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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | data or information resource, data repository, data set, data analysis service, storage service resource, production service resource, service resource, analysis 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 | 2026-08-05 10:43:29 | 2 | |||
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Generic Model Organism Database Project Resource Report Resource Website 1+ mentions |
Generic Model Organism Database Project (RRID:SCR_001731) | GMOD | data or information resource, portal, topical portal, software resource, database | A collection of open source software tools for creating and managing genome-scale biological databases. GMOD is made up databases, applications, and adaptor software that connects these components together. You can use it to create a small laboratory database of genome annotations, or a large web-accessible community database. At first GMOD just featured model organisms but now any organism with any kind of sequence associated with it is a good candidate as a subject for a GMOD database. There are GMOD databases with just protein sequence in them, with EST sequence only, those that are concerned primarily with gene expression, and even those dedicated to collections of RNA sequence. They have also heard of GMOD databases for oligonucleotides and plasmids. | genome, biological database, model organism, software, annotation, gene, sequence, expressed sequence tag, gene expression, rna sequence, oligonucleotide, plasmid |
is related to: Generic GO Term Mapper is related to: Generic GO Term Finder has parent organization: USDA Agricultural Research Service has parent organization: National Human Genome Research Institute has parent organization: National Institute of General Medical Sciences is parent organization of: SynView is parent organization of: Apollo is parent organization of: GBrowse is parent organization of: CMAP is parent organization of: GBrowse syn |
Free, Freely Available | nif-0000-10234 | SCR_001731 | Generic Model Organism Database | 2026-08-05 10:43:27 | 7 | |||||||
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Cerebellar Gene Regulation in Time and Space Database Resource Report Resource Website 1+ mentions |
Cerebellar Gene Regulation in Time and Space Database (RRID:SCR_001699) | Cb GRiTS | data or information resource, data set, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Time-series data sets spanning twelve time-points between E12-P9 for exploring cerebellar development of the mouse in time and space. The database contains a number of mutant / wildtype microarray datasets including two complete wildtype microarray time-series (C57BL/6 and DBA/2J). The dataset also includes in situ hybridization and bioinformatic analyses. Exploration of this dataset will allow the investigator to assess differential gene expression profiles from a developing mutant cerebella, to assess the temporal changes in gene expression in the wildtype, and to verify the cellular expression of these genes in images from our in situ hybridization library. Using the database, the investigator can explore the developmental expression or differential expression patterns of a particular gene, or create lists of similarly expression genes by building simple search algorithms. These lists can then be mined across all the datasets in both space and time. Cb GRiTS's current datasets represent gene expression analyses from multiple cerebellar mutant and wildtype single time-point and developmental series. | anova, helmert analysis, polynomial analysis, differential equation modeling, paraclique analysis, parent/child analysis, microarray, mouse, mouse model, c57bl/6, dba/2j, in situ hybridization, bioinformatic analyses, gene expression, developmental expression, differential expression, development, cerebellum, phenotype, paraclique analysis, dynamic system modeling, prenatal, adult mouse, embryonic mouse, time series, gene | has parent organization: University of British Columbia; British Columbia; Canada | NICHD HD052472 | PMID:25446528 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10192 | http://grits.dglab.org/ | SCR_001699 | Cb GRiTS Database | 2026-08-05 10:43:26 | 1 | ||||
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ASTRAL Compendium for Sequence and Structure Analysis Resource Report Resource Website 10+ mentions |
