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Found 42 result(s)
Ag Data Commons provides access to a wide variety of open data relevant to agricultural research. We are a centralized repository for data already on the web, as well as for new data being published for the first time. While compliance with the U.S. Federal public access and open data directives is important, we aim to surpass them. Our goal is to foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
This Animal Quantitative Trait Loci (QTL) database (Animal QTLdb) is designed to house all publicly available QTL and trait mapping data (i.e. trait and genome location association data; collectively called "QTL data" on this site) on livestock animal species for easily locating and making comparisons within and between species. New database tools are continuely added to align the QTL and association data to other types of genome information, such as annotated genes, RH / SNP markers, and human genome maps. Besides the QTL data from species listed below, the QTLdb is open to house QTL/association date from other animal species where feasible. Note that the JAS along with other journals, now require that new QTL/association data be entered into a QTL database as part of their publication requirements.
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ArachnoServer is a manually curated database containing information on the sequence, three-dimensional structure, and biological activity of protein toxins derived from spider venom. Spiders are the largest group of venomous animals and they are predicted to contain by far the largest number of pharmacologically active peptide toxins (Escoubas et al., 2006). ArachnoServer has been custom-built so that a wide range of biological scientists, including neuroscientists, pharmacologists, and toxinologists, can readily access key data relevant to their discipline without being overwhelmed by extraneous information.
<<<!!!<<< The ArkDB is now CLOSED With apologies to anyone who still relies on the ArkDB data system or map-drawing tools, we've had to take the difficult decision to shut down the ArkDB system. We've not been funded to maintain it for many years now and have kept it in the air as best we could with the time that we had available but recent changes in personnel and continuing updates to the underpinning libraries mean that the effort required to keep it going outweighs the perceived benefits. If you feel that this is the wrong decision, please contact us to let us know and we'll see what we can do together You can always contact us on our Roslin Bioinformatics email address (roslin.bioinformatics@roslin.ed.ac.uk) The Roslin Bioinformatics Team 21st November 2018 >>>!!!>>>
ArrayExpress is one of the major international repositories for high-throughput functional genomics data from both microarray and high-throughput sequencing studies, many of which are supported by peer-reviewed publications. Data sets are submitted directly to ArrayExpress and curated by a team of specialist biological curators. In the past (until 2018) datasets from the NCBI Gene Expression Omnibus database were imported on a weekly basis. Data is collected to MIAME and MINSEQE standards.
>>>!!!<<< Sorry.we are no longer in operation >>>!!!<<< The Beta Cell Biology Consortium (BCBC) was a team science initiative that was established by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). It was initially funded in 2001 (RFA DK-01-014), and competitively continued both in 2005 (RFAs DK-01-17, DK-01-18) and in 2009 (RFA DK-09-011). Funding for the BCBC came to an end on August 1, 2015, and with it so did our ability to maintain active websites.!!! One of the many goals of the BCBC was to develop and maintain databases of useful research resources. A total of 813 different scientific resources were generated and submitted by BCBC investigators over the 14 years it existed. Information pertaining to 495 selected resources, judged to be the most scientifically-useful, has been converted into a static catalog, as shown below. In addition, the metadata for these 495 resources have been transferred to dkNET in the form of RDF descriptors, and all genomics data have been deposited to either ArrayExpress or GEO. Please direct questions or comments to the NIDDK Division of Diabetes, Endocrinology & Metabolic Diseases (DEM).
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>>>!!! <<< 2021-09-01: repository is offline >>>!!!<<< Background: Many studies have been conducted to detect quantitative trait loci (QTL) in dairy cattle. However, these studies are diverse in terms of their differing resource populations, marker maps, phenotypes, etc, and one of the challenges is to be able to synthesise this diverse information. This web page has been constructed to provide an accessible database of studies, providing a summary of each study, facilitating an easier comparison across studies. However, it also highlights the need for uniform reporting of results of studies, to facilitate more direct comparisons being made. Description: Studies recorded in this database include complete and partial genome scans, single chromosome scans, as well as fine mapping studies, and contain all known reports that were published in peer-reviewed journals and readily available conference proceedings, initially up to April 2005. However, this data base is being added to, as indicated by the last web update. Note that some duplication of results will occur, in that there may be a number of reports on the same resource population, but utilising different marker densities or different statistical methodologies. The traits recorded in this map are milk yield, milk composition (protein yield, protein %, fat yield, fat %), and somatic cell score (SCS).
