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Found 8 result(s)

doRiNA

database of RNA interactions in post-transcriptional regulation

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doRiNA is a database of transcriptome-wide binding site data for RNA binding proteins and microRNAs

CASRdb

Calcium Sensing Receptor Database

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<<<!!!<<< This repository is no longer available. >>>!!!>>> Message since 2018-06: This virtual host is being reconstructed.

Canadian Open Genetics Repository

COGR

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The Canadian Open Genetics Repository is a collaborative effort for the collection, storage, sharing and robust analysis of variants reported by medical diagnostics laboratories across Canada. As clinical laboratories adopt modern genomics technologies, the need for this type of collaborative framework is increasingly important. If you want to join COGR project and get data please send an email at cogr@opengenetics.ca and the introduction to the project will be arranged.

Genomic Observatories MetaDatabase

GEOME

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The Genomic Observatories Meta-Database (GEOME) is a web-based database that captures the who, what, where, and when of biological samples and associated genetic sequences. GEOME helps users with the following goals: ensure the metadata from your biological samples is findable, accessible, interoperable, and reusable; improve the quality of your data and comply with global data standards; and integrate with R, ease publication to NCBI's sequence read archive, and work with an associated LIMS. The initial use case for GEOME came from the Diversity of the Indo-Pacific Network (DIPnet) resource.

UCSD Signaling gateway

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<<<!!!<<< This repository is no longer available. >>>!!!>>>

Birdbase

A database of avian genes & genomes

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<<<!!!<<< This repository is no longer available. >>>!!!>>> The sequencing of several bird genomes and the anticipated sequencing of many more provided the impetus to develop a model organism database devoted to the taxonomic class: Aves. Birds provide model organisms important to the study of neurobiology, immunology, genetics, development, oncology, virology, cardiovascular biology, evolution and a variety of other life sciences. Many bird species are also important to agriculture, providing an enormous worldwide food source worldwide. Genomic approaches are proving invaluable to studying traits that affect meat yield, disease resistance, behavior, and bone development along with many other factors affecting productivity. In this context, BirdBase will serve both biomedical and agricultural researchers.

National Parasite Resource Center

国家寄生虫资源库

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From 2005 to 2008, with the support of the Ministry of Science and Technology (MOST), the construction of parasite germplasm repositories has spread to 20 conservation institutions in 15 provinces (cities) nationwide, with 3 physical exhibition halls; 3 live parasite conservation centers. A total of 1115 species/117814 pieces of parasitic germplasm resources of 23 orders in 11 phyla have been integrated into the physical library and database, including human parasites and vectors, animal parasites, plant nematodes, medical insects, trematodes, and parasitic snails, and the resources are combined with moderate distribution, medium- and long-term support, and off-site duplicates. The number of resources accounts for 39.27% of the national total. Through 10 years of accumulation, we have built the largest and only parasite species resource database in the field of parasites in China, and created a sharing platform of parasite germplasm resource center.

UCSD Metabolomics Workbench

Metabolomics Workbench

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With the creation of the Metabolomics Data Repository managed by Data Repository and Coordination Center (DRCC), the NIH acknowledges the importance of data sharing for metabolomics. Metabolomics represents the systematic study of low molecular weight molecules found in a biological sample, providing a "snapshot" of the current and actual state of the cell or organism at a specific point in time. Thus, the metabolome represents the functional activity of biological systems. As with other ‘omics’, metabolites are conserved across animals, plants and microbial species, facilitating the extrapolation of research findings in laboratory animals to humans. Common technologies for measuring the metabolome include mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR), which can measure hundreds to thousands of unique chemical entities. Data sharing in metabolomics will include primary raw data and the biological and analytical meta-data necessary to interpret these data. Through cooperation between investigators, metabolomics laboratories and data coordinating centers, these data sets should provide a rich resource for the research community to enhance preclinical, clinical and translational research.