ASTRAL Compendium for Sequence and Structure Analysis (RRID:SCR_001886) | ASTRAL | data or information resource, data processing software, software application, database, software resource, data storage software | It provides databases and tools useful for analyzing protein structures and their sequences. It is partially derived from, and augments the SCOP: Structural Classification of Proteins database, a database created by manual inspection and abetted by a battery of automated methods, aims to provide a detailed and comprehensive description of the structural and evolutionary relationships between all proteins whose structure is known. Most of the resources provided here depend upon the coordinate files maintained and distributed by the Protein Data Bank. Sponsors: This work is supported by grants from the NIH (1-P50-GM62412, 1-K22-HG00056) and the Searle Scholars Program (01-L-116), and by the US Department of Energy under contract DE-AC03-76SF00098. | gene, amino acid, homology, protein sequence, protein structure | has parent organization: University of California at Berkeley; Berkeley; USA | PMID:10592239 | Free, Available for download, Freely available | nif-0000-02580 | SCR_001886 | ASTRAL Compendium for Sequence and Structure Analysis, The ASTRAL Compendium for Sequence and Structure Analysis | 2026-08-05 10:43:29 | 27 | ||||||
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Aspergillus Genomes Resource Report Resource Website |
Aspergillus Genomes (RRID:SCR_001880) | Aspergillus Genomes | data or information resource, database, data analysis service, production service resource, service resource, analysis service resource | A resource for viewing annotated genes arising from various Aspergillus sequencing and annotation projects, resulting from the merging of Central Aspergillus Data REpository (CADRE) and The Aspergillus Website, which took place in June 2008. The principal role of CADRE is to aid the Aspergillus research community by managing Aspergillus genome data and by providing visualization tools, ranging from relatively simple annotation displays to more complex data integration displays. In contrast, The Aspergillus Website provides a range of information to the medical community (i.e., clinicians, patients and scientists) regarding the genus Aspergillus and the diseases, such as Aspergillosis, that it can cause. CADRE has been implemented using the Ensembl v22 suite. This suite comprises: * a database schema, which has been devised for storing annotated eukaryotic genomes. The schema is implemented with the MySQL relational database management system. * several specialized programming modules for building interfaces (i.e., BioPerl and Ensembl API modules). * a series of programs (i.e., Perl CGI scripts using the API modules) for viewing genomic data within a web browser., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genome, eukaryotic genome, gene, gene annotation, aspergillosis, aspergillus, pathway, annotation, sequence, metabolic pathway, genomics, clinical, strain, dna, peptide, blast | Fungal Research Trust | PMID:19039001 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02577, r3d100011253 | https://doi.org/10.17616/R3005P | SCR_001880 | 2026-08-05 10:43:29 | 0 | ||||||
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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, topical portal, 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 | 2026-08-05 10:43:27 | 2 | |||||||
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DAVID Resource Report Resource Website 10000+ mentions |
DAVID (RRID:SCR_001881) | DAVID | data or information resource, data access protocol, software resource, database, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis. | functional domain, annotation, motif, protein, ontology enrichment, gene, high-throughput, functional classification, functional annotation, clustering, genome, pathway, gene-disease association, interaction, functional domain, motif, visualization, FASEB list |
is listed by: OMICtools is listed by: 3DVC is listed by: LabWorm is listed by: SoftCite is related to: Gene Ontology is related to: BioCarta Pathways is related to: KEGG has parent organization: NCI-Frederick |
NIAID NO1-CO-56000; NCI |
PMID:19131956 PMID:12734009 PMID:35325185 PMID:22543366 PMID:17980028 PMID:17576678 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30408, nif-0000-10451, OMICS_02220, SCR_003033 | http://david.abcc.ncifcrf.gov/ | SCR_001881 | DAVID Bioinformatics Resources, Visualization and Integrated Discovery Bioinformatics Resources, Database for Annotation Visualization and Integrated Discovery, The Database for Annotation, The Database for Annotation Visualization and Integrated Discovery Bioinformatics Resources | 2026-08-05 10:43:29 | 18488 | ||||
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GATK Resource Report Resource Website 10000+ mentions |