The Ensembl project produces genome databases for vertebrates and other eukaryotic species. Ensembl is a joint project between the European Bioinformatics Institute (EBI) and the Wellcome Trust Sanger Institute (WTSI) to develop a software system that produces and maintains automatic annotation on selected genomes.The Ensembl project was started in 1999, some years before the draft human genome was completed. Even at that early stage it was clear that manual annotation of 3 billion base pairs of sequence would not be able to offer researchers timely access to the latest data. The goal of Ensembl was therefore to automatically annotate the genome, integrate this annotation with other available biological data and make all this publicly available via the web. Since the website's launch in July 2000, many more genomes have been added to Ensembl and the range of available data has also expanded to include comparative genomics, variation and regulatory data. Ensembl is a joint project between European Bioinformatics Institute (EBI), an outstation of the European Molecular Biology Laboratory (EMBL), and the Wellcome Trust Sanger Institute (WTSI). Both institutes are located on the Wellcome Trust Genome Campus in Hinxton, south of the city of Cambridge, United Kingdom.
The EZRC at KIT houses the largest experimental fish facility in Europe with a capacity of more than 300,000 fish. Zebrafish stocks are maintained mostly as frozen sperm. Frequently requested lines are also kept alive as well as a selection of wildtype strains. Several thousand mutations in protein coding genes generated by TILLING in the Stemple lab of the Sanger Centre, Hinxton, UK and lines generated by ENU mutagenesis by the Nüsslein-Volhard lab in addition to transgenic lines and mutants generated by KIT groups or brought in through collaborations. We also accept submissions on an individual basis and ship fish upon request to PIs in Europe and elsewhere. EZRC also provides screening services and technologies such as imaging and high-throughput sequencing. Key areas include automation of embryo handling and automated image acquisition and processing. Our platform also involves the development of novel microscopy techniques (e.g. SPIM, DSLM, robotic macroscope) to permit high-resolution, real-time imaging in 4D. By association with the ComPlat platform, we can support also chemical screens and offer libraries with up to 20,000 compounds in total for external users. As another service to the community the EZRC provides plasmids (cDNAs, transgenes, Talen, Crispr/cas9) maintained by the Helmholtz repository of Bioparts (HERBI) to the scientific community. In addition the fish facility keeps a range of medaka stocks, maintained by the Loosli group.
dbEST is a division of GenBank that contains sequence data and other information on "single-pass" cDNA sequences, or "Expressed Sequence Tags", from a number of organisms. Expressed Sequence Tags (ESTs) are short (usually about 300-500 bp), single-pass sequence reads from mRNA (cDNA). Typically they are produced in large batches. They represent a snapshot of genes expressed in a given tissue and/or at a given developmental stage. They are tags (some coding, others not) of expression for a given cDNA library. Most EST projects develop large numbers of sequences. These are commonly submitted to GenBank and dbEST as batches of dozens to thousands of entries, with a great deal of redundancy in the citation, submitter and library information. To improve the efficiency of the submission process for this type of data, we have designed a special streamlined submission process and data format. dbEST also includes sequences that are longer than the traditional ESTs, or are produced as single sequences or in small batches. Among these sequences are products of differential display experiments and RACE experiments. The thing that these sequences have in common with traditional ESTs, regardless of length, quality, or quantity, is that there is little information that can be annotated in the record. If a sequence is later characterized and annotated with biological features such as a coding region, 5'UTR, or 3'UTR, it should be submitted through the regular GenBank submissions procedure (via BankIt or Sequin), even if part of the sequence is already in dbEST. dbEST is reserved for single-pass reads. Assembled sequences should not be submitted to dbEST. GenBank will accept assembled EST submissions for the forthcoming TSA (Transcriptome Shotgun Assembly) division. The individual reads which make up the assembly should be submitted to dbEST, the Trace archive or the Short Read Archive (SRA) prior to the submission of the assemblies.
The Expression Atlas provides information on gene expression patterns under different biological conditions such as a gene knock out, a plant treated with a compound, or in a particular organism part or cell. It includes both microarray and RNA-seq data. The data is re-analysed in-house to detect interesting expression patterns under the conditions of the original experiment. There are two components to the Expression Atlas, the Baseline Atlas and the Differential Atlas. The Baseline Atlas displays information about which gene products are present (and at what abundance) in "normal" conditions (e.g. tissue, cell type). It aims to answer questions such as "which genes are specifically expressed in human kidney?". This component of the Expression Atlas consists of highly-curated and quality-checked RNA-seq experiments from ArrayExpress. It has data for many different animal and plant species. New experiments are added as they become available. The Differential Atlas allows users to identify genes that are up- or down-regulated in a wide variety of different experimental conditions such as yeast mutants, cadmium treated plants, cystic fibrosis or the effect on gene expression of mind-body practice. Both microarray and RNA-seq experiments are included in the Differential Atlas. Experiments are selected from ArrayExpress and groups of samples are manually identified for comparison e.g. those with wild type genotype compared to those with a gene knock out. Each experiment is processed through our in-house differential expression statistical analysis pipeline to identify genes with a high probability of differential expression.
