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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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aGEM Resource Report Resource Website 10+ mentions |
aGEM (RRID:SCR_013349) | aGEM | data or information resource, database | Database platform of an integrated view of eight databases (mouse gene expression resources: EMAGE, GXD, GENSAT, BioGPS, ABA, EUREXPRESS; human gene expression databases: HUDSEN, BioGPS and Human Protein Atlas) that allows the experimentalist to retrieve relevant statistical information relating gene expression, anatomical structure (space) and developmental stage (time). Moreover, general biological information from databases such as KEGG, OMIM and MTB is integrated too. It can be queried using gene and anatomical structure. Output information is presented in a friendly format, allowing the user to display expression maps and correlation matrices for a gene or structure during development. An in-depth study of a specific developmental stage is also possible using heatmaps that relate gene expression with anatomical components. This is a powerful tool in the gene expression field that makes easy the access to information related to the anatomical pattern of gene expression in human and mouse, so that it can complement many functional genomics studies. The platform allows the integration of gene expression data with spatial-temporal anatomic data by means of an intuitive and user friendly display., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, anatomy, gene expression, anatomical structure, developmental stage, functional genomics, genomics |
is related to: EMAGE Gene Expression Database is related to: Gene Expression Database is related to: Gene Expression Nervous System Atlas is related to: BioGPS: The Gene Portal Hub is related to: Allen Mouse Brain Reference Atlas is related to: Eurexpress is related to: HUDSEN is related to: The Human Protein Atlas is related to: OMIM is related to: KEGG has parent organization: Autonomous University of Madrid; Madrid; Spain |
National Institute for Bioinformatics ; AMIT Programme CDTI CEN-20101014; RESOLVE UE CE:FP7-202047; Ministerio de Ciencia e Innovacion BIO2010-16566; Biostruct-X FP7-Infrastructures-2011-1; Centrosoma 3D CSD2006-00023 |
PMID:22106336 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152022 | SCR_013349 | anatomic Gene Expression Mapping | 2026-02-11 10:58:44 | 12 | |||||
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MIPS Ustilago maydis Database Resource Report Resource Website 1+ mentions |
MIPS Ustilago maydis Database (RRID:SCR_007563) | data or information resource, database | The MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis. The underlying sequence is the initial release of the high quality draft sequence of the Broad Institute. The goal of the MIPS database is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The specific aims are to: 1. Generate and assemble Whole Genome Shotgun sequence reads yielding 10X coverage of the U. maydis genome 2. Integrate the genomic sequence assembly with physical maps generated by Bayer CropScience 3. Perform automated annotation of the sequence assembly 4. Align the strain 521 assembly with the FB1 assembly provided by Exelixis 5. Release the sequence assembly and results of our annotation and analysis to public Ustilago maydis is a basidiomycete fungal pathogen of maize and teosinte. The genome size is approximately 20 Mb. The fungus induces tumors on host plants and forms masses of diploid teliospores. These spores germinate and form haploid meiotic products that can be propagated in culture as yeast-like cells. Haploid strains of opposite mating type fuse and form a filamentous, dikaryotic cell type that invades plant tissue to reinitiate infection. Ustilago maydis is an important model system for studying pathogen-host interactions and has been studied for more than 100 years by plant pathologists. Molecular genetic research with U. maydis focuses on recombination, the role of mating in pathogenesis, and signaling pathways that influence virulence. Recently, the fungus has emerged as an excellent experimental model for the molecular genetic analysis of phytopathogenesis, particularly in the characterization of infection-specific morphogenesis in response to signals from host plants. Ustilago maydis also serves as an important model for other basidiomycete plant pathogens that are more difficult to work with in the laboratory, such as the rust and bunt fungi. Genomic sequence of U. maydis will also be valuable for comparative analysis of other fungal genomes, especially with respect to understanding the host range of fungal phytopathogens. The analysis of U. maydis would provide a framework for studying the hundreds of other Ustilago species that attack important crops, such as barley, wheat, sorghum, and sugarcane. Comparisons would also be possible