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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
WikiPathways Resource Report Resource Website 1000+ mentions |
WikiPathways (RRID:SCR_002134) | data or information resource, database, service resource | Open and collaborative platform dedicated to curation of biological pathways. Each pathway has dedicated wiki page, displaying current diagram, description, references, download options, version history, and component gene and protein lists. Database of biological pathways maintained by and for scientific community. | database, knowledge environment resource, image, web service, biological pathway, diagram description, reference, pathway, FASEB list |
is used by: NIF Data Federation is used by: Open PHACTS is related to: PharmGKB is related to: Reactome is related to: NetPath is related to: ConsensusPathDB is related to: NCBI BioSystems Database is related to: WebGestalt: WEB-based GEne SeT AnaLysis Toolkit has parent organization: University of California at San Francisco; California; USA has parent organization: Maastricht University; Maastricht; Netherlands |
Google Summer of Code program ; Netherlands Bioinformatics Centre ; NIGMS GM080223; NIGMS R01 GM100039; NIH ; NWO - Netherlands Organization for Scientific Research |
PMID:22096230 PMID:18651794 |
Free, Freely available | nif-0000-20925, r3d100013316 | SCR_002134 | Wiki Pathways | 2026-09-19 12:56:34 | 2013 | ||||||
|
PlantCyc Resource Report Resource Website 1000+ mentions |
PlantCyc (RRID:SCR_002110) | PMN | data or information resource, database, portal, project portal | Multi species reference database. Comprehensive plant biochemical pathway database, containing curated information from literature and computational analyses about genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism. | enzyme, gene, biochemical pathway, compound, metabolism, plant metabolic, reaction, database |
is listed by: Plant Metabolic Network has parent organization: Carnegie Institution for Science |
NSF 0640769; NSF 1026003 |
PMID:20522724 | Free, Available for download, Freely available | , nif-0000-20890, nlx_15806 plant | http://www.plantcyc.org/ | SCR_002110 | 2026-09-19 12:55:50 | 3659 | |||||
|
MetaCrop Resource Report Resource Website 1+ mentions |
MetaCrop (RRID:SCR_003100) | MetaCrop | data or information resource, database | Database that summarizes diverse information about metabolic pathways in crop plants and allows automatic export of information for the creation of detailed metabolic models. It contains manually curated, highly detailed information about metabolic pathways in crop plants, including pathway diagrams, reactions, locations, transport processes, reaction kinetics, taxonomy and literature. It contains information about seven major crop plants with high agronomical importance and two model plants. | metabolism, kinetic, enzyme, crop, pathway, substance, conversion, carbohydrate, lipid, cofactor, energy, nucleotide, amino acid, web service |
is listed by: re3data.org is related to: SBML has parent organization: Leibniz Institute of Plant Genetics and Crop Plant Research; Saxony-Anhalt; Germany |
PMID:22086948 PMID:17933764 PMID:20375443 |
Free, Freely available | nif-0000-03113, r3d100010123 | https://doi.org/10.17616/R33G6T | SCR_003100 | 2026-09-19 12:56:38 | 7 | ||||||
|
DATFAP Resource Report Resource Website |
DATFAP (RRID:SCR_005413) | DATFAP | data or information resource, database | A database of transcription factors from 13 plant species, and PCR primers for around 90% of them. | homolog, sequence, transcription factor |
is listed by: OMICtools is related to: Gene Ontology |
PMID:18366738 | Free | OMICS_00552 | SCR_005413 | Database of transcription factors with alignments and primers | 2026-09-19 12:56:51 | 0 | ||||||
|
RARTF Resource Report Resource Website 1+ mentions |
RARTF (RRID:SCR_013457) | RARTF | data or information resource, database | Database of complete sets of Arabidopsis transcription factors with a variety of information on Arabidopsis thaliana transcription factor families including: full-length cDNA sequences, Ds-tagged mutants, multiple sequences alignments of family members, phylogenic trees, functional motifs, and so on. In addition, expression profiles of all transcription factor genes are available. | transcription factor, protein, gene, microarray, expression profile |
is listed by: OMICtools is related to: InterProScan |
PMID:16769687 | Free | OMICS_00562 | SCR_013457 | RARTF: RIKEN Arabidopsis Transcription Factor database, RIKEN Arabidopsis Transcription Factor database | 2026-09-19 12:57:31 | 2 | ||||||
