lists: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is listed by: LabWorm is listed by: Human Microbiome Project is related to: Pathway Tools is related to: PathCase Pathways Database System is related to: EcoCyc is related to: MetaCyc is related to: HumanCyc: Encyclopedia of Homo sapiens Genes and Metabolism is related to: EcoCyc is related to: Gramene is related to: NCBI BioSystems Database is related to: KOBAS is related to: Tuberculosis Database is related to: Pathway Tools has parent organization: Stanford Research Institute International |
NIGMS GM080746 | PMID:16246909 | Restricted | nif-0000-00369, r3d100011259 | https://doi.org/10.17616/R36G8H | SCR_002298 | BioCyc Database Collection | 2026-08-04 09:40:36 | 970 | |||||
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Community Structure-Activity Resource Resource Report Resource Website 10+ mentions |
Community Structure-Activity Resource (RRID:SCR_002206) | CSAR | data set, storage service resource, data repository, service resource, data or information resource | Experimental datasets of crystal structures and binding affinities for diverse protein-ligand complexes. Some datasets are generated in house while others are collected from the literature or deposited by academic labs, national centers, and the pharmaceutical industry. For the community to improve their approaches, they need exceptional datasets to train scoring functions and develop new docking algorithms. They aim to provide the highest quality data for a diverse collection of proteins and small molecule ligands. They need input from the community in developing target priorities. Ideal targets will have many high-quality crystal structures (apo and 10-20 bound to diverse ligands) and affinity data for 25 compounds that range in size, scaffold, and logP. It is best if the ligand set has several congeneric series that span a broad range of affinity, with low nanomolar to mid-micromolar being most desirable. They prefer Kd data over Ki data over IC50 data (no % activity data). They will determine solubility, pKa, logP/logD data for the ligands whenever possible. They have augmented some donated IC50 data by determining Kon/Koff and ITC data. | crystal structure, binding affinity, protein-ligand complex, protein, small molecule, ligand, compound |
is used by: NIF Data Federation is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) has parent organization: University of Michigan; Ann Arbor; USA |
NIGMS | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154720 | SCR_002206 | 2026-08-04 09:40:35 | 15 | |||||||
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microbeMASST Resource Report Resource Website 1+ mentions |
microbeMASST (RRID:SCR_024713) | data access protocol, software resource, web service | Web taxonomically informed mass spectrometry search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging database of over 60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. | Identification of microbial derived metabolites, microbial metabolomics data, microbial metabolite annotation, taxonomy, mass spectrometry search tool, searching tool, bacteria, fungi, metabolomics, microbiome, search known and unknown MS/MS spectra, | is related to: GNPS MASST | NIDDK U24DK133658; NIA U19AG063744; NIGMS 1DP2GM137413; Korean Government ; Austrian Science Fund ; German Research Foundation ; Sao Paulo Research Foundation ; Mexican National Council of Science and Technology ; NIGMS R01GM107550; NSF ; Research Council of Norway ; NIAID R01AI167860; NIDDK T32DK007202; NIGMS 1R01GM132649; NIGMS R35GM142938; NIDDK U01DK119702; NIH Office of the Director S10 OD021750; NLM 1R01LM013115 |
PMID:37577622 | Free, Freely available, | SCR_024713 | 2026-08-04 09:45:35 | 6 | ||||||||
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Dynamic Regulatory Events Miner Resource Report Resource Website 1+ mentions |
Dynamic Regulatory Events Miner (RRID:SCR_003080) | DREM | data processing software, software application, software resource | The Dynamic Regulatory Events Miner (DREM) allows one to model, analyze, and visualize transcriptional gene regulation dynamics. The method of DREM takes as input time series gene expression data and static transcription factor-gene interaction data (e.g. ChIP-chip data), and produces as output a dynamic regulatory map. The dynamic regulatory map highlights major bifurcation events in the time series expression data and transcription factors potentially responsible for them. DREM 2.0 was released and supports a number of new features including: * new static binding data for mouse, human, D. melanogaster, A. thaliana * a new and more flexible implementation of the IOHMM supports dynamic binding data for each time point or as a mix of static/dynamic TF input * expression levels of TFs can be used to improve the models learned by DREM * the motif finder DECOD can be used in conjuction with DREM and help find DNA motifs for unannotated splits * new features for the visualization of expressed TFs, dragging boxes in the model view, and switching between representations | transcription, gene regulation, dynamics, time series, gene expression, static, dynamic, transcription factor-gene interaction, chip-chip, transcription factor, regulatory network, hidden markov model, systems biology, gene regulatory network, times series expression data, dynamic network, chip-seq | has parent organization: Carnegie Mellon University; Pennsylvania; USA | NIH ; NIGMS 1RO1 GM085022; NIAID DNO1 AI-5001; NSF 0448453 |