with other basidiomycete fungi, such as the important human pathogen C. neoformans. Commercially, U. maydis is an excellent model for the discovery of antifungal drugs. In addition, maize tumors caused by U. maydis are prized in Hispanic cuisine and there is interest in improving commercial production. The complete putative gene set of the Broad Institute''s second release is loaded into the database and in addition all deviating putative genes from a putative gene set produced by MIPS with different gene prediction parameters are also loaded. The complete dataset will then be analysed, gene predictions will be manually corrected due to combined information derived from different gene prediction algorithms and, more important, protein and EST comparisons. Gene prediction will be restricted to ORFs larger than 50 codons; smaller ORFs will be included only if similarities to other proteins or EST matches confirm their existence or if a coding region was postulated by all prediction programs used. The resulting proteins will be annotated. They will be classified according to the MIPS classification catalogue receiving appropriate descriptions. All proteins with a known, characterized homolog will be automatically assigned to functional categories using the MIPS functional catalog. All extracted proteins are in addition automatically analysed and annotated by the PEDANT suite. | drug, environment, filamentous, functional, fungal, fungal genome databases, fungus, gene, genetic, basidiomycete, cell, codon, culture, dikaryotic, diploid, genome, genomic, germinate, haploid, host, human, infection, maize, mating, meiotic, model, molecular, morphogenesis, network, orf, pathogen, pathologist, phytopathogen, phytopathogenesis, plant, protein, recombination, sequence, signal, spore, strain, structure, teliospore, teosinte, tissue, tumor, ustilago maydis, virulence, yeast | nif-0000-21276 | SCR_007563 | MUMDB | 2026-02-11 10:57:37 | 9 | ||||||||||
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GOA Resource Report Resource Website 500+ mentions |
GOA (RRID:SCR_007691) | GOA, GOA REF | data or information resource, database | An annotation program which aims to provide high-quality Gene Ontology (GO) annotations to proteins in the UniProt Knowledgebase (UniProtKB) and International Protein Index (IPI). It is a central dataset for other major multi-species databases, such as Ensembl and NCBI. Because of the multi-species nature of the UniProtKB, UniProtKB-GOA assists in the curation of 200,000 species. This involves electronic annotation and the integration of high-quality manual GO annotation from all GO Consortium model organism groups and specialist groups. Gene Association Files can be accessed from the Downloads section of the website. | gene ontology, chicken proteome, cow proteome, human proteome, xref, gene, gene association, gold standard |
is listed by: GUDMAP Ontology is listed by: NIDDK Information Network (dkNET) is related to: FlyMine is related to: UniProt DAS is related to: IT-GOM: Integrated Tool for IC-based GO Semantic Similarity Measures has parent organization: European Bioinformatics Institute |
Public, Available to the research community, All UniProtKB-GOA Gene Association Files are released approximately every four weeks | nif-0000-02916 | SCR_007691 | UniProtKB-GOA, Gene Ontology Annotation (UniProtKB-GOA) Database, GOA - Gene Ontology Annotation, Gene Ontology Annotation, GO Annotation at EBI | 2026-02-11 10:57:40 | 570 | |||||||
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SYSTERS Resource Report Resource Website 1+ mentions |
SYSTERS (RRID:SCR_007955) | data or information resource, database | SYSTERS is a database of protein sequences grouped into homologous families and superfamilies. The SYSTERS project aims to provide a meaningful partitioning of the whole protein sequence space by a fully automatic procedure. A refined two-step algorithm assigns each protein to a family and a superfamily. The sequence data underlying SYSTERS release 4 now comprise several protein sequence databases derived from completely sequenced genomes (ENSEMBL, TAIR, SGD and GeneDB), in addition to the comprehensive Swiss-Prot/TrEMBL databases. To augment the automatically derived results, information from external databases like Pfam and Gene Ontology are added to the web server. Furthermore, users can retrieve pre-processed analyses of families like multiple alignments and phylogenetic trees. New query options comprise a batch retrieval tool for functional inference about families based on automatic keyword extraction from sequence annotations. A new access point, PhyloMatrix, allows the retrieval of phylogenetic profiles of SYSTERS families across organisms with completely sequenced genomes. Gene, Human, Vertebrate, Genome, Human ORFs | family, gene, genome, human, human orfs, protein, superfamily, vertebrate | has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany | nif-0000-03528 | SCR_007955 | SYSTERS | 2026-02-11 10:57:43 | 7 | |||||||||