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EID: Exon-Intron Database Resource Report Resource Website 10+ mentions |
EID: Exon-Intron Database (RRID:SCR_002469) | EID | data or information resource, data set | Data sets of protein-coding intron-containing genes that contain gene information from humans, mice, rats, and other eukaryotes, as well as genes from species whose genomes have not been completely sequenced. This is a comprehensive and convenient dataset of sequences for computational biologists who study exon-intron gene structures and pre-mRNA splicing. The database is derived from GenBank release 112, and it contains protein-coding genes that harbor introns, along with extensive descriptions of each gene and its DNA and protein sequences, as well as splice motif information. They have created subdatabases of genes whose intron positions have been experimentally determined. The collection also contains data on untranslated regions of gene sequences and intron-less genes. For species with entirely sequenced genomes, species-specific databases have been generated. A novel Mammalian Orthologous Intron Database (MOID) has been introduced which includes the full set of introns that come from orthologous genes that have the same positions relative to the reading frames. | eukaryote genome, exon, exon-intro, gene structure, genome splicing, intron, ortholog, fasta, gene, protein-coding gene, splice, motif, gene prediction, structure, coding region |
is listed by: OMICtools has parent organization: University of Toledo; Ohio; USA |
PMID:16772261 PMID:10592221 |
Free, Available for download, Freely available | OMICS_01886, nif-0000-02793 | http://www.utoledo.edu/med/depts/bioinfo/database.html | http://www.meduohio.edu/bioinfo/eid/, http://mcb.harvard.edu/gilbert/EID | SCR_002469 | The Exon-Intron Database, Exon-Intron Database | 2026-09-19 12:58:34 | 11 | ||||
|
DNAtraffic Resource Report Resource Website |
DNAtraffic (RRID:SCR_008886) | DNAtraffic | data or information resource, database | DNAtraffic database is dedicated to be an unique comprehensive and richly annotated database of genome dynamics during the cell life. DNAtraffic contains extensive data on the nomenclature, ontology, structure and function of proteins related to control of the DNA integrity mechanisms such as chromatin remodeling, DNA repair and damage response pathways from eight model organisms commonly used in the DNA-related study: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Saccharomyces cerevisiae, Schizosaccharomyces pombe, Escherichia coli and Arabidopsis thaliana. DNAtraffic contains comprehensive information on diseases related to the assembled human proteins. Database is richly annotated in the systemic information on the nomenclature, chemistry and structure of the DNA damage and drugs targeting nucleic acids and/or proteins involved in the maintenance of genome stability. One of the DNAtraffic database aim is to create the first platform of the combinatorial complexity of DNA metabolism pathway analysis. Database includes illustrations of pathway, damage, protein and drug. Since DNAtraffic is designed to cover a broad spectrum of scientific disciplines it has to be extensively linked to numerous external data sources. Database represents the result of the manual annotation work aimed at making the DNAtraffic database much more useful for a wide range of systems biology applications. DNAtraffic database is freely available and can be queried by the name of DNA network process, DNA damage, protein, disease, and drug. | dna, cell cycle, genome, nomenclature, ontology, structure, function, protein, chromatin remodeling, dna repair, damage response pathway, pathway, damage, drug, annotation, disease, dna network process, dna damage, gene sequence, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Polish Academy of Sciences Warsaw; Warsaw; Poland |
Norwegian Financial Mechanism PNRF-143-AI-1/07; Polish Ministry of Science and Higher Education N N301 165835 |
PMID:22110027 | Free | biotools:dnatraffic, nlx_151312 | https://bio.tools/dnatraffic | SCR_008886 | DNAtraffic database | 2026-09-19 12:57:20 | 0 | ||||
|
PLAN2L Resource Report Resource Website |