GATK (RRID:SCR_001876) | GATK | data processing software, software library, software application, data analysis software, software toolkit, software resource | A software package to analyze next-generation resequencing data. The toolkit offers a wide variety of tools, with a primary focus on variant discovery and genotyping as well as strong emphasis on data quality assurance. Its robust architecture, powerful processing engine and high-performance computing features make it capable of taking on projects of any size. This software library makes writing efficient analysis tools using next-generation sequencing data very easy, and second it's a suite of tools for working with human medical resequencing projects such as 1000 Genomes and The Cancer Genome Atlas. These tools include things like a depth of coverage analyzers, a quality score recalibrator, a SNP/indel caller and a local realigner. (entry from Genetic Analysis Software) | gene, genetic, genomic, next-generation resequencing, bio.tools |
is used by: Halvade Somatic is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian is listed by: SoftCite is related to: SnpEff is related to: GATK HaplotypeCaller is related to: GATK VariantFiltration has parent organization: Broad Institute |
PMID:21478889 | Free, Available for download, Freely available | nlx_154324, OMICS_00286, biotools:gatk | http://www.broadinstitute.org/gsa/wiki/index.php/The_Genome_Analysis_Toolkit, https://bio.tools/gatk | SCR_001876 | Genome Analysis ToolKit | 2026-08-05 10:43:29 | 16663 | |||||
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MACH 1.0 Resource Report Resource Website 50+ mentions |
MACH 1.0 (RRID:SCR_001759) | software resource, data processing software, software application, data analysis software | A Markov Chain based software tool for haplotyping, genotype imputation and disease association analysis that can resolve long haplotypes or infer missing genotypes in samples of unrelated individuals. | gene, genetic, genomic, haplotype, genotype, genomic analysis, imaging genomics, imputation, snp, gene, haplotyping, sequence |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Mach2dat has parent organization: University of Michigan; Ann Arbor; USA |
PMID:21058334 PMID:19715440 |
Free | nlx_154202, OMICS_00064 | SCR_001759 | MArkov Chain Haplotyper MINIMAC, MArkov Chain Haplotyping | 2026-08-05 10:43:29 | 58 | |||||||
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MouseCyc Resource Report Resource Website 1+ mentions |
MouseCyc (RRID:SCR_001791) | MouseCyc | data or information resource, database, data analysis service, production service resource, service resource, analysis service resource | A manually curated database of both known and predicted metabolic pathways for the laboratory mouse. It has been integrated with genetic and genomic data for the laboratory mouse available from the Mouse Genome Informatics database and with pathway data from other organisms, including human. The database records for 1,060 genes in Mouse Genome Informatics (MGI) are linked directly to 294 pathways with 1,790 compounds and 1,122 enzymatic reactions in MouseCyc. (Aug. 2013) BLAST and other tools are available. The initial focus for the development of MouseCyc is on metabolism and includes such cell level processes as biosynthesis, degradation, energy production, and detoxification. MouseCyc differs from existing pathway databases and software tools because of the extent to which the pathway information in MouseCyc is integrated with the wealth of biological knowledge for the laboratory mouse that is available from the Mouse Genome Informatics (MGI) database. | energy production, biosynthesis, cell, cellular, degradation, detoxification, metabolism, mouse, physiological, enzymatic reaction, gene, disease, genome, metabolic pathway, pathway, compound, enzymatic reaction, protein, rna, reaction, blast, human, mammal, genetic, genomic |
is related to: Mouse Genome Informatics (MGI) is related to: Gene Ontology has parent organization: Jackson Laboratory |
NHGRI HG003622 | PMID:19682380 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10303 | SCR_001791 | MouseCyc database, Mouse Genome Informatics: MouseCyc database | 2026-08-05 10:43:28 | 9 | |||||
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Arabidopsis Hormone Database Resource Report Resource Website 10+ mentions |
Arabidopsis Hormone Database (RRID:SCR_001792) | AHD, AHD2.0 | data or information resource, data repository, controlled vocabulary, database, storage service resource, ontology, service resource | Database providing a systematic and comprehensive view of morphological phenotypes regulated by plant hormones, as well as regulatory genes participating in numerous plant hormone responses. By integrating the data from mutant studies, transgenic analysis and gene ontology annotation, genes related to the stimulus of eight plant hormones were identified, including abscisic acid, auxin, brassinosteroid, cytokinin, ethylene, gibberellin, jasmonic acid and salicylic acid. Another pronounced characteristics of this database is that a phenotype ontology was developed to precisely describe all kinds of morphological processes