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on page 1 showing 20 out of 56 results

Cite this (Aging Genes and Interventions Database, RRID:SCR_002701)

URL: http://uwaging.org/genesdb/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

A database of genes and interventions connected with aging phenotypes including those with respect to their effects on life-span or age-related neurological diseases. Information includes: organism, aging phenotype, allele type, strain, gene function, phenotypes, mutant, and homologs. If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.

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    Ancora

Cite this (Ancora, RRID:SCR_001623)

URL: http://ancora.genereg.net/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements.

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Cite this (AnimalTFDB, RRID:SCR_001624)

URL: http://www.bioguo.org/AnimalTFDB/

Resource Type: Resource, data or information resource, database

A comprehensive transcription factor (TF) database in which they identified and classified all the genome-wide TFs in 50 sequenced animal genomes (Ensembl release version 60). In addition to TFs, it also collects transcription co-factors and chromatin remodeling factors of those genomes, which play regulatory roles in transcription. Here they defined the TFs as proteins containing a sequence-specific DNA-binding domain (DBD) and regulating target gene expression. Currently, the AnimalTFDB classifies all the animal TFs into 72 families according to their conserved DBDs. Gene lists of transcription factors, transcription co-factors and chromatin remodeling factors of each species are available for downloading.

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Cite this (Australian Phenomics Network, RRID:SCR_006150)

URL: http://www.australianphenomics.org.au/

Resource Type: Resource, organism supplier, production service resource, analysis service resource, biomaterial supply resource, material analysis service, material service resource, service resource, biomaterial analysis service, material resource, biomaterial manufacture

Mouse models for the study of human and animal disease for Australian and international researchers. It has reduced the cost to researchers of accessing mouse models of disease, and provides equipment and expertise to undertake characterization and further research of these models. The APN brought together mouse production, strain storage and pathology capabilities, later extending the core services of the network, and include new services (RNAi and genomics services). Twelve Australian facilities and institutions currently constitute the APN. The APN partners contribute their expertise and infrastructure for the production of mouse models, as well as providing cryopreservation and pathology services. * Walter and Eliza Hall Institute of Medical Research * Monash University * Queensland Institute of Medical Research * Animal Resources Centre * Institute of Medical and Veterinary Science * University of Melbourne * Institute of Molecular Bioscience * Menzies Research Institute * Peter MacCallum Cancer Centre * Australian National University * Western Australian Institute of Medical Research * Centenary Institute In addition, the APN is working with the Atlas of Living Australia to develop a framework for Australia''''s e-science infrastructure to improve the capture, annotation and dissemination of research data. The APN''''s core expertise and infrastructure is also extended by key national and international partnerships. These include the Garvan Institute, the National Institutes of Health (United States), the Wellcome Trust (United Kingdom), and the University of Manitoba (Canada). Services * ES Cell to Mouse: Create a mouse model from embryonic stem cells * RNAi: Screen full genomes to identify novel gene targets * ENU Mutagenesis - Produce chemically-induced mouse models * Pathology - Investigate mouse models using clinical and histopathology * Genomics - Further mouse mutant identification via new discovery pipeline * NHMRC Australian PhenomeBank - a non-profit repository of mouse strains used in Medical Research.

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Cite this (Bgee: a dataBase for Gene Expression Evolution, RRID:SCR_002028)

URL: http://bgee.org/

Resource Type: Resource, data or information resource, database

Database to retrieve and compare gene expression patterns between animal species. Bgee first maps heterogeneous expression data (currently RNA-Seq, Affymetrix, in situ hybridization, and EST data) to anatomy and development of different species.