PLAN2L (RRID:SCR_013346) | PLAN2L | data or information resource, database, service resource | A web-based online search system that integrates text mining and information extraction techniques to access systematically information useful for analyzing genetic, cellular and molecular aspects of the plant model organism Arabidopsis thaliana. The system facilitates a more efficient retrieval of information relevant to heterogeneous biological topics, from implications in biological relationships at the level of protein interactions and gene regulation, to sub-cellular locations of gene products and associations to cellular and developmental processes, i.e. cell cycle, flowering, root, leaf and seed development. Beyond single entities, also predefined pairs of entities can be provided as queries for which literature-derived relations together with textual evidences are returned. | text mining, bio-entity relation extraction, literature, information extraction, cell cycle, regulation, protein interaction, cellular location, flowering, leave, root, seed, gene, normalization, interaction, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Spanish National Cancer Research Center |
PMID:19520768 | OMICS_01192, biotools:plan2l | https://bio.tools/plan2l | SCR_013346 | PLAN2L: Plant Annotation to Literature, Plant annotation to literature | 2026-09-19 12:57:29 | 0 | ||||||
|
VIB Compound Screening Facility Resource Report Resource Website |
VIB Compound Screening Facility (RRID:SCR_012256) | VIB CSF, VIB-CSF | service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Compound screening facility that has several drug-like compound collections available that amount to a total of about 74,000 compounds and a human siRNA library that targets almost 8,000 genes. State-of-the-art liquid handling systems and detection technologies are available for screening in-house or custom collections in 96- or 384-well plate format. The platform is compatible with biochemical assays, cell-based assays in a broad range of cellular systems and assays in the model plant Arabidopsis thaliana. Its core activities consist of managing the VIB screening collections, assisting researchers in assay development / automation and performing high-throughput screenings. After hit clustering and selection, the VIB-CSF team can contribute in structure-activity analysis, IC50 measurements, cytotoxicity analysis, secondary screening for hit validation and counter screening for specificity analysis. |
is listed by: ScienceExchange has parent organization: VIB; Flanders; Belgium has parent organization: Ghent University; Ghent; Belgium |
THIS RESOURCE IS NO LONGER IN SERVICE | SciEx_11102 | SCR_012256 | VIB Compound Screening Facility (CSF) | 2026-09-19 12:59:06 | 0 | ||||||||
|
Mikado Resource Report Resource Website 50+ mentions |
Mikado (RRID:SCR_016159) | software resource, source code | Mikado is a lightweight Python3 pipeline whose purpose is to facilitate the identification of expressed loci from RNA-Seq data * and to select the best models in each locus. | annotation, rna-seq, genomics, transcriptomics | is related to: Portcullis | BBSRC BB/CCG1720/1; BBSRC BB/CSP17270/1; BBSRC BB/J004669/1; BBSRC BB/J010375/1 |
DOI:10.1101/216994 | Free, Available for download | http://mikado.readthedocs.io/ | SCR_016159 | 2026-09-19 12:59:27 | 93 | |||||||
|
Organelle DB Resource Report Resource Website 1+ mentions |
Organelle DB (RRID:SCR_007837) | Organelle DB | d spatial image, data or information resource, data repository, database, image collection, service resource, storage service resource | Database of organelle proteins, and subcellular structures / complexes from compiled protein localization data from organisms spanning the eukaryotic kingdom. All data may be downloaded as a tab-delimited text file and new localization data (and localization images, etc) for any organism relevant to the data sets currently contained in Organelle DB is welcomed. The data sets in Organelle DB encompass 138 organisms with emphasis on the major model systems: S. cerevisiae, A. thaliana, D. melanogaster, C. elegans, M. musculus, and human proteins as well. In particular, Organelle DB is a central repository of yeast protein localization data, incorporating results from both previous and current (ongoing) large-scale studies of protein localization in Saccharomyces cerevisiae. In addition, we have manually curated several recent subcellular proteomic studies for incorporation in Organelle DB. In total, Organelle DB is a singular resource consolidating our knowledge of the protein composition of eukaryotic organelles and subcellular structures. When available, we have included terms from the Gene Ontologies: the cellular component, molecular function, and biological process fields are discussed more fully in GO. Additionally, when available, we have included fluorescent micrographs (principally of yeast cells) visualizing the described protein localization. Organelle View is a visualization tool for yeast protein localization. It is a visually engaging way for high school and undergraduate students to learn about genetics or for visually-inclined researchers to explore Organelle DB. By revealing the data through a colorful, dimensional model, we believe that different kinds of information will come to light. | gene, fly, vertebrate, human, mouse, plant, worm, yeast, protein, k-12, organelle, protein localization, function, subcellular structure, protein complex, sequence, annotation, micrograph, visualization, data analysis service |