regulated by plant hormones with standardized vocabularies. To increase the coverage of phytohormone related genes, the database has been updated from AHD to AHD2.0 adding and integrating several pronounced features: (1) added 291 newly published Arabidopsis hormone related genes as well as corrected information (e.g. the arguable ABA receptors) based on the recent 2-year literature; (2) integrated orthologues of sequenced plants in OrthoMCLDB into each gene in the database; (3) integrated predicted miRNA splicing site in each gene in the database; (4) provided genetic relationship of these phytohormone related genes mining from literature, which represents the first effort to construct a relatively comprehensive and complex network of hormone related genes as shown in the home page of our database; (5) In convenience to in-time bioinformatics analysis, they also provided links to a powerful online analysis platform Weblab that they have recently developed, which will allow users to readily perform various sequence analysis with these phytohormone related genes retrieved from AHD2.0; (6) provided links to other protein databases as well as more expression profiling information that would facilitate users for a more systematic analysis related to phytohormone research. Please help to improve the database with your contributions. | arabidopsis thaliana, hormone, hormone function, hormone gene, phytohormone, abscisic acid, auxin, brassinosteroid, cytokinin, ethylene, gibberellin, jasmonic acid, salicylic acid, microarray, phenotype, gene, mirna prediction, expression, mutant, blast, orthologue, mirna splicing site, root, cotyledon, leaf, hypocotyl, stem, flower, silique, seed, embryo, stress, morphology, plant, hormone, regulatory gene, mutant, transgenic, annotation, data analysis service |
is related to: Gene Ontology has parent organization: Peking University; Beijing; China |
National Natural Science Foundation of China 30625003; National Natural Science Foundation of China 30730011; Ministry of Science and Technology of China 2009CB119101; Ministry of Education of China ED20060047 |
PMID:21045062 PMID:19015126 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02559 | SCR_001792 | Arabidopsis Hormone Database 2.0 | 2026-08-05 10:43:27 | 28 | |||||
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Chilibot: Gene and Protein relationships from MEDLINE Resource Report Resource Website 10+ mentions |
Chilibot: Gene and Protein relationships from MEDLINE (RRID:SCR_001705) | Chilibot | data or information resource, database, data analysis service, production service resource, service resource, analysis service resource | Data analysis service that searches PubMed literature database (abstracts) about specific relationships between proteins, genes, or keywords using a NLP-based text-mining approach. The results are returned as a graph. The synonym database used in Chilibot is available, without fee, for academic use only. Several different search methods are supported including: * searching for relationship between two genes, proteins or keywords * searching for relationships between many genes, proteins, or keywords * searching for relationships between two lists of genes, proteins, or keywords Advanced options include: * Automated hypothesis generation (graph) * Restricting context using keywords * Providing your own synonyms * Modifying synonyms provided by Chilibot * Color coding nodes with gene expression values * Special search: modulation | drug, gene, literature, natural language processing, protein, text-mining, network, keyword, biological concept, graph, bio.tools |
is listed by: OMICtools is listed by: 3DVC is listed by: bio.tools is listed by: Debian is related to: PubMed has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PHS DA-03977 | PMID:15473905 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10196, OMICS_01176, biotools:chilibot | https://bio.tools/chilibot | SCR_001705 | Chilibot - Mining PubMed for relationships | 2026-08-05 10:43:26 | 30 | ||||
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Arabidopsis thaliana Protein Interactome Database Resource Report Resource Website 1+ mentions |