PMID:22897824 | Free, Available for download, Freely available | nif-0000-30478 | SCR_003080 | Dynamic Regulatory Events Miner (DREM) | 2026-08-04 09:40:48 | 5 | |||||
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Ontodog: A Web-based Ontology View Generator Resource Report Resource Website 10+ mentions |
Ontodog: A Web-based Ontology View Generator (RRID:SCR_005061) | Ontodog | software resource, source code, production service resource, service resource | Ontodog is a web-based ontology view generator. It can generate inSubset annotation ontology, user preferred label annotation ontology and subset of source ontology. Simply provide Ontodog input term file (Microsoft Excel file or tab-delimited text file), select one source ontology or enter your own source ontology and SPARQL endpoint, then set the settings for Ontodog output files and get the OWL (RDF/XML) Output files. Ontodog performs the basic ontology modularization-like function, i.e.,it automatically extracts all axioms and related terms associated with user-specified signature term(s). In addition, Ontodog includes extra features: (1) extracting all instance data associated with the retrieved class terms and annotations; and (2) recursively extracting all axioms and related terms indirectly associated with signature terms. More features are being added to Ontodog, such as relabeling preferred names for various ontology terms to fit in with the needs from a specific community. The Ontodog input data requires a source ontology and a list of user-specified signature terms in tab-delimited format. Ontodog provides the template files for generating the signature terms as the input terms file to download. There are several output options that the users can choose based on their needs. With more and more ontologies being developed, Ontodog offers a timely web-based package of solutions for ontology view generation. Ontodog provides an efficient approach to promote ontology sharing and interoperability. It is easy to use and does not require knowledge of SPARQL, script programming, and command line operation. Ontodog is developed to serve the ontology community for ontology reuse. It is freely available under the Apache License 2.0. The source code is made available under Apache License 2.0. | ontology, interoperability | has parent organization: University of Michigan Medical School; Michigan; USA | Rackham Pilot Research ; NIAID R01AI081062; NIGMS 5R01GM93132-1 |
nlx_144053 | SCR_005061 | 2026-08-04 09:41:17 | 17 | ||||||||
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Mouse Mutagenesis Center for Developmental Defects Resource Report Resource Website |
Mouse Mutagenesis Center for Developmental Defects (RRID:SCR_007321) | Mouse Mutagenesis for Developmental Defects | material resource, reagent supplier | THIS RESOURCE IS NO LONGER IN SERVICE. For updated mutant information, please visit MMRRC or The Jackson Laboratory. Produces, characterizes, and distributes mutant mouse strains with defects in embryonic and postembryonic development. The goal of the ENU Mutagenesis project III is to determine the function of genes on mouse Chromosome 11 by saturating the chromosome with recessive mutations. The distal 40 cM of mouse Chr 11 exhibits linkage conservation with human Chromosome 17. We are using the chemical N-ethyl-N-nitrosourea (ENU) to saturate wild type chromosomes with point mutations. By determining the function of genes on a mouse chromosome, we can extrapolate to predict function on a human chromosome. We expect many of the new mutants to represent models of human diseases such as birth defects, patterning defects, growth and endocrine defects, neurological anomalies, and blood defects. Because many of the mutations we expect to isolate may be lethal or detrimental to the mice, we are using a unique approach to isolate mutations. This approach uses a balancer chromosome that is homozygous lethal and carries a dominant coat color marker to suppress recombination over a reasonable interval. | mutant, embryo, post embryonic, mutagenesis, craniofacial, eye, fertility, growth, lethal, metabolism, neurological, skeletal, skin, coat, urogenital, cryopreserved, enu, defect, birth defect, , patterning defect, growth defect, endocrine defects, neurological anomaly, blood defect, mouse model, human disease, n-ethyl-n-nitrosourea, chromosome 11, phenotype |
is listed by: One Mind Biospecimen Bank Listing is related to: One Mind Biospecimen Bank Listing is related to: NIDDK Information Network (dkNET) is related to: Mutant Mouse Resource and Research Center is related to: Jackson Laboratory has parent organization: Baylor University; Texas; USA |