is related to: Gene Ontology has parent organization: University of Michigan; Ann Arbor; USA |
American Cancer Society Research Scholar Grant RSG-06-179-01-MBC; March of Dimes Basil O'Connor Starter Scholar Research award 5-FY05-1224; NSF DBI-0543017 |
PMID:17130152 PMID:15608270 |
Free, Acknowledgement requested | nif-0000-03226 | SCR_007837 | Organelle DB: A Database of Organelles and Protein Complexes | 2026-09-19 12:51:32 | 7 | |||||
|
EGAN: Exploratory Gene Association Networks Resource Report Resource Website 1+ mentions |
EGAN: Exploratory Gene Association Networks (RRID:SCR_008856) | EGAN | data analysis software, data processing software, software application, software resource | Exploratory Gene Association Networks (EGAN) is a software tool that allows a bench biologist to visualize and interpret the results of high-throughput exploratory assays in an interactive hypergraph of genes, relationships (protein-protein interactions, literature co-occurrence, etc.) and meta-data (annotation, signaling pathways, etc.). EGAN provides comprehensive, automated calculation of meta-data coincidence (over-representation, enrichment) for user- and assay-defined gene lists, and provides direct links to web resources and literature (NCBI Entrez Gene, PubMed, KEGG, Gene Ontology, iHOP, Google, etc.). EGAN functions as a module for exploratory investigation of analysis results from multiple high-throughput assay technologies, including but not limited to: * Transcriptomics via expression microarrays or RNA-Seq * Genomics via SNP GWAS or array CGH * Proteomics via MS/MS peptide identifications * Epigenomics via DNA methylation, ChIP-on-Chip or ChIP-Seq * In-silico analysis of sequences or literature EGAN has been built using Cytoscape libraries for graph visualization and layout, and is comparable to DAVID, GSEA, Ingenuity IPA and Ariadne Pathway Studio. There are pre-collated EGAN networks available for human (Homo sapiens), mouse (Mus musculus), rat (Rattus norvegicus), chicken (Gallus gallus), zebrafish (Danio rerio), fruit fly (Drosophila melanogaster), nematode (Caenorhabditis elegans), mouse-ear cress (Arabidopsis thaliana), rice (Oryza sativa) and brewer's yeast (Saccharomyces cerevisiae). There is now an EGAN module available for GenePattern (human-only). Platform: Windows compatible, Mac OS X compatible, Linux compatible | gene, gene association, network, protein-protein interaction, pathway, interaction, annotation, signaling pathway, enrichment, cytoscape, visualization |
is listed by: 3DVC is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: Cytoscape has parent organization: UCSF Helen Diller Family Comprehensive Cancer Center Biostatistics Core |
NCI P30 CA92103 | PMID:19933825 | Free for academic use | nlx_149222 | SCR_008856 | Exploratory Gene Association Networks, Exploratory Gene Association Networks (EGAN) | 2026-09-19 12:51:46 | 8 | |||||
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Arabidopsis thaliana Genome Database Resource Report Resource Website 10+ mentions |
Arabidopsis thaliana Genome Database (RRID:SCR_001901) | AtGDB | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Database providing a sequence-centered genome view for Arabidopsis thaliana, with a narrow focus on gene structure annotation. The current genome assembly displayed at AtGDB is version TAIR9. Annotated gene models are TAIR10. They have mapped the complete set of 176,915 publicly available Arabidopsis EST sequences onto the Arabidopsis genome using GeneSeqer, a spliced alignment program incorporating sequence similarity and splice site scoring. About 96% of the available ESTs could be properly aligned with a genomic locus, with the remaining ESTs deriving from organelle genomes and non-Arabidopsis sources or displaying insufficient sequence quality for alignment. The mapping provides verified sets of EST clusters for evaluation of EST clustering programs. Analysis of the spliced alignments suggests corrections to current gene structure annotation and provides examples of alternative and non-canonical pre-mRNA splicing. | expressed sequence tag, est sequence, contig, gene structure, genome, arabidopsis thaliana, cdna, plant database, blast, annotation | has parent organization: Iowa State University; Iowa; USA | NSF IOS-0606909; NSF DBI-0110254; NSF DBI-0321600 |
