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Found 5 result(s)
The Saccharomyces Genome Database (SGD) provides comprehensive integrated biological information for the budding yeast Saccharomyces cerevisiae along with search and analysis tools to explore these data, enabling the discovery of functional relationships between sequence and gene products in fungi and higher organisms.
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Publication of scans of photographic plates from the so-called "Potsdam zone" of the Carte du Ciel project (32 deg to 39 deg). A total of 977 plates of 2 square degree sky regions was observed and recorded between 1913 to 1924. Since Potsdam Observatory ended participation in the Carte du Ciel project, these observations were so far not analysed or published. Plates were scanned in by a flat bed scanner in 2007-2008. Limitations in astrometric precision as well are to be expected, and specific observational restrains apply, such as multiple exposures on certain plates (see literature)
The objective of the Database of Genomic Variants is to provide a comprehensive summary of structural variation in the human genome. We define structural variation as genomic alterations that involve segments of DNA that are larger than >1kb. Now we also annotate InDels in 100bp-1kb range. The content of the database is only representing structural variation identified in healthy control samples. The Database of Genomic Variants provides a useful catalog of control data for studies aiming to correlate genomic variation with phenotypic data. The database is continuously updated with new data from peer reviewed research studies. We always welcome suggestions and comments regarding the database from the research community.
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The COSYNA observatory measures key physical, sedimentary, geochemical and biological parameters at high temporal resolution in the water column and at the sediment and atmospheric boundaries. COSYNA delivers spatial representation through a set of fixed and moving platforms, like tidal flats poles, FerryBoxes, gliders, ship surveys, towed devices, remote sensing, etc.. New technologies like underwater nodes, benthic landers and automated sensors for water biogeochemical parameters are further developed and tested. A great variety of parameters is measured and processed, stored, analyzed, assimilated into models and visualized.