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Krogan Lab Interactome Database Resource Report Resource Website 10+ mentions |
Krogan Lab Interactome Database (RRID:SCR_008121) | data or information resource, database | This database currently holds E-MAP scores (individual interactions and correlation coefficients) for budding yeast genes involved in the early secretory pathway and chromosome function (including DNA damage and repair, transcriptional control, chromosome segregation and telomere regulation). E-MAPs (Epistatic Mini Array Profiles) are formed by creating and quantifying high-density genetic interaction maps. With this method, observed double mutant colony sizes are compared to those that would be expected from a distribution of typical double mutant colonies of each strain. Each interaction is assigned a score, which indicates the magnitude of the difference from the expected value and the certainty of the score. Negative (or aggravating) scores (< -2.5) correspond to synthetic sick/lethal interactions while positive (or alleviating) scores (> +2.5) corresponds to epistatic or suppressor interactions. | function, gene, chromosome, dna, pathway, secretory, telomere regulation, transcriptional control, yeast | has parent organization: University of California at San Francisco; California; USA | nif-0000-20868 | SCR_008121 | Interactome | 2026-02-11 10:57:45 | 15 | |||||||||
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Invitrogen iPath Resource Report Resource Website 50+ mentions |
Invitrogen iPath (RRID:SCR_008120) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. LINNEA Pathways is a user-friendly comprehensive online resource for gene- or protein-based scientific research. It is based on a total of 248 signaling and metabolic human biological pathway maps created for Invitrogen by GeneGo. The current version of iPath features 225 maps displaying human regulatory and metabolic pathways established in experimental literature produced by MetaCore from GeneGo, Inc. The map objects (proteins, genes, EC functions, and compounds) are connected via metabolic transformations and physical protein interactions, which were assembled by the GeneGo team of experienced annotators, geneticists, and biochemists. The pathways are organized in a vertical fashion following the general signaling path from signaling molecules and membrane receptors, via signal transduction cascades, to transcription factors and their gene targets. Following the natural organization of cellular machinery with highly interconnected pathways and modules, many maps are linked together via hyperlinked box symbols. Such linkage allows the reconstruction of a big picture view of human cell biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, genetic, metabolic, molecule, pathway, protein, receptor, research, signaling | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20864 | SCR_008120 | iPath | 2026-02-11 10:57:45 | 88 | |||||||||
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Intergrated Transcription Factor Platform Resource Report Resource Website 10+ mentions |
Intergrated Transcription Factor Platform (RRID:SCR_008119) | data or information resource, database | ITFP is an integrated transcription factor (TF) platform, which included abundant TFs and targets message of mammalian. Support vector machine (SVM) algorithm combined with error-correcting output coding (ECOC) algorithm was utilized to identify and classify transcription factor from protein sequence of Human, Mouse and Rat. For transcription factor targets, a reverse engineering method named ARACNE was used to derive potential interaction pairs between transcription factor and downstream regulated gene from Human, Mouse and Rat gene expression profile data. Detailed information of gene expression profile data can be found in help page. Moreover, all data provided by the platform is free for non-commercial users and can be downloaded through links on help page. | expression, gene, human, message, mouse, protein, rat, sequence, target, transcription factor | has parent organization: Fudan University; Shanghai; China | nif-0000-20862 | SCR_008119 | ITFP | 2026-02-11 10:57:55 | 25 | |||||||||
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Ingenuity Pathways Knowledge Base Resource Report Resource Website 1000+ mentions |
Ingenuity Pathways Knowledge Base (RRID:SCR_008117) | data or information resource, database | A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base . | gene, life science, molecule, protein, research, software, ontology, knowledge base, FASEB list |
is used by: Ingenuity Pathway Analysis is listed by: SoftCite has parent organization: QIAGEN |
Available to the research community, Commercial | nif-0000-20858 | SCR_008117 | Ingenuity Knowledge Base | 2026-02-11 10:57:45 | 4627 | ||||||||