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Cite this (CMHD - Centre for Modeling Human Disease, RRID:SCR_006101)

URL: http://www.cmhd.ca/

Resource Type: Resource, database, analysis service resource, production service resource, material service resource, service resource, biomaterial manufacture, data or information resource

Multidisciplinary collaboration undertaking genome-wide mutagenesis to functionally annotate the mouse genome and develop new mouse models relevant to human disease. To achieve these goals two major research platforms are carried out: Gene trapping and ENU Mutagenesis. A new challenge is faced in the post-genomic era - the assignment of biological function to the human genome sequence and projecting that assignment into understanding of human health and disease. The Centre for Modeling Human Disease (CMHD) was established to take part in the worldwide initiative to address these challenges. At the CMHD, two fundamentally different, yet complimentary methods are employed to generate mutant mouse models of human disease: chemical mutagenesis by ethylnitrosourea (ENU), and gene trap insertional mutagenesis. The Centre contributes its resources to similar international efforts and is the first of its kind in Canada. The Center is also actively developing other mutagenic strategies including pharmacologic and genetic modifier screens to dissect disease pathways, and novel mutagenic techniques using embryonic stem cells. ENU Database * Statistics for Mouse Physiological Parameters * Search Mutants by Phenotype * Search Mutants by Heritability Gene Trap Database * Search by in vitro Expression Pattern * Search by Gene Trap Sequences CMHD Members Only (must register and login) * Search Mouse Line * Histopathology * Sperm, Tissue, Slide Archiving * CMHD Database Download CMHD Services * Phenotyping * Genetic Mapping * Pathology * Pathology Service Charges

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Cite this (Database of Interacting Proteins, RRID:SCR_003167)

URL: http://dip.doe-mbi.ucla.edu/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, storage service resource, data repository, data or information resource

Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.

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Cite this (dbGaP at NCBI, RRID:SCR_002709)

URL: http://www.ncbi.nlm.nih.gov/gap

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database to archive and distribute the results of studies that have investigated the interaction of genotype and phenotype, including genome-wide association studies, medical sequencing, molecular diagnostic assays, and association between genotype and non-clinical traits. dbGaP provides two types of access for users, open and controlled. Summaries of studies and the contents of measured variables as well as original study document text are generally available to the public, while access to individual-level data including phenotypic data tables and genotypes require varying levels of authorization. The data in dbGaP will be pre-competitive, and will not be protected by intellectual property patents. Investigators who agree to the terms of dbGaP data use may not restrict other investigators' use of primary dbGaP data by filing intellectual property patents on it. However, the use of primary data from dbGaP to develop commercial products and tests to meet public health needs is encouraged. Submitters who are not Federally-funded and affiliated with an NIH IC will need to work with an NIH DAC so that proposed submission can be reviewed for consistency with appropriate policies to protect the privacy of research participants and confidentiality of their data. Submissions to dbGaP will not be accepted without assurance that the submitting institution approves the submission and has verified that the data submission is consistent with all applicable laws and regulations, as well as institutional policies. Submitters must also identify any limits on research uses of the data that are specifically set by individual research participants, e.g., through their informed consent. Open-access data can be browsed online or downloaded from dbGaP without prior permission or authorization.

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    dbSNP

Cite this (dbSNP, RRID:SCR_002338)

URL: http://www.ncbi.nlm.nih.gov/SNP/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database serving as a central repository for both single base nucleotide substitutions and short deletion and insertion polymorphisms. Once discovered, these polymorphisms could be used by additional laboratories, using the sequence information around the polymorphism and the specific experimental conditions. (Note that dbSNP takes the looser "variation" definition for SNPs, so there is no requirement or assumption about minimum allele frequency.) The database accepts data submissions. dbSNP distinguishes a report of how to assay a SNP from the use of that SNP with individuals and populations. This separation simplifies some issues of data representation. However, these initial reports describing how to assay a SNP will often be accompanied by SNP experiments measuring allele occurrence in individuals and populations.