Aging | NICHD ; NIGMS ; NIA ; NIAMS ; NHLBI ; NIDDK ; NIDCR ; NIH Blueprint for Neuroscience Research |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00190 | SCR_007321 | NIH Mouse Mutagenesis Center for Developmental Defects | 2026-08-04 09:41:49 | 0 | |||||
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CellProfiler Image Analysis Software Resource Report Resource Website 1000+ mentions |
CellProfiler Image Analysis Software (RRID:SCR_007358) | data processing software, software application, software resource, image analysis software | Software tool to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. It counts cells and also measures the size, shape, intensity and texture of every cell (and every labeled subcellular compartment) in every image. It was designed for high throughput screening but can perform automated image analysis for images from time-lapse movies and low-throughput experiments. CellProfiler has an increasing number of algorithms to identify and measure properties of neuronal cell types. | high-throughput, high content imaging, software, image, cell, phenotype, measurement, subcellular, intensity, size, shape, analysis, algorithm |
is listed by: Debian is related to: CellProfiler Analyst has parent organization: Broad Institute |
NIGMS R01 GM089652; NIGMS RC2 GM092519; NHGRI RL1 HG004671 |
PMID:21349861 PMID:17076895 PMID:19014601 PMID:19188593 |
Free, Available for download, Freely available | SCR_010649, nlx_66812, nif-0000-00280 | https://sources.debian.org/src/cellprofiler/ | SCR_007358 | Cell Profiler, CellProfiler - cell image analysis software | 2026-08-04 09:41:51 | 3265 | |||||
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Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome Resource Report Resource Website |
Human Experimental/FunctionAL MaPper: Providing Functional Maps of the Human Genome (RRID:SCR_003506) | HEFalMp | database, data or information resource, service resource | HEFalMp (Human Experimental/FunctionAL MaPper) is a tool developed by Curtis Huttenhower in Olga Troyanskaya's lab at Princeton University. It was created to allow interactive exploration of functional maps. Functional mapping analyzes portions of these networks related to user-specified groups of genes and biological processes and displays the results as probabilities (for individual genes), functional association p-values (for groups of genes), or graphically (as an interaction network). HEFalMp contains information from roughly 15,000 microarray conditions, over 15,000 publications on genetic and physical protein interactions, and several types of DNA and protein sequence analyses and allows the exploration of over 200 H. sapiens process-specific functional relationship networks, including a global, process-independent network capturing the most general functional relationships. Looking to download functional maps? Keep an eye on the bottom of each page of results: every functional map of any kind is generated with a Download link at the bottom right. Most functional maps are provided as tab-delimited text to simplify downstream processing; graphical interaction networks are provided as Support Vector Graphics files, which can be viewed using the Adobe Viewer, any recent version of Firefox, or the excellent open source Inkscape tool. | human, map, gene, functional, pathway, disease, genomic, analysis, microarray, dna, protein, sequence | has parent organization: Princeton University; New Jersey; USA | New Jersey Commission on Cancer Research ; PhRMA Foundation 2007RSGl9572; NIGMS R01 GM071966; NSF DBI-0546275; NSF IIS-0513552; NHGRI T32 HG003284; NIGMS P50 GM071508 |
PMID:19246570 | nif-0000-37186 | SCR_003506 | Human Experimental / FunctionAL MaPper, Human Experimental/FunctionAL MaPper | 2026-08-04 09:40:55 | 0 | ||||||
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PILGRM Resource Report Resource Website 1+ mentions |
PILGRM (RRID:SCR_004749) | PILGRIM | data analysis service, analysis service resource, production service resource, service resource | PILGRM (the platform for interactive learning by genomics results mining) puts advanced supervised analysis techniques applied to enormous gene expression compendia into the hands of bench biologists. This flexible system empowers its users to answer diverse biological questions that are often outside of the scope of common databases in a data-driven manner. This capability allows domain experts to quickly and easily generate hypotheses about biological processes, tissues or diseases of interest. Specifically PILGRM helps biologists generate these hypotheses by analyzing the expression levels of known relevant genes in large compendia of microarray data. PILGRM is for the biologist with a set of proteins relevant to a disease, biological function or tissue of interest who wants to find additional players in that process. It uses a data driven method that