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Found 6 result(s)
<<<!!!<<< OFFLINE >>>!!!>>> A recent computer security audit has revealed security flaws in the legacy HapMap site that require NCBI to take it down immediately. We regret the inconvenience, but we are required to do this. That said, NCBI was planning to decommission this site in the near future anyway (although not quite so suddenly), as the 1,000 genomes (1KG) project has established itself as a research standard for population genetics and genomics. NCBI has observed a decline in usage of the HapMap dataset and website with its available resources over the past five years and it has come to the end of its useful life. The International HapMap Project is a multi-country effort to identify and catalog genetic similarities and differences in human beings. Using the information in the HapMap, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. The Project is a collaboration among scientists and funding agencies from Japan, the United Kingdom, Canada, China, Nigeria, and the United States. All of the information generated by the Project will be released into the public domain. The goal of the International HapMap Project is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. By making this information freely available, the Project will help biomedical researchers find genes involved in disease and responses to therapeutic drugs. In the initial phase of the Project, genetic data are being gathered from four populations with African, Asian, and European ancestry. Ongoing interactions with members of these populations are addressing potential ethical issues and providing valuable experience in conducting research with identified populations. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. The Project officially started with a meeting in October 2002 (https://www.genome.gov/10005336/) and is expected to take about three years.
Country
The Fish Database of Taiwan is a complex of research data for about 25 years to the Lab of Fish Ecology and Evolution, which is situated in Biodiversity Research Center of Academia Sinica.
Country
"TaiBIF" stands for Taiwan Biodiversity Information Facility. It is the Taiwan portal of GBIF, and is in charge of integrating Taiwan's biodiversity information, including lists of species and local experts, illustrations of species, introduction of endemic species and invasive species, Taiwan's terrestrial and marine organisms, biodiversity literature, geographical and environmental information, information about relevant institutions, organizations, projects, and observation spots, the Catalog of Life (a list of Taiwanese endemic species), and publications.
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.
Country
The China National GeneBank database (CNGBdb) is a unified platform for biological big data sharing and application services. CNGBdb has now integrated a large amount of internal and external biological data from resources such as CNGB, NCBI, and the EBI. There are several sub-databases in CNGBdb, including literature, variation, gene, genome, protein, sequence, organism, project, sample, experiment, run, and assembly. Based on underlying big data and cloud computing technologies, it provides various data services, including archive, analysis, knowledge search, and management authorization of biological data. CNGBdb adopts data structures and standards of international omics, health, and medicine, such as The International Nucleotide Sequence Database Collaboration (INSDC), The Global Alliance for Genomics and Health GA4GH (GA4GH), Global Genome Biodiversity Network (GGBN), American College of Medical Genetics and Genomics (ACMG), and constructs standardized data and structures with wide compatibility. All public data and services provided by CNGBdb are freely available to all users worldwide. CNGB Sequence Archive (CNSA) is the bionomics data repository of CNGBdb. CNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in life science, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, and Sequence. Moreover, CNSA has achieved the correlation of sample entities, sample information, and analyzed data on some projects. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.CNGB Sequence Archive (CNSA) is a convenient and efficient archiving system of multi-omics data in the life science of CNGBdb, which provides archiving services for raw sequencing reads and further analyzed results. CNSA follows the international data standards for omics data, and supports online and batch submission of multiple data types such as Project, Sample, Experiment/Run, Assembly, Variation, Metabolism, Single cell, Sequence. Its data submission service can be used as a supplement to the literature publishing process to support early data sharing.