000			03414nam a22005415i 4500
001			u370212
003			SIRSI
005			20160812080020.0
007			cr nn 008mamaa
008			100907s2010 xxu| s |||| 0|eng d
020			_a9780387697451 _9978-0-387-69745-1
040			_cMX-MeUAM
050		4	_aRC261-271
082	0	4	_a614.5999 _223
100	1		_aYegnasubramanian, Srinivasan. _eeditor.
245	1	0	_aModern Molecular Biology _h[recurso electrónico] : _bApproaches for Unbiased Discovery in Cancer Research / _cedited by Srinivasan Yegnasubramanian, William B. Isaacs.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2010.
300			_aXII, 192 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aApplied Bioinformatics and Biostatistics in Cancer Research
505	0		_aGenome-Scale Analysis of Data from High-Throughput Technologies -- Analysis of Inherited and Acquired Genetic Variation -- Examining DNA–Protein Interactions with Genome-Wide Chromatin Immunoprecipitation Analysis -- Genome-Wide DNA Methylation Analysis in Cancer Research -- Use of Expression Microarrays in Cancer Research -- Signal Sequencing for Gene Expression Profiling -- Mass Spectrometry Based Proteomics in Cancer Research -- Tissue Microarrays in Cancer Research.
520			_aA convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena driving cancer initiation and progression. Such technologies include DNA microarrays, next generation sequencing, proteomics technologies, and tissue microarrays. In order to properly harness these technologies to imaginatively decipher these complex biological processes, scientists must have an understanding of the underlying technology, be able to adapt these technologies with molecular biology lab approaches, and then be poised to efficiently process and interpret the extremely high dimensional and complex data sets that are generated by these technologies. The primary purpose of this volume is to help bridge the gap between molecular biologists and cancer researchers and the bioinformatics and computational biology researchers by providing an overview of these technologies to those that are not yet familiar with them.
650		0	_aMedicine.
650		0	_aOncology.
650		0	_aHuman genetics.
650		0	_aMedical laboratories.
650		0	_aMicrobiology.
650		0	_aMedical virology.
650	1	4	_aBiomedicine.
650	2	4	_aCancer Research.
650	2	4	_aHuman Genetics.
650	2	4	_aLaboratory Medicine.
650	2	4	_aMedical Microbiology.
650	2	4	_aMolecular Medicine.
650	2	4	_aVirology.
700	1		_aIsaacs, William B. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387697444
830		0	_aApplied Bioinformatics and Biostatistics in Cancer Research
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-387-69745-1
596			_a19
942			_cLIBRO_ELEC
999			_c198092 _d198092