provides added value for literature search results by mining compendia of publicly available gene expression datasets using lists of relevant and irrelevant genes (standards). PILGRM produces publication quality PDFs usable as supplementary material to describe the computational approach, standards and datasets. Each PILGRM analysis starts with an important biological question (e.g. What genes are relevant for breast cancer but not mammary tissue in general?). For PILGRM to discover relevant genes, it needs examples of both genes that you would (positive) and would not (negative) find interesting. Lists of these genes are what we call standards and in PILGRM you can build your own standards or you can use standards from common sources that we pre-load for your convenience. PILGRM lets you build your own literature-documented standards so that processes, disease, and tissues that are not well covered in databases of tissue expression, disease, or function can still be used for an analysis. | data mining, gene expression, user directed data mining, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NIGMS P50 GM071508; NCI T32 CA005928 |
PMID:21653547 | nlx_75372, biotools:pilgrm | https://bio.tools/pilgrm | SCR_004749 | Platform for Interactive Learning by Genomics Results Mining | 2026-08-04 09:41:13 | 1 | |||||
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Biomedical Computation Review Resource Report Resource Website |
Biomedical Computation Review (RRID:SCR_004866) | Biomedical Computation Review | blog, narrative resource, data or information resource | Magazine published by Simbios, a National NIH Center for Biomedical Computing, covering the latest research wherever computation, biology, and medicine intersect. In addition to disseminating information about the latest research in biomedical computation, they aim to foster community amongst the wide audience interested in any and all aspects of biomedical computing. Whether you are a long time researcher in this area or new to it, please consider joining those who have already started to participate in Biomedical Computation Review. You are encouraged to: * Write a letter to the editor on any relevant topics * Suggest your favorite topics that should receive more attention * Suggest an idea for a feature article * Propose an idea for an Under the Hood tutorial * Tell us any other way in which we can better serve this community | biomedical computing, computation, biology, medicine |
is related to: Simbios has parent organization: Simbios |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970 |
nlx_84418 | http://biomedicalcomputationreview.org/index.html | SCR_004866 | 2026-08-04 09:41:14 | 0 | |||||||
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SCAN Resource Report Resource Website 500+ mentions |
SCAN (RRID:SCR_005185) | SCAN | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | single nucleotide polymorphism, copy number variation, annotation, genetics, genomics, genome-wide association study, gene, linkage disequilibrium, function, expression quantitative trait loci, expression, quantitative trait loci, chromosome, chromosome region, affymetrix, cerebellum, parietal, liver |
is listed by: OMICtools is listed by: SoftCite has parent organization: University of Chicago; Illinois; USA |
NIMH R01MH090937; NHLBI U01HL084715; NIGMS U01GM61393; NIDDK P60 DK20595; NCI P50 CA125183 |
PMID:25818895 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00181 | SCR_005185 | SCAN: SNP and CNV Annotation Database, SCAN - SNP and CNV Annotation Database | 2026-08-04 09:41:18 | 740 | |||||
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TopoSNP Resource Report Resource Website 1+ mentions |
TopoSNP (RRID:SCR_005572) | TopoSNP | database, data or information resource | A topographic database for analyzing non-synonymous SNPs (nsSNPs) that can be mapped onto known 3D structures of proteins. These include disease- associated nsSNPs derived from the Online Mendelian Inheritance in Man (OMIM) database and other nsSNPs derived from dbSNP, a resource at the National Center for Biotechnology Information that catalogs SNPs. TopoSNP further classifies each nsSNP site into three categories based on their geometric location: those located in a surface pocket or an interior void of the protein, those on a convex region or a shallow depressed region, and those that are completely buried in the interior of the protein structure. These unique geometric descriptions provide more detailed mapping of nsSNPs to protein structures. It also includes relative entropy of SNPs calculated from multiple sequence alignment as obtained from the Pfam database (a database of protein families and conserved protein motifs) as well as manually adjusted multiple alignments obtained from ClustalW. These structural and conservational data can be useful for studying whether nsSNPs in coding regions are likely to lead to phenotypic changes. TopoSNP includes an interactive structural visualization web interface, as well as downloadable batch data. | visualization, disease, non-disease, non-synonymous single nucleotide polymorphism, topographic mapping, single nucleotide polymorphism, 3d structure, protein, protein structure, coding region, entropy |
