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  • Ký hiệu PL/XG: 570.285 S9583
    Nhan đề: Algorithms for next-generation sequencing /
ISBN 9781466565500
DDC 570.285
Tác giả CN Sung, Wing-Kin
Nhan đề Algorithms for next-generation sequencing / Wing-Kin Sung
Thông tin xuất bản Boca Raton : CRC Press, 2017
Mô tả vật lý 347 pages. : illustrations ; 23 cm.
Tùng thư Chapman & Hall/CRC mathematical and computational biology series
Tóm tắt Advances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology
Thuật ngữ chủ đề Nucleotide sequence
Thuật ngữ chủ đề Bioinformatics
Thuật ngữ chủ đề Genetic algorithms
Khoa Khoa Công nghệ Thông tin
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245 |aAlgorithms for next-generation sequencing / |cWing-Kin Sung
260 |aBoca Raton : |bCRC Press, |c2017
300 |a347 pages. : |billustrations ; |c23 cm.
490 |aChapman & Hall/CRC mathematical and computational biology series
504 |aIncludes bibliographical references (pages 307-338) and index.
520 |aAdvances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before - as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology
541 |aMua
650 |aNucleotide sequence
650 |aBioinformatics
650 |aGenetic algorithms
690 |aKhoa Công nghệ Thông tin
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