PMID:16219921 PMID:14681433 PMID:12805580 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-02582 | SCR_001901 | Arabidopsis thaliana Genome DB | 2026-09-19 12:49:49 | 10 | |||||
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Arabidopsis Hormone Database Resource Report Resource Website 10+ mentions |
Arabidopsis Hormone Database (RRID:SCR_001792) | AHD, AHD2.0 | controlled vocabulary, data or information resource, data repository, database, ontology, service resource, storage 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 | 2026-09-19 12:49:47 | 28 | |||||
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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, service resource, storage 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 | 2026-09-19 12:49:51 | 8 | ||||
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InteroPorc Resource Report Resource Website 1+ mentions |
InteroPorc (RRID:SCR_002067) | InteroPorc | analysis service resource, data analysis service, data analysis software, data or information resource, data processing software, database, production service resource, service resource, software application, software resource, source code | Automatic prediction tool to infer protein-protein interaction networks, it is applicable for lots of species using orthology and known interactions. The interoPORC method is based on the interolog concept and combines source interaction datasets from public databases as well as clusters of orthologous proteins (PORC) available on Integr8. Users can use this page to ask InteroPorc for all species present in Integr8. Some results are already computed and users can run InteroPorc to investigate any other species. Currently, the following databases are processed and merged (with datetime of the last available public release for each database used): IntAct, MINT, DIP, and Integr8. | orthology, prediction, protein interaction, tool, sequenced genome, proteinprotein interaction, inferred interaction, molecular interaction, interaction, protein, bio.tools |
is listed by: bio.tools is listed by: Debian is related to: Integr8 : Access to complete genomes and proteomes is related to: IntAct is related to: MINT is related to: Database of Interacting Proteins (DIP) is related to: PSICQUIC Registry has parent organization: CEA; Gif sur Yvette; France |
European Union FELICS 021902 RII3; Marie Curie Fellowship ; French National Agency of Research ANR Biosys06_134823 SULFIRHOM; French Atomic Energy Commission |
PMID:18508856 | Open unspecified license, Acknowledgement requested | nif-0000-20816, biotools:interoporc | https://bio.tools/interoporc | SCR_002067 | InteroPorc: Automatic molecular interaction predictions, Automatic molecular interaction predictions | 2026-09-19 12:49:52 | 6 | ||||
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PubSearch Resource Report Resource Website 1+ mentions |
PubSearch (RRID:SCR_005830) | PubSearch | data or information resource, database, service resource, software resource | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. PubSearch is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. PubSearch can be downloaded from GMOD. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, annotate, editor, literature curation tool, literature, ontology or annotation editor |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: TAIR has parent organization: Stanford University; Stanford; California |
NHGRI R01HG02728 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149338 | SCR_005830 | 2026-09-19 12:51:00 | 1 | |||||||
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mirEX Resource Report Resource Website 10+ mentions |
mirEX (RRID:SCR_006060) | mirEX | analysis service resource, atlas, data analysis service, data or information resource, database, production service resource, service resource | mirEX is a comprehensive platform for comparative analysis of primary microRNA expression data. quantitative real-time PCR-based gene expression profiles are stored in a universal and expandable database scheme and wrapped by an intuitive user-friendly interface. A new way of accessing gene expression data in mirEX includes a simple mouse operated querying system and dynamic graphs for data mining analyses. In contrast to other publicly available databases, the mirEX interface allows a simultaneous comparison of expression levels between various microRNA