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Microbial Genomics Program Resource Report Resource Website 1+ mentions |
Microbial Genomics Program (RRID:SCR_008140) | data or information resource, database | Through its Microbial Genome Program (MGP) and its Genomics:GTL (GTL) program, DOEs Office of Biological and Environmental Research (BER) has sequenced more than 485 microbial genomes and 30 microbial communities having specialized biological capabilities. Identifying these genes will help investigators discern how gene activities in whole living systems are orchestrated to solve myriad life challenges. The MGP was begun in 1994 as a spinoff from the Human Genome Program. The goal of the program was to sequence the genomes of a number of nonpathogenic microbes that would be useful in solving DOE''s mission challenges in environmental-waste cleanup, energy production, carbon cycling, and biotechnology. Past projects include microbial genome program, microbial cell project, and the Laboratory Science Program at the DOE Joint Genome Institute. The two ongoing projects are Genomics: GTL program and Community Sequencing Program at the DOE Joint Genome Institute. Sponsors: Site sponsored by the U.S. Department of Energy Office of Science, Office of Biological and Environmental Research, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | energy, environmental, gene, biological, biotechnology, carbon, community, cylcling, genome, genomic, living, microbes, microbial, nonpathogenic, system | has parent organization: United States Department of Energy | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20962 | SCR_008140 | MGP | 2026-02-11 10:57:56 | 2 | ||||||||
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BoLA Nomenclature: International Society for Animal Genetics Resource Report Resource Website 10+ mentions |
BoLA Nomenclature: International Society for Animal Genetics (RRID:SCR_008142) | data or information resource, database | This website is intended to be the definitive source of information on the bovine major histocompatibility complex - its genes, proteins and polymorphism. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The BoLA nomenclature committee is a standing committee of the International Society for Animal Genetics. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The information gathered here is based on the BoLA workshop reports, which are published in Animal Genetics and the European Journal of Immunogenetics. The workshop report data are reproduced with the permission of the publishers Blackwell Science, and other text on the site is used with the permission of CRC Press. | gene, genetic, animal, antigen, bovine, complex, histocompatibility, immunogenetic, leucocyte, nomenclature, polymorphism, protein, journal article | has parent organization: University of Edinburgh; Scotland; United Kingdom | nif-0000-20967 | http://www.projects.roslin.ac.uk/bola/bolahome.html | SCR_008142 | International Society for Animal Genetics | 2026-02-11 10:57:45 | 16 | ||||||||
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Mammalian Protein Complex Data Base Resource Report Resource Website |
Mammalian Protein Complex Data Base (RRID:SCR_008209) | data or information resource, database | A database of manually annotated mammalian protein complexes. To obtain a high-quality dataset, information was extracted from individual experiments described in the scientific literature. Data from high-throughput experiments was not included. | gene, genome, mammalian, protein, proteomics, structure | The Munich Information Center for Protein Sequences ; MPCDB |
nif-0000-21273 | SCR_008209 | 2026-02-11 10:57:46 | 0 | ||||||||||
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AnoBase: An Anopheles database Resource Report Resource Website 1+ mentions |
AnoBase: An Anopheles database (RRID:SCR_008166) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on November 22, 2023. A database containing genomic/biological information on anopheline mosquitoes, with an emphasis on Anopheles gambiae, the world''''s most important malaria vector. AnoBase is an integrated, relational database of basic biological and genetic data on anopheline species, with a particular emphasis on Anopheles gambiae. It has been designed as an information source and research support tool for the broad vector biology community. Although AnoBase is not a primary genomic database that develops and provides tools to access the genome of the malaria mosquito, it nevertheless contains several sections that offer data of genomic interest such as in situ hybridization images, an integrated gene tool and direct online access to AnoXcel, the proteomic database of An. gambiae. Moreover, AnoBase also contains information on non-gambiae mosquito species and a novel section on studies related to insecticide resistance. | gene, genetic, anopheles gambiae, anopheline, biological, biology, community, genomic, in-situ hybridization, insecticide, invertebrate databases, malaria, mosquito, proteomic, specie, vector, image |
