000			02167nkm a22002778i 4500
001			0000371325
003			0001
008			221128r20162016flua b 001|0|eng|d
015			_aGBC129175 _2bnb
016	7		_a020113164 _2Uk
020			_a9780367782979 (paperback) _c℗Đ42.99
040			_aStDuBDS _beng _cStDuBDS _erda
082	0	4	_a572.80285 _223
084			_a572.80285 _bCOM _223
100	1		_eauthor.
245	0	0	_aComputational biology and bioinformatics _hBook / _bgene regulation / _cKa-Chun Wong.
300			_axii, 426 pages : _billustrations (black and white, and colour) ; _c24 cm.
365			_a01 _b11,317.12
500			_aIncludes index
520			_aThe advances in biotechnology such as the next generation sequencing technologies are occurring at breathtaking speed. Advances and breakthroughs give competitive advantages to those who are prepared. However, the driving force behind the positive competition is not only limited to the technological advancement, but also to the companion data analytical skills and computational methods which are collectively called computational biology and bioinformatics. Without them, the biotechnology-output data by itself is raw and perhaps meaningless. To raise such awareness, we have collected the state-of-the-art research works in computational biology and bioinformatics with a thematic focus on gene regulation in this book. This book is designed to be self-contained and comprehensive, targeting senior undergraduates and junior graduate students in the related disciplines such as bioinformatics, computational biology, biostatistics, genome science, computer science, applied data mining, applied machine learning, life science, biomedical science, and genetics. In addition, we believe that this book will serve as a useful reference for both bioinformaticians and computational biologists in the post-genomic era.
521			_aAll.
650		0	_aComputational biology.
650		0	_aBioinformatics.
650		0	_aGene expression.
852			_p10001000062498 _911317.12 _h572.80285 COM 62498 _vAllied Book Company _bGround Floor _dBooks _t1 _q1-New _aJZL-CUI
999			_c77244 _d77244