Arabidopsis thaliana Protein Interactome Database (RRID:SCR_001896) | AtPID | data or information resource, data repository, database, storage service resource, service resource | Centralized platform to depict and integrate the information pertaining to protein-protein interaction networks, domain architecture, ortholog information and GO annotation in the Arabidopsis thaliana proteome. The Protein-protein interaction pairs are predicted by integrating several methods with the Naive Baysian Classifier. All other related information curated is manually extracted from published literature and other resources from some expert biologists. You are welcomed to upload your PPI or subcellular localization information or report data errors. Arabidopsis proteins is annotated with information (e.g. functional annotation, subcellular localization, tissue-specific expression, phosphorylation information, SNP phenotype and mutant phenotype, etc.) and interaction qualifications (e.g. transcriptional regulation, complex assembly, functional collaboration, etc.) via further literature text mining and integration of other resources. Meanwhile, the related information is vividly displayed to users through a comprehensive and newly developed display and analytical tools. The system allows the construction of tissue-specific interaction networks with display of canonical pathways. | gene, gene expression, domain, annotation, ineractome, metabolic pathway, phylogenetic, protein, protein-protein interaction, signaling pathway, proteome, protein subcellular location, ortholog, gene regulation, pathway, phenotype |
is listed by: OMICtools is related to: Gene Ontology has parent organization: Northeast Forest University; Harbin; China |
National Basic Research Program of China 2010CB945400; National Basic Research Program of China 2007CB108800; National High Technology Research and Development Program of China 2006AA02Z313; National High Technology Research and Development Program of China 2006AA10Z129; National Natural Science Foundation of China 30870575; National Natural Science Foundation of China 30730078; Science and Technology Commission of Shanghai Municipality 06DZ22923 |
PMID:21036873 PMID:17962307 |
THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01898, nif-0000-02585 | http://atpid.biosino.org/ | SCR_001896 | AtPID Database | 2026-08-05 10:43:31 | 8 | ||||
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SNAP - SNP Annotation and Proxy Search Resource Report Resource Website 100+ mentions |
SNAP - SNP Annotation and Proxy Search (RRID:SCR_002127) | SNAP | software application, software resource, data analysis service, production service resource, service resource, analysis service resource | A computer program and web-based service for the rapid retrieval of linkage disequilibrium proxy single nucleotide polymorphism (SNP) results given input of one or more query SNPs and based on empirical observations from the International HapMap Project and the 1000 Genomes Project. A series of filters allow users to optionally retrieve results that are limited to specific combinations of genotyping platforms, above specified pairwise r2 thresholds, or up to a maximum distance between query and proxy SNPs. SNAP can also generate linkage disequilibrium plots | gene, genetic, genomic, r, oracle, single nucleotide polymorphism, linkage disequilibrium, genotypeing array, physical distance, membership, proxy, plot |
is listed by: OMICtools is listed by: Genetic Analysis Software is related to: International HapMap Project is related to: 1000 Genomes: A Deep Catalog of Human Genetic Variation has parent organization: Broad Institute |
NHLBI N01-HC-65226 | PMID:18974171 | Free, Freely Available | OMICS_01927, nlx_154638 | http://www.broad.mit.edu/mpg/snap/ | SCR_002127 | SNAP (SNP Annotation and Proxy Search), SNAP 2, SNP Annotation and Proxy Search | 2026-08-05 10:43:34 | 144 | ||||
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pfSNP Resource Report Resource Website 1+ mentions |
pfSNP (RRID:SCR_002167) | pfSNP | data or information resource, data repository, database, storage service resource, service resource | Search engine integrating various bio-informatic resources and algorithims to produce a one-stop resource for biologists to identify potentially functional SNPs. It caters to different groups of scientists interested in SNPs including those working in the following areas: * Whole-genome association studies * Gene-based association studies * Designing experiments to address the functionality of specific SNPs * Determining potentially functionally significant SNPs that are in LD with non-pfSNPs of interest. Users may add published SNP functions. | single nucleotide polymorphism, function, association study, gene, genome |
is listed by: OMICtools has parent organization: National University of Singapore; Singapore; Singapore |
PMID:20672376 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01854 | SCR_002167 | Potentially Functional SNP Search Engine, pfSNP Search Engine | 2026-08-05 10:43:34 | 7 | ||||||
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Candida Genome Database Resource Report Resource Website 100+ mentions |