is related to: VectorBase has parent organization: Foundation for Research and Technology-Hellas; Heraklion; Greece is parent organization of: Malaria Ontology |
NIAID | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21031 | http://www.anobase.org/ | SCR_008166 | AnoBase | 2026-02-11 10:57:46 | 2 | ||||||
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Migratory Locust EST Database Resource Report Resource Website 1+ mentions |
Migratory Locust EST Database (RRID:SCR_008201) | data or information resource, database | The migratory locust (Locusta migratoria) is an orthopteran pest and a representative member of hemimetabolous insects. Its transcriptomic data provide invaluable information for molecular entomology study of the insect and pave a way for comparative studies of other medically, agronomically, and ecologically relevant insects. This first transcriptomic database of the locust (LocustDB) has been developed, building necessary infrastructures to integrate, organize, and retrieve data that are either currently available or to be acquired in the future. It currently hosts 45,474 high quality EST sequences from the locust, which were assembled into 12,161 unigenes. This database contains original sequence data, including homologous/orthologous sequences, functional annotations, pathway analysis, and codon usage, based on conserved orthologous groups (COG), gene ontology (GO), protein domain (InterPro), and functional pathways (KEGG). It also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. LocustDB also provides information from comparative analysis based on data from the migratory locust and five other invertebrate species, such as the silkworm, the honeybee, the fruitfly, the mosquito and the nematode. It starts with the first transcriptome information for an orthopteran and hemimetabolous insect and will be extended to provide a framework for incorporation of in-coming genomic data of relevant insect groups and a workbench for cross-species comparative studies. | ecologically, entomology, est, fruitfly, functional, gene, agronomically, analysis, annotation, codon, comparative, data, domain, genomic, hemimetabolous, homologous, honeybee, insect, invertebrate, invertebrate databases, locust, locusta migratoria, medically, migratory, molecular, mosquito, nematode, orthologous, orthopteran, pathway, pest, protein, sequence, silkworm, specie, transcriptome, transcriptomic, unigene, ontology | has parent organization: BGI; Shenzhen; China | nif-0000-21244 | SCR_008201 | LocustDB | 2026-02-11 10:57:46 | 7 | |||||||||
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LitMiner Resource Report Resource Website 1+ mentions |
LitMiner (RRID:SCR_008200) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The LitMiner software is a literature data-mining tool that facilitates the identification of major gene regulation key players related to a user-defined field of interest in PubMed abstracts. The prediction of gene-regulatory relationships is based on co-occurrence analysis of key terms within the abstracts. LitMiner predicts relationships between key terms from the biomedical domain in four categories (genes, chemical compounds, diseases and tissues). The usefulness of the LitMiner system has been demonstrated recently in a study that reconstructed disease-related regulatory networks by promoter modeling that was initiated by a LitMiner generated primary gene list. To overcome the limitations and to verify and improve the data, we developed WikiGene, a Wiki-based curation tool that allows revision of the data by expert users over the Internet. It is based on the annotation of key terms in article abstracts followed by statistical co-citation analysis of annotated key terms in order to predict relationships. Key terms belonging to four different categories are used for the annotation process: -Genes: Names of genes and gene products. Gene name recognition is based on Ensembl . Synonyms and aliases are resolved. -Chemical Compounds: Names of chemical compounds and their respective aliases. -Diseases and Phenotypes: Names of diseases and phenotypes -Tissues and Organs: Names of tissues and organs LitMiner uses a database of disease and phenotype terms for literature annotation. Currently, there are 2225 diseases or phenotypes, 801 tissues and organs, and 10477 compounds in the database. | gene, biomedical, chemical, compound, disease, identification, literature, medline interfaces, mining, modeling, phenotype, promoter, regulation, regulatory, relationship, tissue, tool, bio.tools |
is listed by: bio.tools is listed by: Debian |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21241, biotools:litminer | https://bio.tools/litminer | SCR_008200 | LitMiner | 2026-02-11 10:57:47 | 2 | |||||||