is listed by: OMICtools is related to: OMIM is related to: dbSNP is related to: Pfam is related to: Clustal W2 has parent organization: University of Illinois at Chicago; Illinois; USA |
NSF DBI0133856; NSF DBI0078270; NSF MCB998008; NIGMS GM68958 |
PMID:14681472 | nif-0000-03570, OMICS_00191 | SCR_005572 | topographic mapping of Single Nucleotide Polymorphism | 2026-08-04 09:41:23 | 4 | ||||||
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BindingDB Resource Report Resource Website 10+ mentions |
BindingDB (RRID:SCR_000390) | database, data or information resource | Web accessible database of data extracted from scientific literature, focusing on proteins that are drug-targets or candidate drug-targets and for which structural data are present in Protein Data Bank . Website supports query types including searches by chemical structure, substructure and similarity, protein sequence, ligand and protein names, affinity ranges and molecular weight . Data sets generated by BindingDB queries can be downloaded in form of annotated SDfiles for further analysis, or used as basis for virtual screening of compound database uploaded by user. Data are linked to structural data in PDB via PDB IDs and chemical and sequence searches, and to literature in PubMed via PubMed IDs . | drug, drug discovery, drug target, binding affinity, protein interaction, small molecule-protein interaction, interaction, protein, small molecule, FASEB list |
is related to: PSICQUIC Registry is related to: canSAR has parent organization: University of California at San Diego; California; USA |
NIGMS GM070064; NSF 9808318; National Institute of Standards and Technology ; NIGMS R24 GM144232 |
PMID:26481362 PMID:17145705 |
Free, Freely available | r3d100012074, nif-0000-02603 | https://doi.org/10.17616/R3ZS9T | SCR_000390 | BindingDB | 2026-08-04 09:40:07 | 41 | |||||
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Hanalyzer Resource Report Resource Website |
Hanalyzer (RRID:SCR_000923) | software application, software resource, source code | An open-source data integration system designed to assist biologists in explaining the results observed in genome-scale experiments as well as generating new hypotheses. It combines information extraction techniques, semantic data integration, and reasoning and facilitates network visualization. The Hanalyzer source code and binaries are available for download. | genomic, visualization, reading, reasoning, reporting, throughput analyzer, data network |
has parent organization: University of Colorado Denver; Colorado; USA has parent organization: SourceForge |
NIDCR R01DE15191; NLM R01LM008111; NLM R01LM009254; NIGMS R01GM083649; NLM T15LM009451; NHGRI 5R01HG004483-09 |
PMID:19325874 | nlx_48287 | SCR_000923 | Hanalyzer: A 3R System | 2026-08-04 09:40:16 | 0 | |||||||
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Bioscholar Resource Report Resource Website 1+ mentions |
Bioscholar (RRID:SCR_001380) | BioScholar | software application, software resource, source code | Knowledge management and engineering system software for experimental biomedical scientists permitting a single scientific worker (at the level of a graduate student or postdoctoral worker) to design, construct and manage a shared knowledge repository for a research group derived on a local store of PDF files. Usability is especially emphasized within a laboratory so that this software could provide support to experimental scientists attempting to construct a personalized representation of their own knowledge on a medium scale. The BioScholar system uses a graphical interface to create experimental designs based on the experimental variables in the system. The design is then analyzed to construct a tabular input form based on the data flow. They call this methodology "Knowledge Engineering from Experimental Design" or "KEfED". The approach is domain-independent but domain-specific modules reasoning can be constructed to generate interpretations from the observational data represented in the KEfED model. The application is available for download as platform-specific installers including Linux, Unix, Mac OS, and Windows. The installer will install an application that will run the BioScholar server. This server uses Jetty as its integrated web server. | knowledge engineering from experimental design, protocol, lab data management, knowledge engineering, kefed, experimental design, curate, model, scientific experiment, data repository, experimental variable, biomedical, bioinformatics |
is related to: Knowledge Engineering from Experimental Design has parent organization: University of Southern California; Los Angeles; USA |
NCRR 1 U24 RR025736; NIGMS R01-GM083871 |
PMID:21859449 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152541 | SCR_001380 | 2026-08-04 09:40:21 | 1 | ||||||
