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of 4
pro vyhledávání: '"Oleg Shutov"'
Autor:
Kenneth S. Katz, Oleg Shutov, Richard Lapoint, Michael Kimelman, J. Rodney Brister, Christopher O’Sullivan
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Sequence Read Archive submissions to the National Center for Biotechnology Information often lack useful metadata, which limits the utility of these submissions. We describe the Sequence Taxonomic Analysis Tool (STAT), a scalable k-mer-based
Externí odkaz:
https://doaj.org/article/3d96de0f6dbf4ab7a780e060482f635e
Autor:
Oleg Shutov, Michael Kimelman, Richard T. Lapoint, J. Rodney Brister, Kenneth S. Katz, Christopher O'Sullivan
Publikováno v:
Nucleic Acids Res
The Sequence Read Archive (SRA, https://www.ncbi.nlm.nih.gov/sra/) stores raw sequencing data and alignment information to enhance reproducibility and facilitate new discoveries through data analysis. Here we note changes in storage designed to incre
Autor:
J. Rodney Brister, Michael Kimelman, Kenneth S. Katz, Oleg Shutov, Richard T. Lapoint, Christopher O'Sullivan
Publikováno v:
Genome Biology
Genome Biology, Vol 22, Iss 1, Pp 1-15 (2021)
Genome Biology, Vol 22, Iss 1, Pp 1-15 (2021)
Sequence Read Archive submissions to the National Center for Biotechnology Information often lack useful metadata, which limits the utility of these submissions. We describe the Sequence Taxonomic Analysis Tool (STAT), a scalable k-mer-based tool for
Autor:
Michael Kimelman, J. R. Brister, Oleg Shutov, Richard T. Lapoint, Kenneth S. Katz, Christopher O'Sullivan
Sequence Read Archive submissions to the National Center for Biotechnology Information often lack useful metadata, which limits the utility of these submissions. We describe a scalable k-mer based tool for fast assessment of taxonomic diversity intri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d19205bc0bc4eea9266489463e18aa29
https://doi.org/10.1101/2021.02.16.431451
https://doi.org/10.1101/2021.02.16.431451