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AltSplice Database of Alternative Spliced Events Resource Report Resource Website 1+ mentions |
AltSplice Database of Alternative Spliced Events (RRID:SCR_008162) | data or information resource, database | AltSplice is a computer generated high quality data set of human transcript-confirmed splice patterns, alternative splice events, and the associated annotations. This data is being integrated with other data that is generated by other members of the ASD consortium. The ASD project will provide the following in its three year duration: -human curated database of alternative spliced genes and their properties -a computer generated database of alternatively spliced genes and their properties -the integration of the above and newly found knowledge in a user-friendly interface and research workbench for both bioinformaticists and biologists -DNA chips that are based on the data in the above databases -the DNA chips will be used to test against predisposition for and diagnoses of human diseases ASD aims to analyse this mechanism on a genome-wide scale by creating a database that contains all alternatively spliced exons from human, and other model species. Disease causing mutations seem to induce aberrations in the process of splicing and its regulation. The ASD consortium will develop a DNA microarray (chip) that contains cDNAs of all the splicing regulatory proteins and their isoforms, as well as a chip that contains a number of disease relevant genes. We will concentrate on three models of disease (breast cancer, FTDP-17, male infertility) in which a connection between mis-splicing and a pathological state has been observed. Finally, these chips will be developed as demonstrative kits to detect predisposition for and diagnosis of such diseases. Categories: Nucleotide Sequences: Gene Structure, Introns and Exons, & Splice Sites Databases | event, exon, gene, alternative, annotation, bioinformatic, biology, breast cancer, cdna, chip, diagnosis, disease, dna, human, infertility, intron, isoform, male, microarray, mis-splicing, model, nucleotide, pathological, pattern, property, protein, regulatory, splice, splicing, structure, transcript | has parent organization: European Molecular Biology Laboratory | nif-0000-21021 | SCR_008162 | AltSplice Database of Alternative Spliced Events | 2026-02-11 10:57:46 | 3 | |||||||||
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Alternative Exon Database Resource Report Resource Website |
Alternative Exon Database (RRID:SCR_008157) | AEdb | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented on March 27, 2013. A manual generated database for alternative exons and their properties from numerous species - the data is gathered from literature where these exons have been experimentally verified. Most alternative exons are cassette exons and are expressed in more than two tissues. Of all exons whose expression was reported to be specific for a certain tissue, the majority were expressed in the brain. At the moment, AEdb products that are available are sequence (a database of alternative exons), function (a database of functions attributed to constitutive and alternative exon), regulatory sequence (a database of transcript regulatory motifs), minigenes (a table of minigenes and their associations to splicing events), and diseases (a table of diseases associated with splicing and their associations to AltSplice). Alternative splicing is an important regulatory mechanism of mammalian gene expression. The alternative splicing database (ASD) consortium is systematically collecting and annotating data on alternative splicing. The continuation and upgrade of the ASD consists of computationally and manually generated data. Its largest parts are AltSplice, a value-added database of computationally delineated alternative splicing events. Its data include alternatively spliced introns/exons, events, isoform splicing patterns and isoform peptide sequences. AltSplice data are generated by examining gene-transcript alignments. The data are annotated for various biological features including splicing signals, expression states, (SNP)-mediated splicing and cross-species conservation. AEdb forms the manually curated component of ASD. It is a literature-based data set containing sequence and properties of alternatively spliced exons, functional enumeration of observed splicing events, characterization of observed splicing regulatory elements, and a collection of experimentally clarified minigene constructs. | element, exon, expression, gene, alignment, alternative, brain, conservation, cross-specie, disease, isoform, mechanism, minigene, pattern, peptide, regulatory, sequence, signal, splice, splicing, structure intron, tissue, transcript, nucleotide sequence, gene structure, intron, splice site, alternative splicing, sequence, alternative exon, function, constitutive exon, alternative exon, regulatory sequence, transcript regulatory motif, minigene, disease | has parent organization: European Bioinformatics Institute | PMID:16381912 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21009 | SCR_008157 | 2026-02-11 10:57:46 | 0 | |||||||