Candida Genome Database (RRID:SCR_002036) | CGD, CGD LOCUS, CGD REF | data or information resource, data repository, database, storage service resource, service resource | Database of genetic and molecular biological information about Candida albicans. Contains information about genes and proteins, descriptions and classifications of their biological roles, molecular functions, and subcellular localizations, gene, protein, and chromosome sequence information, tools for analysis and comparison of sequences and links to literature information. Each CGD gene or open reading frame has an individual Locus Page. Genetic loci that are not tied to DNA sequence also have Locus Pages. Provides Gene Ontology, GO, to all its users. Three ontologies that comprise GO (Molecular Function, Cellular Component, and Biological Process) are used by multiple databases to annotate gene products, so that this common vocabulary can be used to compare gene products across species. Development of ontologies is ongoing in order to incorporate new information. Data submissions are welcome. | protein, chromosome, classification, gene, genome, candidiasis, thrush, yeast, yeast gene, yeast genome, candida albicans, candida glabrata, data analysis service, biological role, molecular function, subcellular localization, chromosome sequence, bio.tools, FASEB list |
is used by: NIF Data Federation is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: ASPGD is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
NIDCR DE015873 | PMID:19808938 | Free, Available for download, Freely available | nif-0000-02634, biotools:cgd, r3d100010617 | https://bio.tools/cgd | SCR_002036 | 2026-08-05 10:43:32 | 472 | |||||
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Cell Signaling and Neuroscience: Pathway Slides and Charts Resource Report Resource Website |
Cell Signaling and Neuroscience: Pathway Slides and Charts (RRID:SCR_002069) | Sigma Pathway Slides and Charts | data or information resource, data set, training resource, image collection, slide | Free, downloadable Cell Signaling and Neuroscience Pathway Slides with an overview of the pathway and its links to Your Favorite Gene. There you can explore dynamic pathways and locate products in the context of your research. Each overview contains helpful links to the biological pathways, interaction networks, gene details and related products. Slide Categories: *Apoptosis and Cell Cycle *Cytokines, Growth Factors and Hormones *Cytoskeleton and Extracellular Matrix *Gene Regulation and Expression *G Proteins and Cyclic Nucleotides *Immune Cell Signaling and Blood *Ion Channels *Lipids in Cell Signaling *Multi-Drug Resistance *Neurobiology *Neurotransmission *Nitric Oxide and Cell Stress *Protein Phosphorylation | cell signaling, neuroscience, pathway, biological pathway, metabolic pathway, cell signaling pathway, gene | has parent organization: Sigma-Aldrich | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20824 | http://www.sigmaaldrich.com/life-science/cell-biology/learning-center/pathway-slides-and.html | SCR_002069 | Cell Signaling and Neuroscience Pathway Slides and Charts, Cell Signaling & Neuroscience Pathway Slides & Charts, Pathway Slides and Charts, Sigma Pathway Slides & Charts | 2026-08-05 10:43:32 | 0 | ||||||
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autoSNPdb Resource Report Resource Website |
autoSNPdb (RRID:SCR_001927) | autoSNPdb | data or information resource, data repository, database, storage service resource, service resource | We have developed an integrated SNP discovery pipeline, which identifies SNPs from assembled EST sequences. The results are maintained in a custom relational database along with EST source and annotation information. The current database hosts data for the important crops rice, barley and Brassica. Users may rapidly identify polymorphic sequences of interest through BLAST sequence comparison, keyword searches of annotations derived from UniRef90 and GenBank comparisons, GO annotations or in genes corresponding to syntenic regions of reference genomes. In addition, SNPs between specific varieties may be identified for targeted mapping and association studies. SNPs are viewed using a user-friendly graphical interface. The implementation of autoSNPdb allows researchers to query the results of SNP analysis to characterize SNPs between specific groups of individuals or within genes with predicted function. The system is flexible and researchers may add additional levels of annotation, and perform novel queries specific to their area of interest. If you have sequence data you'd like to include please contact Dave Edwards. | gene, gene function, single nucleotide polymorphism | has parent organization: University of Queensland; Brisbane; Australia | Australian Research Council | PMID:18854357 PMID:19386041 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02589 | https://omictools.com/autosnpdb-tool | http://acpfg.imb.uq.edu.au/autosnpdb.php | SCR_001927 | 2026-08-05 10:43:30 | 0 | ||||
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University of Utah Genetic Science Learning Center - Learn Genetics Resource Report Resource Website 1+ mentions |
