| 000 | 02296cam a2200325 i 4500 | ||
|---|---|---|---|
| 001 | 19096578 | ||
| 003 | IIITD | ||
| 005 | 20230520020003.0 | ||
| 008 | 160516t20162016flua b 001 0 eng c | ||
| 010 | _a2016304813 | ||
| 020 | _a9781498724524 | ||
| 040 | _aYDXCP | ||
| 082 |
_a570.285 _bYE-B |
||
| 245 | 0 | 0 |
_aBig data analysis for bioinformatics and biomedical discoveries _cedited by Shui Qing Ye. |
| 260 |
_aNew York : _bCRC Press, _c©2016. |
||
| 300 |
_axix, 273 p. : _bill. ; _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"-- | ||
| 650 | 0 | _aBioinformatics. | |
| 650 | 0 |
_aMedical sciences _xData processing. |
|
| 650 | 0 | _aSequence alignment (Bioinformatics) | |
| 650 | 0 | _aNucleotide sequence. | |
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aBig data. | |
| 700 |
_4editor _aYe, Shui Qing |
||
| 906 |
_a7 _bcbc _cpccadap _d2 _encip _f20 _gy-gencatlg |
||
| 942 |
_2ddc _cBK _07 |
||
| 999 |
_c24110 _d24110 |
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