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Comprehensive Systems-Biology Database Resource Report Resource Website 10+ mentions |
Comprehensive Systems-Biology Database (RRID:SCR_008185) | data or information resource, database | CSB.DB presents the results of bio-statistical analysis on gene expression data in association with additional biochemical and physiological knowledge. The main aim of this database platform is to provide tools that support insight into life''s complexity pyramid with a special focus on the integration of data from transcript and metabolite profiling experiments. The main focus of the CSB project is the generation of new easily accessible knowledge about the relationship and the hierarchy of cellular components. Thus new progress towards understanding lifes complexity pyramid is made. For this aim statistical and computational algorithms are applied to organism specific data derived from publicly available multi-parallel technologies, currently such as expression profiles. The underlying data are derived from various research activities. Thus CSB project provides an integrated and centralized public resource allowing universal access on the generated knowledge CSB.DB: A Comprehensive Systems-Biology Database. The derived knowledge should support the formulation of new hypotheses about the respective functional involvement of genes beyond their (inter-) relationships. Another major goal of the CSB project is to supply the researchers with necessary information to formulate these new hypotheses without demanding any a-priori statistical knowledge of the user. The CSB project mainly focuses on application of required statistical tests as well as to assist the user during exploration of results with information / help files to support hypothesis generation | expression, gene, generation, algorithm, arabidopsis thaliana databases, biochemical, biology, bio-statistical, cellular, compound, computational, hierarchy, metabolite, organism, physiological, plant, system, transcript |
is listed by: 3DVC has parent organization: Max Planck Institute of Molecular Plant Physiology; Golm; Germany |
nif-0000-21102 | SCR_008185 | CSB.DB | 2026-02-11 10:57:46 | 11 | |||||||||
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CDKN2A Database Resource Report Resource Website |
CDKN2A Database (RRID:SCR_008179) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. The CDKN2A Database presents the germline and somatic variants of the CDKN2A tumor suppressor gene recorded in human disease through June 2003, annotated with evolutionary, structural, and functional information, in a format that allows the user to either download it or manipulate it for their purposes online. The goal is to provide a database that can be used as a resource by researchers and geneticists and that aids in the interpretation of CDKN2A missense variants. Most online mutation databases present flat files that cannot be manipulated, are often incomplete, and have varying degrees of annotation that may or may not help to interpret the data. They hope to use CDKN2A as a prototype for integrating computational and laboratory data to help interpret variants in other cancer-related genes and other single nucleotide polymorphisms (SNPs) found throughout the genome. Another goal of the lab is to interpret the functional and disease significance of missense variants in cancer susceptibility genes. Eventually, these results will be relevant to the interpretation of single nucleotide polymorphisms (SNPs) in general. The CDKN2A locus is a valuable model for assessing relationships among variation, structure, function, and disease because: Variants of this gene are associated with hereditary cancer: Familial Melanoma (and related syndromes); somatic alterations play a role in carcinogenesis; allelic variants occur whose functional consequences are unknown; reliable functional assays exist; and crystal structure is known. All variants in the database are recorded according to the nomenclature guidelines as outlined by the Human Genome Variation Society. This database is currently designed for research purposes only and is not yet recommended as a clinical resource. Many of the mutations reported here have not been tested for disease association and may represent normal, non-disease causing polymorphisms. | evolutionary, familial, function, functional, gene, gene-, genetic, allele, allelic, alteration, cancer, carcinogenesis, cdkn2a, crystal, disease, genome, germline, hereditary, human, locus, melanoma, missense, model, mutation, nucleotide, or disease- specific databases, polymorphism, single, snp, somatic, structural, structure, suppressor, syndrome, system-, tumor, variant, variation | has parent organization: University of Vermont; Vermont; USA | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21079 | SCR_008179 | CDKN2A Database | 2026-02-11 10:57:46 | 0 | ||||||||
