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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.
Country
Chinese Astronomical Data Center (CAsDC) is the scientific data service and infrastructure of National Astronomical Observatories, Chinese Academy of Sciences (NAOC), which is a key service from the China-VO. We are aiming to meet user requirements for astronomical research and education. The CAsDC is based on World Data Center (WDC) for Astronomy, which is hosted at NAOC and has been providing data services to users since its initiation in 1980s. In 2012, the CAsDC became a regular member of the new created World Data System.
Country
<<<!!!<<< 2019-12-23: the repository is offline >>>!!!>>> Introduction of genome-scale metabolic network: The completion of genome sequencing and subsequent functional annotation for a great number of species enables the reconstruction of genome-scale metabolic networks. These networks, together with in silico network analysis methods such as the constraint based methods (CBM) and graph theory methods, can provide us systems level understanding of cellular metabolism. Further more, they can be applied to many predictions of real biological application such as: gene essentiality analysis, drug target discovery and metabolic engineering
Country
As the third center for oceanography of the World Data Center following WDC-A of the United States and WDC-B of Russia, WDC-D for oceanography boasts long-term and stable sources of domestic marine basic data. The State Oceanic Administration now has long-term observations obtained from the fixed coastal ocean stations, offshore and oceanic research vessels, moored and drifting buoys. More and more marine data have been available from the Chinese-foreign marine cooperative surveys, analysis and measurement of laboratory samples, reception by the satellite ground station, aerial telemeter and remote sensing, the GOOS program and global ships of opportunity reports, etc; More marine data are being and will be obtained from the ongoing “863” program, one of the state key projects during the Ninth Five-year plan and the seasat No 1 which is scheduled to be launched next year. Through many years’ effort, the WDC-D for oceanography has established formal relationship of marine data exchange with over 130 marine institutions in more than 60 countries in the world and is maintaining a close relationship of data exchange with over 30 major national oceanographic data centers. The established China Oceanic Information Network has joined the international marine data exchange system via Internet. Through these channels, a large amount data have been acquired of through international exchange, which, plus the marine data collected at home for many years, has brought the WDC-D for Oceanography over 100 years’ global marine data with a total data amounting to more than 10 billion bytes. In the meantime, a vast amount of work has been done in the standardized and normalized processing and management of the data, and a series of national and professional standards have been formulated and implemented successively. Moreover, appropriate standards and norms are being formulated as required.