000			02206cam a2200277zu 4500
001			88873072
003			FRCYB88873072
005			20250107232120.0
006			m o d
007			cr un
008			250108s2019 fr | o|||||0|0|||eng d
020			_a9780128165485
035			_aFRCYB88873072
040			_aFR-PaCSA _ben _c _erda
100	1		_aMisra, Gauri
245	0	1	_aData Processing Handbook for Complex Biological Data Sources _c['Misra, Gauri']
264		1	_bElsevier Science _c2019
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aMisra, Gauri
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88873072 _qtext/html _a
520			_aData Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened.Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic levelPresents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological dataDiscusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing
999			_c72074 _d72074