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H-Invitational Database: Protein-Protein Interaction Viewer Resource Report Resource Website |
H-Invitational Database: Protein-Protein Interaction Viewer (RRID:SCR_008054) | data or information resource, database | The PPI view displays H-InvDB human protein-protein interaction (PPI) information. It is constructed by assigning interaction data to H-InvDB proteins which were originally predicted from transcriptional products generated by the H-Invitational project. The PPI view is now providing 32,198 human PPIs comprised of 9,268 H-InvDB proteins. H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, molecular evolutionary features, protein-protein interactions (PPIs) and gene families/groups. Sponsors: This research is financially supported by the Ministry of Economy, Trade and Industry of Japan (METI), the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT) and the Japan Biological Informatics Consortium (JBIC). Also, this work is partly supported by the Research Grant for the RIKEN Genome Exploration Research Project from MEXT to Y.H. and the Grant for the RIKEN Frontier Research System, Functional RNA research program. | evolutionary, expression, function, gene, genetic, 3-dimensional, alternative splicing, disease, domain, human, interaction, isoform, localization, metabolic, microsatellite, molecular, non-coding, pathway, polymorphism, protein, rna, snps, structure, sub-cellular, transcript | has parent organization: National Institute of Advanced Industrial Science and Technology | nif-0000-10401 | SCR_008054 | H0InvDB PPI View | 2026-02-11 10:57:54 | 0 | |||||||||
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Dictyostelium discoideum genome database Resource Report Resource Website 100+ mentions |
Dictyostelium discoideum genome database (RRID:SCR_006643) | dictyBase, dictyBase gene name, dictyBase REF, DictyBase | organism supplier, material resource, biomaterial supply resource | Model organism database for the social amoeba Dictyostelium discoideum that provides the biomedical research community with integrated, high quality data and tools for Dictyostelium discoideum and related species. dictyBase houses the complete genome sequence, ESTs, and the entire body of literature relevant to Dictyostelium. This information is curated to provide accurate gene models and functional annotations, with the goal of fully annotating the genome to provide a ''''reference genome'''' in the Amoebozoa clade. They highlight several new features in the present update: (i) new annotations; (ii) improved interface with web 2.0 functionality; (iii) the initial steps towards a genome portal for the Amoebozoa; (iv) ortholog display; and (v) the complete integration of the Dicty Stock Center with dictyBase. The Dicty Stock Center currently holds over 1500 strains targeting over 930 different genes. There are over 100 different distinct amoebozoan species. In addition, the collection contains nearly 600 plasmids and other materials such as antibodies and cDNA libraries. The strain collection includes: * strain catalog * natural isolates * MNNG chemical mutants * tester strains for parasexual genetics * auxotroph strains * null mutants * GFP-labeled strains for cell biology * plasmid catalog The Dicty Stock Center can accept Dictyostelium strains, plasmids, and other materials relevant for research using Dictyostelium such as antibodies and cDNA or genomic libraries. | genome, sequence, est, literature, gene model, functional annotation, reference genome, gene, antibody, cdna, bacteria, dictyostelium discoideum, dictyostelium purpureum, dictyostelium fasciculatum, polysphondylium pallidium, bio.tools |
is used by: NIF Data Federation is listed by: One Mind Biospecimen Bank Listing is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: AmiGO is related to: Textpresso has parent organization: Northwestern University; Illinois; USA has parent organization: Baylor University; Texas; USA has parent organization: University of Cologne; Cologne; Germany is parent organization of: Dictyostelium Discoideum Anatomy Ontology is parent organization of: Dictyostelium Anatomy Ontology is parent organization of: dictyBase - Teaching Tools Using Dictyostelium discoideum |
NIGMS GM64426; NIGMS GM087371; NHGRI HG0022; European Union |
PMID:23172289 PMID:21087999 PMID:18974179 PMID:14681427 PMID:16381903 |
nif-0000-20974, biotools:dictybase, SCR_008149, nif-0000-02751, OMICS_03158 | https://bio.tools/dictybase | http://genome.imb-jena.de/dictyostelium/ | SCR_006643 | dictyBase gene name, dictyBase REF, Dicty, dictyBase, Dictyostelium discoideum | 2026-02-12 09:44:17 | 306 |
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