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Cite this (Digital Ageing Atlas, RRID:SCR_009020)

URL: http://ageing-map.org/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database of age-related changes covering different biological levels, including molecular, physiological, psychological and pathological age-related data, to create an interactive portal that serves as a centralized collection of human aging changes and pathologies. To facilitate integrative, system-level studies of aging, the DAA provides a centralized source for aging-related data as well as basic tools to query and visualize the data, including anatomical models. Data in the DAA is manually curated from the literature and retrieved from public databases. For more detailed analyses users are able to download the entire database. More information on how to use the DAA is available on the help page. The DAA primarily focuses on human aging, but also includes supplementary mouse data, in particular gene expression data, to enhance and expand the information on human aging. If you would like to contribute to the database yourself, for instance if you have new data on aging, please use the contribute page to submit your data.

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Cite this (DOMINE: Database of Protein Interactions, RRID:SCR_002399)

URL: http://domine.utdallas.edu

Resource Type: Resource, data or information resource, database

Database of known and predicted protein domain (domain-domain) interactions containing interactions inferred from PDB entries, and those that are predicted by 8 different computational approaches using Pfam domain definitions. DOMINE contains a total of 26,219 domain-domain interactions (among 5,410 domains) out of which 6,634 are inferred from PDB entries, and 21,620 are predicted by at least one computational approach. Of the 21,620 computational predictions, 2,989 interactions are high-confidence predictions (HCPs), 2,537 interactions are medium-confidence predictions (MCPs), and the remaining 16,094 are low-confidence predictions (LCPs). (May 2014)

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Cite this (European Mouse Mutant Archive, RRID:SCR_006136)

URL: http://www.emmanet.org/

Resource Type: Resource, organism supplier, biomaterial supply resource, biospecimen repository, service resource, storage service resource, cell repository, material resource, material storage repository

Non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant strains essential for basic biomedical research. Users may browse by strain, gene, phenotype, or human disease. Its primary objective is to establish and manage a unified repository for maintaining medically relevant mouse mutants and making them available to the scientific community. Therefore, EMMA archives mutant strains and distributes them to requesting researchers. EMMA also hosts courses in cryopreservation, to promote the use and dissemination of frozen embryos and spermatozoa. Dissemination of knowledge is further fostered by a dedicated resource database. Anybody who wants their mutant mouse strains cryopreserved may deposit strains with EMMA. However depositors must be aware that these strains become freely available to other researchers after being deposited.

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Cite this (Europhenome Mouse Phenotyping Resource, RRID:SCR_006935)

URL: http://www.europhenome.org

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Open source software system for capturing, storing and analyzing raw phenotyping data from SOPs contained in EMPReSS, it provides access to raw and annotated mouse phenotyping data generated from primary pipelines such as EMPReSSlim and secondary procedures from specialist centers. Mutants of interest can be identified by searching the gene or the predicted phenotype. You can also access phenotype data from the EMPReSSlim Pipeline for inbred mouse strains. Initially EuroPhenome was developed within the EUMORPHIA programme to capture and store pilot phenotyping data obtained on four background strains (C57BL/6J, C3H/HeBFeJ, BALB/cByJ and 129/SvPas). EUMORPHIA (European Union Mouse Research for Public Health and Industrial Applications) was a large project comprising of 18 research centers in 8 European countries, with the main focus of the project being the development of novel approaches in phenotyping, mutagenesis and informatics to improve the characterization of mouse models for understanding human molecular physiology and pathology. The current version of EuroPhenome is capturing data from the EUMODIC project as well as the WTSI MGP, HMGU GMC pipeline and the CMHD. EUMODIC is undertaking a primary phenotype assessment of up to 500 mouse mutant lines derived from ES cells developed in the EUCOMM project as well as other lines. Lines showing an interesting phenotype will be subject to a more in depth assessment. EUMODIC is building upon the comprehensive database of standardized phenotyping protocols, called EMPReSS, developed by the EUMORPHIA project. EUMODIC has developed a selection of these screens, called EMPReSSslim, to enable comprehensive, high throughput, primary phenotyping of large numbers of mice. Phenovariants are annotated using a automated pipeline, which assigns a MP term if the mutant data is statistically different to the baseline data. This data is shown in the Phenomap and the mine for a mutant tool. Please note that a statistically significant result and the subsequent MP annotation does not necessarily mean a true phenovariant. There are other factors that could cause this result that have not been accounted for in the analysis. It is the responsibility of the user to download the data and use their expert knowledge or further analysis to decide whether they agree or not. EuroPhenome is primarily based in the bioinformatics group at MRC Harwell. The development of EuroPhenome is in collaboration with the Helmholtz Zentrum Munchen, Germany, the Wellcome Trust Sanger Institute, UK and the Institut Clinique de la Souris, France.