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WTCHG Genome Scan Viewer Resource Report Resource Website 1+ mentions |
WTCHG Genome Scan Viewer (RRID:SCR_001635) | GSCANDB | database, data or information resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Database / display tool of genome scans, with a web interface that lets the user view the data. It does not perform any analyses - these must be done by other software, and the results uploaded into it. The basic features of GSCANDB are: * Parallel viewing of scans for multiple phenotypes. * Parallel analyses of the same scan data. * Genome-wide views of genome scans * Chromosomal region views, with zooming * Gene and SNP Annotation is shown at high zoom levels * Haplotype block structure viewing * The positions of known Trait Loci can be overlayed and queried. * Links to Ensembl, MGI, NCBI, UCSC and other genome data browsers. In GSCANDB, a genome scan has a wide definition, including not only the usual statistical genetic measures of association between genetic variation at a series of loci and variation in a phenotype, but any quantitative measure that varies along the genome. This includes for example competitive genome hybridization data and some kinds of gene expression measurements. | genome, gene, snp, trait, genotype, phenotype, visualization, region, chromosome, quantitative trait locus, hybridization, gene expression | has parent organization: University of Oxford; Oxford; United Kingdom | NIAAA U01AA014425; NCRR R24RR015116; NIGMS R01GM072863; NINDS R01NS049445; NIMH P20-MH 62009; NIAAA U24AA13513 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_153902 | SCR_001635 | Wellcome Trust Centre for Human Genetics Genome Scan Viewer, Genome Scan Viewer, Genome Scan Database | 2026-08-04 09:40:26 | 3 | ||||||
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EcoGene Resource Report Resource Website 50+ mentions |
EcoGene (RRID:SCR_002437) | ECK, ECOGENE, ECOGENE G | database, data or information resource | Database that contains updated information about the Escherichia coli K-12 genome and proteome sequences, including extensive gene bibliographies. Users are able to download customized tables, perform Boolean query comparisons, generate sets of paired DNA sequences, and download any E. coli K-12 genomic DNA sub-sequence. BLAST functions, microarray data, an alphabetical index of genes, and gene overlap queries are also available. The Database Table Downloads Page provides a full list of EG numbers cross-referenced to the new cross-database ECK numbers and other common accession numbers, as well as gene names and synonyms. Monthly release archival downloads are available, but the live, daily updated version of EcoGene is the default mysql database for download queries. | life sciences, genomics, proteomics, gene, gene expression, genetics, protein, protein binding, protein-protein interaction, membrane, rna, dna, structure, function, functional annotation, annotation, blast, FASEB list |
is listed by: re3data.org is related to: RefSeq is related to: Colibri has parent organization: University of Miami Miller School of Medicine; Florida; USA |
NIH ; Lucille P. Markey Foundation ; NIGMS 5-R01-GM58560-05 |
PMID:23197660 PMID:10592181 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02784, r3d100010546 | https://doi.org/10.17616/R3KP5V | http://bmb.med.miami.edu/ http://bmb.med.miami.edu/EcoGene/EcoWeb/ http://www.ecogene.org/old/ | SCR_002437 | EcoGene Database of Escherichia coli Sequence and Function | 2026-08-04 09:40:38 | 56 | |||
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EcoCyc Resource Report Resource Website 100+ mentions |
EcoCyc (RRID:SCR_002433) | EcoCyc, EcoCyc REF | database, data or information resource | Database for the bacterium Escherichia coli K-12 MG1655, the EcoCyc project performs literature-based curation of the entire genome, and of transcriptional regulation, transporters, and metabolic pathways. The long-term goal of the project is to describe the molecular catalog of the E. coli cell, as well as the functions of each of its molecular parts, to facilitate a system-level understanding of E. coli. EcoCyc is an electronic reference source for E. coli biologists, and for biologists who work with related microorganisms. | genome, metabolic pathway, transcription, transporters, escherichia coli, transcriptional regulation, metabolism, pathway, FASEB list |
uses: Pathway Tools is used by: NIF Data Federation is listed by: OMICtools is listed by: BioCyc is related to: MultiFun is related to: BioCyc is related to: BioCyc is related to: AmiGO is related to: NCBI BioSystems Database is related to: Pathway Tools has parent organization: Stanford Research Institute International |
NCRR ; NIGMS GM077678; NIGMS GM71962 |
PMID:23143106 PMID:21097882 |
Free, Freely available | OMICS_01645, nif-0000-02783, r3d100011277 | https://doi.org/10.17616/R34K99 | SCR_002433 | EcoCyc REF | 2026-08-04 09:40:39 | 482 |
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