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008			130719s2013 xxu| o |||| 0|eng d
020			_a9781627035149
024	7		_a10.1007/978-1-62703-514-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP625 .N89 _b2013 EB
245	0	0	_aDeep Sequencing Data Analysis _cedited by Noam Shomron
250			_a1st edition 2013
264		1	_aTotowa, NJ _bHumana Press _c2013
300			_a1 recurso en línea (X, 234 páginas) _b81 ilustraciones, 43 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 _v1038
505	0		_aAn Introduction to High-throughput Sequencing Experiments: Design and Bioinformatics Analysis -- Compressing Resequencing Data with GReEn ∗ -- On the Accuracy of Short Read Mapping -- Statistical Modeling of Coverage in High-Throughput Data -- Assembly Algorithms for Deep Sequencing Data: Basics and Pitfalls -- Short Reads Mapping for Exome Sequencing. ­Profiling Short Tandem Repeats from Short Reads -- Exome Sequencing Analysis: A Guide to Disease Variant Detection -- Identifying RNA Editing Sites in miRNAs by Deep Sequencing -- Identifying Differential Alternative Splicing Events from RNA Sequencing Data using RNASeq-MATS -- Optimizing Detection of Transcription Factor Binding Sites in ChIP-seq Experiments -- Statistical Analysis of ChIP-seq Data with MOSAiCS -- Detection of Reverse Transcriptase Termination Sites using cDNA Ligation and Massive Parallel Sequencing.
520			_aThe new genetic revolution is fuelled by deep sequencing (or next generation sequencing) apparatuses which, in essence, read billions of nucleotides per reaction. Effectively, when carefully planned, any experimental question which can be translated into reading nucleic acids can be applied. In Deep Sequencing Data Analysis, expert researchers in the field detail methods which are now commonly used to study the multi-facet deep sequencing data field. These included techniques for compressing of data generated, chromatin immunoprecipitation (ChIP-seq),  and various approaches for the identification of sequence variants. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of necessary materials and reagents, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.   Authoritative and practical, Deep Sequencing Data Analysis seeks to aid scientists in the further understanding of key data analysis procedures for deep sequencing data interpretation.
988			_aSpringer_Protocols_2013
650		7	_2embne _9163038 _aSecuenciación de ácidos nucleicos _vManuales de laboratorio
776	0	8	_iPrinted edition: _z9781627035156
776	0	8	_iPrinted edition: _z9781627035132
776	0	8	_iPrinted edition: _z9781493960279
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-62703-514-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2023 _dz _eu _zSI