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Cite this (Expression Patterns for C. elegans promoter GFP fusions, RRID:SCR_001619)

URL: http://gfpweb.aecom.yu.edu/

Resource Type: Resource, data set, data or information resource, database

Database of expression patterns of C. elegans promoter - GFP constructs. A text description of the observed pattern is provided, indicating the stage(s) and tissue(s) in which GFP is expressed. Also available for some strains are the corresponding 2D and 3D images. Investigators may browse the entire list, search by gene name, tissue, stage, and pattern. Search results may be downloaded in .csv and .txt formats. Monitoring in vivo expression of the fusion constucts in transgenic worms allows the determination of the developmental stage, tissue, and in some cases, the cells where a particular gene is expressed. Their goal was to build promoter GFP fusion constructs for C. elegans genes that have human orthologues. Of the over 5000 genes that fall into this category, promoter fusion constructs were created for 2000 of these, with a focus on genes expressed in muscle and nerve tissues. When coupled with SAGE and knockout data, this provides valuable and more complete expression profiles for cells, tissues, and developmental stages. A number of strains in which GFP expression was not detected, or expression was lost before the strain could be fully analyzed has been compiled from the project. There are a number of possible causes. A listing Genes without GFP expression is provided and merely useful as a comparison baseline for other projects when they use these promoter regions. No conclusions can be drawn from this data. They are in the process of sending stable strains to the CGC, however there are a limited number of strains available at the moment. The strains that are not available through the CGC may be requested through Rebecca Newbury. The images posted on the website are also available by request.

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    Gemma

Cite this (Gemma, RRID:SCR_008007)

URL: http://www.chibi.ubc.ca/Gemma

Resource Type: Resource, data or information resource, database

Database and a set of tools for the meta-analysis, re-use and sharing of genomics data, currently primarily targeted at the analysis of gene expression profiles. Users can search, access and visualize coexpression and differential expression results.

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Cite this (Gene Expression Database, RRID:SCR_006539)

URL: http://www.informatics.jax.org/expression.shtml

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Community database that collects and integrates the gene expression information in MGI with a primary emphasis on endogenous gene expression during mouse development. The data in GXD are obtained from the literature, from individual laboratories, and from large-scale data providers. All data are annotated and reviewed by GXD curators. GXD stores and integrates different types of expression data (RNA in situ hybridization; Immunohistochemistry; in situ reporter (knock in); RT-PCR; Northern and Western blots; and RNase and Nuclease s1 protection assays) and makes these data freely available in formats appropriate for comprehensive analysis. There is particular emphasis on endogenous gene expression during mouse development. GXD also maintains an index of the literature examining gene expression in the embryonic mouse. It is comprehensive and up-to-date, containing all pertinent journal articles from 1993 to the present and articles from major developmental journals from 1990 to the present. GXD stores primary data from different types of expression assays and by integrating these data, as data accumulate, GXD provides increasingly complete information about the expression profiles of transcripts and proteins in different mouse strains and mutants. GXD describes expression patterns using an extensive, hierarchically-structured dictionary of anatomical terms. In this way, expression results from assays with differing spatial resolution are recorded in a standardized and integrated manner and expression patterns can be queried at different levels of detail. The records are complemented with digitized images of the original expression data. The Anatomical Dictionary for Mouse Development has been developed by our Edinburgh colleagues, as part of the joint Mouse Gene Expression Information Resource project. GXD places the gene expression data in the larger biological context by establishing and maintaining interconnections with many other resources. Integration with MGD enables a combined analysis of genotype, sequence, expression, and phenotype data. Links to PubMed, Online Mendelian Inheritance in Man (OMIM), sequence databases, and databases from other species further enhance the utility of GXD. GXD accepts both published and unpublished data.

