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Protein Data Bank: An Information Portal to Biological Macromolecular Structures

database

Provider: RCSB (Research Collaboratory for Structural Bioinformatics)
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Descriptions:  "The RCSB (Research Collaboratory for Structural Bioinformatics) is dedicated to improving our understanding of the function of biological systems through the study of the 3-D structure of biological macromolecules. RCSB members work cooperatively and equally through joint grants and subsequently provide free public resources and publications to assist others and further the fields of bioinformatics and biology."  Protein Data Bank (PDB) curates and annotates data according to agreed-upon standards and is a member of the ww (world wide) PDB. Use this database to perform simple and advanced searches based on sequence, structure and function annotations, and to visualize, download, and analyze molecules. The database is primarily for researchers, but the site also includes an entire section (PDB101) of information quite accessible enough for educational purposes. Check out the "Molecule of the Month" feature. The extensive archive contains information about experimentally-determined structures of proteins, nucleic acids, and complex assemblies.  As with many scientific databases, a personal log-in affords access to more features. The database is managed by Rutgers and University of California San Diego.
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1000 Genomes

database

Provider: 1000 Genomes
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Descriptions: 1000 Genomes: a deep catalog of human genetic variation "...is the first project to sequence the genomes of a large number of people, to provide a comprehensive resource on human genetic variation... The goal of the 1000 Genomes Project is to find most genetic variants that have frequencies of at least 1% in the populations studied." 1000 Genomes is an international endeavor, with participants from institutes, governments and universities world-wide. "DNA from the samples will be available for researchers to follow up with more detailed studies of variation in particular regions. The cell lines will allow researches to study cellular phenotypes such as gene expression, epigenetic patterns, and drug response. The extensive genotype data available on the samples, and the trio samples for some of the populations, will allow researchers to map regions of the genome computationally that affect the cellular phenotypes, and to study the heritability of these phenotypes."
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