000 | 02794nam a22003737a 4500 | ||
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001 | sulb0074063 | ||
003 | BD-SySUS | ||
005 | 20201011091408.0 | ||
008 | 200906r20162019ii a b 001 0 eng d | ||
020 | _a9780367240226 | ||
040 |
_aYDXCP _beng _cYDXCP _erda _dBDX _dBTCTA _dOCLCQ _dBD-SySUS |
||
082 |
_223 _bBIG _a570.285 |
||
245 | 0 | 0 |
_aBig data analysis for bioinformatics and biomedical discoveries / _cedited by Shui Qing Ye. |
264 | 1 |
_aIndia : _bCRC Press, Taylor & Francis Group, _c[2016] |
|
300 |
_axix, 273 pages : _billustrations ; _c24 cm. |
||
490 | 1 | _aChapman & Hall/CRC mathematical and computational biology series | |
500 | _a"A Chapman & Hall book." | ||
504 | _aIncludes bibliographical references and index. | ||
520 |
_a"Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references"-- _cBack cover. |
||
650 | 0 |
_aBioinformatics. _936333 |
|
650 | 0 |
_aMedical sciences _xData processing. _936334 |
|
650 | 0 |
_aSequence alignment (Bioinformatics) _936335 |
|
650 | 0 |
_aNucleotide sequence. _917056 |
|
650 | 0 |
_aData mining. _936336 |
|
650 | 0 |
_aBig data. _936337 |
|
650 | 7 |
_aBig data. _2fast _0(OCoLC)fst01892965 _936337 |
|
650 | 7 |
_aBioinformatics. _2fast _0(OCoLC)fst00832181 _936333 |
|
650 | 7 |
_aData mining. _2fast _0(OCoLC)fst00887946 _936336 |
|
650 | 7 |
_aMedical sciences _xData processing. _2fast _0(OCoLC)fst01014605 _936334 |
|
650 | 7 |
_aNucleotide sequence. _2fast _0(OCoLC)fst01041106 _917056 |
|
650 | 7 |
_aSequence alignment (Bioinformatics) _2fast _0(OCoLC)fst01747147 _936335 |
|
700 | 1 |
_aYe, Shui Qing, _d1954- _eeditor. _915910 |
|
942 |
_2ddc _cBK |
||
999 |
_c75424 _d75424 |