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Cite this (GeneNetwork, RRID:SCR_002388)

URL: http://www.genenetwork.org/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

A group of linked data sets and tools used to study complex networks of genes, molecules, and higher order gene function and phenotypes. It combines more than 25 years of legacy data generated by hundreds of scientists together with sequence data (SNPs) and massive transcriptome data sets (expression genetic or eQTL data sets). The quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. GeneNetwork can be used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Most of these population data sets are linked with dense genetic maps (genotypes) that can be used to locate the genetic modifiers that cause differences in expression and phenotypes, including disease susceptibility. Users are welcome to enter their own private data directly into GeneNetwork to exploit the full range of analytic tools and to map modulators in a powerful environment. This combination of data and fast analytic functions enable users to study relations between sequence variants, molecular networks, and function. What can be done with GeneNetwork? * QTL Mapping: ** Interval Mapping ** Simple interval mapping ** Composite interval mapping ** Pair-scan * Correlation Analysis ** Correlation Matrix / Principal Components Analysis ** QTL Heatmaps ** Compare Correlates ** Network Graph * Systems Genetics and Complex Trait Analysis Source code is available and is written in Python, C, and JavaScript. The QTL Reaper module of GeneNetwork that is used by several mapping modules of GeneNetwork is also available.

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Cite this (HGVS Locus Specific Mutation Databases, RRID:SCR_006730)

URL: http://www.hgvs.org/dblist/glsdb.htm

Resource Type: Resource, data or information resource, database

Database of Locus Specific Mutation Databases. Fields include HGNC Gene symbol / OMIM No., Database name / Internet address, and Curators. If you wish to add an LSDB please go to the LSDB Submission Page.

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    HPA

Cite this (HPA, RRID:SCR_006710)

URL: http://www.proteinatlas.org/

Resource Type: Resource, database, biospecimen repository, service resource, storage service resource, atlas, material storage repository, data or information resource

Public database with millions of high-resolution images showing the spatial distribution of proteins in different normal human tissues and cancer types, as well as different human cell lines. The data is released together with application-specific validation performed for each antibody, including immunohistochemisty, Western blot analysis and, for a large fraction, a protein array assay and immunofluorescent based confocal microscopy. The database has been developed in a gene-centric manner with the inclusion of all human genes predicted from genome efforts. Search functionalities allow for complex queries regarding protein expression profiles, protein classes and chromosome location. Antibodies included have been analyzed using a standardized protocol in a single attempt without further efforts to optimize the procedure and therefore it cannot be excluded that certain observed binding properties are due to technical rather than biological reasons and that further optimization could result in a different outcome. Submission of antibodies: The Swedish Human Proteome Atlas (HPA) program, invites submission of antibodies from both academic and commercial sources to be included in the human protein atlas. All antibodies will be validated by the HPA-program by a standard procedure and antibodies that are accepted will be use in the tissue- profiling program to generate high-resolution immunohistochemistry images representing a wide spectrum of normal tissues and cancer types.

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Cite this (HPID - Human Protein Interaction database, RRID:SCR_007724)

URL: http://www.hpid.org

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Database that provides human protein interaction information and integrated interaction and also finds proteins from databases that can potentially react with proteins submitted by users. The human protein interaction information was pre-computed by a statistical method from existing structural and experimental data, while the integrated human protein interactions are derived from BIND, DIP and HPRD. A score composed of three parts is assigned to the predicted interaction data, and those interactions with high scores were found reliable. HPID allows the user to use the protein IDs in EMBL, Ensembl, MIM, RefSeq, HPRD and NCBI to search protein interactions of interest. A set of web-based software tools has also been developed so that users can visualize and analyze protein interaction networks.

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