FaceBase is a collaborative NIDCR-funded project that houses comprehensive data in support of advancing research into craniofacial development and malformation. It serves as a community resource by curating large datasets of a variety of types from the craniofacial research community and sharing them via this website. Practices emphasize a comprehensive and multidisciplinary approach to understanding the developmental processes that create the face. The data offered spotlights high-throughput genetic, molecular, biological, imaging and computational techniques. One of the missions of this project is to facilitate cooperation and collaboration between the central coordinating center (ie, the Hub) and the craniofacial research community.
Fishbase is a global species database and encyclopedia of over 30,000 species and subspecies of fishes that is searchable by common name, genus, species, geography, family, ecosystem, references literature, tools, etc. Links to other, related databases such as the Catalog of Fishes, GenBack, and LarvalBase. Associated with a partner journal, Acta Ichthyologica et Piscatoria. With mirror sites in English, German, French Spanish, Portuguese, French, Swedish, Chinese and Arabian language.
GermOnline 4.0 is a cross-species database gateway focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. The portal provides access to the Saccharomyces Genomics Viewer (SGV) which facilitates online interpretation of complex data from experiments with high-density oligonucleotide tiling microarrays that cover the entire yeast genome.
GigaDB primarily serves as a repository to host data and tools associated with articles published by GigaScience Press; GigaScience and GigaByte (both are online, open-access journals). GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support a unit-of-work (article or study). GigaDB allows the integration of manuscript publication with supporting data and tools.
The DNA Bank Network was established in spring 2007 and was funded until 2011 by the German Research Foundation (DFG). The network was initiated by GBIF Germany (Global Biodiversity Information Facility). It offers a worldwide unique concept. DNA bank databases of all partners are linked and are accessible via a central web portal, providing DNA samples of complementary collections (microorganisms, protists, plants, algae, fungi and animals). The DNA Bank Network was one of the founders of the Global Genome Biodiversity Network (GGBN) and is fully merged with GGBN today. GGBN agreed on using the data model proposed by the DNA Bank Network. The Botanic Garden and Botanical Museum Berlin-Dahlem (BGBM) hosts the technical secretariat of GGBN and its virtual infrastructure. The main focus of the DNA Bank Network is to enhance taxonomic, systematic, genetic, conservation and evolutionary studies by providing: • high quality, long-term storage of DNA material on which molecular studies have been performed, so that results can be verified, extended, and complemented, • complete on-line documentation of each sample, including the provenance of the original material, the place of voucher deposit, information about DNA quality and extraction methodology, digital images of vouchers and links to published molecular data if available.
The Human Ageing Genomic Resources (HAGR) is a collection of databases and tools designed to help researchers study the genetics of human ageing using modern approaches such as functional genomics, network analyses, systems biology and evolutionary analyses.
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The iBeetle-Base stores gene related information for all genes of the official gene set (red box). Among others, RNA and protein sequences can be downloaded and links lead to the respective annotation in the genome browser. Further, the Drosophila orthologs are displayed including links to FlyBase. Wherever available, the phenotypic data gathered in the iBeetle screen is displayed below the gene information in separate sections for the pupal and larval screening parts (yellow box).
The IMSR is a searchable online database of mouse strains, stocks, and mutant ES cell lines available worldwide, including inbred, mutant, and genetically engineered strains. The goal of the IMSR is to assist the international scientific community in locating and obtaining mouse resources for research. Note that the data content found in the IMSR is as supplied by strain repository holders. For each strain or cell line listed in the IMSR, users can obtain information about: Where that resource is available (Repository Site); What state(s) the resource is available as (e.g. live, cryopreserved embryo or germplasm, ES cells); Links to descriptive information about a strain or ES cell line; Links to mutant alleles carried by a strain or ES cell line; Links for ordering a strain or ES cell line from a Repository; Links for contacting the Repository to send a query
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During cell cycle, numerous proteins temporally and spatially localized in distinct sub-cellular regions including centrosome (spindle pole in budding yeast), kinetochore/centromere, cleavage furrow/midbody (related or homolog structures in plants and budding yeast called as phragmoplast and bud neck, respectively), telomere and spindle spatially and temporally. These sub-cellular regions play important roles in various biological processes. In this work, we have collected all proteins identified to be localized on kinetochore, centrosome, midbody, telomere and spindle from two fungi (S. cerevisiae and S. pombe) and five animals, including C. elegans, D. melanogaster, X. laevis, M. musculus and H. sapiens based on the rationale of "Seeing is believing" (Bloom K et al., 2005). Through ortholog searches, the proteins potentially localized at these sub-cellular regions were detected in 144 eukaryotes. Then the integrated and searchable database MiCroKiTS - Midbody, Centrosome, Kinetochore, Telomere and Spindle has been established.