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001			233068
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007			cr nn 008mamaa
008			180723s2018 xxu| s |||| 0|eng d
020			_a9781493986668
024	7		_a10.1007/978-1-4939-8666-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aCopy Number Variants _bMethods and Protocols _cedited by Derek M. Bickhart.
250			_a1st edition 2018
264		1	_aNew York, NY _bSpringer International Publishing _c2018
300			_a1 recurso en línea (X, 206 páginas) _b36 ilustraciones, 25 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v1833
505	0		_aIdentification of Copy Number Variants from SNP Arrays using PennCNV -- Using SAAS-CNV to Detect and Characterize Somatic Copy Number Alterations in Cancer Genomes from Next Generation Sequencing and SNP Array Data -- Statistical Detection of Genome Differences Based on CNV Segment -- Whole Genome Shotgun Sequence CNV Detection using Read Depth -- Read Depth Analysis to Identify CNV in Bacteria using CNOGpro -- Using HaMMLET for Bayesian Segmentation of WGS read-depth Data -- Split-Read InDel and Structural Variant Calling Using PINDEL -- Detecting Small Inversions using SRinversion -- Detection of CNVs in NGS data using VS-CNV -- Structural Variant Breakpoint Detection with novoBreak -- Use of RAPTR-SV to Identify SVs from Read Pairing and Split Read Signatures -- Versatile Identification of Copy Number Variants with Canvas -- Analysis of Population-genetic Properties of Copy Number Variations -- Validation of Genomic Structural Variants through Long Sequencing Technologies -- Structural Variation Detection and Analysis using Bionano Optical Mapping.
520			_aThis volume offers detailed step-by-step instructions to allow beginners and experts alike to run appropriate copy number variants (CNV) detection software on a dataset of choice and discern between false positive noise and true positive CNV signals. Chapters guide readers through single nucleotide polymorphism (SNP) chips, optical mapping assembly techniques, and current open-source programs specializing in CNV detection. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Copy Number Variants: Methods and Protocols aims to provide guidance to Bioinformaticians and Molecular Biologists who are interested in identifying copy number variants (CNV) with a wide variety of experimental media.
700	1		_aBickhart, Derek M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493986651
776	0	8	_iPrinted edition: _z9781493986675
776	0	8	_iPrinted edition: _z9781493993598
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-8666-8 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2018
999			_c233068 _d233068