genes in diverse organs and developmental stages. Currently, mirEX integrates information about the expression profile of 190 Arabidopsis thaliana pri-miRNAs in seven different developmental stages: seeds, seedlings and various organs of mature plants. Additionally, by providing RNA structural models, publicly available deep sequencing results, experimental procedure details and careful selection of auxiliary data in the form of web links, mirEX can function as a one-stop solution for Arabidopsis microRNA information. This database aims to be useful to anyone investigating the role of microRNAs in shaping plant development, organ formation and response to different biotic and abiotic stresses. To start exploring the database just press the "Browse Atlas" button or search for a particular microRNA record by typing at least two numbers from its ID in the window. | microrna gene expression, microrna, gene expression, gene, organ, developmental stage, plant, seed, seedling, mature plant, pri-mirna, biotic stress, abiotic stress, organ formation, primer, cdna | has parent organization: Adam Mickiewicz University in Poznan; Poznan; Poland | Foundation for Polish Science ; European Union ; Regional Development Fund MPD 2010/3; Polish Ministry of Science and Higher Education 3011/B/P01/2009/37 |
PMID:22013167 | nlx_151462 | http://bioinfo.amu.edu.pl/mirex | SCR_006060 | 2026-09-19 12:51:04 | 10 | ||||||
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CSHL - Hannon Lab Resource Report Resource Website 50+ mentions |
CSHL - Hannon Lab (RRID:SCR_005982) | Hannon Lab | data or information resource, laboratory portal, organization portal, portal | The Hannon laboratory comprises a broad spectrum of programs in small RNA biology, mammalian genetics and genomics. We study RNAi and related pathways in a wide variety of organisms to extract common themes that define both the mechanisms by which small RNAs act and the biological processes which they impact. Currently, we focus on microRNAs, endogenous siRNAs and piRNAs and their roles in gene regulation, cancer biology, stem cell biology and in defense of the genome against transposons. In collaboration with Steve Elledge (Harvard) and Scott Lowe (CSHL), we develop genome-wide shRNA tools for RNAi-based genetics in mammalian cells, and we are now producing similar collections of artificial microRNAs for Arabidopsis with Detlef Weigel (MPI), Dick McCombie (CSHL) and Rob Martienssen (CSHL) as part of the 2010 project (see 2010.cshl.edu). Our genomic efforts include the application of RNAi-based genetic screens to cancer biology and stem cells. We also make heavy use of next generation sequencing methodologies for probing small RNA populations, in part as a member of the ENCODE consortium (with Tom Gingeras, CSHL). Finally, we develop (with Dick McCombie) and apply focal re-sequencing methods for identifying disease relevant mutations, for probing the epigenetic landscape and for the study of human evolution. | rnai, rna, mammal, genetics, genomics, microrna, sirna, pirna, gene regulation, cancer biology, stem cell biology, defense, genome, transposon, cancer, stem cell | has parent organization: Cold Spring Harbor Laboratory | nlx_151354 | SCR_005982 | Cold Spring Harbor Laboratory - Hannon Lab | 2026-09-19 12:51:02 | 70 | ||||||||
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TAIR Resource Report Resource Website 5000+ mentions |
TAIR (RRID:SCR_004618) | TAIR, AGI LocusCode | data or information resource, database | Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided. | genetic, molecular biology, gene, genome, structure, product, metabolism, gene expression, dna, seed stock, genome map, genetic marker, physical marker, genome sequence, gene product, blast, experimental protocol, gold standard |
is used by: NIF Data Federation is listed by: OMICtools is listed by: re3data.org is listed by: DataCite is related to: AmiGO is related to: Saskatoon Arabidopsis T-DNA mutant population SK Collection is related to: CLENCH has parent organization: Carnegie Institution for Science is parent organization of: TAIR Keyword Browser is parent organization of: PubSearch |
NSF DBI-0850219; corporate and nonprofit organizations |
PMID:22140109 PMID:17986450 PMID:12444417 PMID:12519987 PMID:18287693 |
r3d100010185, nlx_61477, OMICS_01662 | https://doi.org/10.17616/R3QW21 | SCR_004618 | AGI LocusCode, The Arabidopsis Information Resource | 2026-09-19 12:50:40 | 9170 |
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If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
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