University of Utah Genetic Science Learning Center - Learn Genetics (RRID:SCR_001910) | Learn.Genetics, Learn Genetics | data or information resource, training material, narrative resource, training resource, video resource, slide | Educational resources that provide accurate and unbiased information about topics in genetics, bioscience and health for global and local audiences. They are jargon-free, target multiple learning styles, and often convey concepts through animation and interactivity. The Genetic Science Learning Center is a science and health education program located in the midst of the bioscience research being carried out at the University of Utah. Our mission is making science easy for everyone to understand. * Two websites, available free of charge to Internet users worldwide: ** Learn.Genetics delivers educational materials on genetics, bioscience and health topics. They are designed to be used by students, teachers and members of the public. The materials meet selected US education standards for science and health. ** Teach.Genetics provides resources for K-12 teachers, higher education faculty, and public educators. These include PDF-based Print-and-Go™ activities, unit plans and other supporting resources. The materials are designed to support and extend the materials on Learn.Genetics. *Professional development programs that update K-16 teachers' expertise in bioscience and health topics as well as prepare them to implement the materials on our websites. * Community programs that engage with diverse communities in discussions about genetics and health, and in developing culturally and linguistically-appropriate educational materials. Some topics in genetics and bioscience research are controversial. The Center does not take sides in political or ethical controversies. Rather, our goal is to provide comprehensive information that promotes a lively discussion of these topics, so that individuals can arrive at their own informed decisions. | gene, dna, protein, education, genetics, science, bioscience, health, teacher, student, public, professional development, k-12, undergraduate, lesson plan, heredity, genetic trait, cell, molecule, stem cell, cloning, gene therapy, transgenic mouse, epigentics, addiction, genetic variation |
has parent organization: University of Utah; Utah; USA is parent organization of: New Science of Addiction: Genetics and the Brain |
NIH Office of the Director R25OD021903 | You are granted a revocable license to download and print hard copy versions of the material contained on the site for your personal, Educational and noncommercial use, Provided you do not modify or delete any copyright or other notice that appears on the material you download or print. | nif-0000-10482 | http://learns.genetics.utah.edu/ | SCR_001910 | University of Utah Genetic Science Learning Center, Genetic Science Learning Center - Learn.Genetics, Genetic Science Learning Center, Genetic Science Learning Center - Learn Genetics | 2026-08-05 10:43:30 | 9 | |||||
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JGI Genome Portal Resource Report Resource Website 500+ mentions |
JGI Genome Portal (RRID:SCR_002383) | data or information resource, department portal, portal, organization portal | Portal providing access to all JGI genomic databases and analytical tools, sequencing projects and their status, search for and download assemblies and annotations of sequenced genomes, and interactively explore those genomes and compare them with other sequenced microbes, fungi, plants or metagenomes using specialized systems tailored to each particular class of organisms. The Department of Energy (DOE) Joint Genome Institute (JGI) is a national user facility with massive-scale DNA sequencing and analysis capabilities dedicated to advancing genomics for bioenergy and environmental applications. Beyond generating tens of trillions of DNA bases annually, the Institute develops and maintains data management systems and specialized analytical capabilities to manage and interpret complex genomic data sets, and to enable an expanding community of users around the world to analyze these data in different contexts over the web. | gene, computation, genome, genomics, model organism, assembly, annotation, sequenced genome, metagenome, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: DOE Joint Genome Institute is parent organization of: Takifugu rubripes Genome |
Department of Energy | PMID:24225321 PMID:22110030 |
nif-0000-21230, SCR_004706, OMICS_01654, biotools:jgi_genome_portal, nlx_69965 | http://genome.jgi-psf.org, https://bio.tools/jgi_genome_portal | http://genome.jgi-psf.org/ | SCR_002383 | JGI Genome Portal, DOE Joint Genome Institute Genome Portal | 2026-08-05 10:43:37 | 865 |
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