000			03446nam a22003615i 4500
001			233261
003			ES-VaUE
005			20221220020448.0
007			cr nn 008mamaa
008			190924s2020 xxu| s |||| 0|eng d
020			_a9781493997442
024	7		_a10.1007/978-1-4939-9744-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMass Spectrometry Data Analysis in Proteomics _cedited by Rune Matthiesen.
250			_a3rd edition 2020
264		1	_aNew York, NY _bSpringer International Publishing _c2020
300			_a1 recurso en línea (X, 445 páginas) _b136 ilustraciones, 94 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 _v2051
505	0		_aIntroduction to Mass Spectrometry-based Proteomics -- LC-MS Spectra Processing -- Isotopic Distributions -- Retention Time Prediction and Protein Identification -- Comparing Peptide Spectra Matches Across Search Engines -- Calculation of False Discovery Rate for Peptide and Protein Identification -- Methods and Algorithms for Quantitative Proteomics by Mass Spectrometry -- Interpretation of Tandem Mass Spectra of Posttranslationally Modified Peptides -- Solution to Dark Matter Identified by Mass-tolerant Database Search -- Phosphoproteomics Profiling to Identify Altered Signaling Pathways and Kinase-targeted Cancer Therapies -- Mass Spectrometry Based Characterization of Ub- and UbL-modified Proteins -- Targeted Proteomics as a Tool for Quantifying Urine-based Biomarkers -- Data Imputation in Merged Isobaric Labelling-based Relative Quantification Datasets -- Clustering Clinical Data in R -- Review of Issues and Solutions to Data Analysis Reproducibility and Data Quality in Clinical Proteomics -- Review of Batch Effects Prevention, Diagnostics, and Correction Approaches -- Using the Object-oriented PowerShell for Simple Proteomics Data Analysis -- Considerations in the Analysis of Hydrogen Exchange Mass Spectrometry Data.
520			_aThe aim of this new edition is to provide detailed information on each topic and present novel ideas and views that can influence future developments in mass spectrometry-based proteomics. In contrast to the previous editions, this third edition aims to provide the most relevant computational methods, focusing on computational concepts. 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, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Mass Spectrometry Data Analysis in Proteomics, Third Edition to ensure successful results in the further study of this vital field.
700	1		_aMatthiesen, Rune _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493997435
776	0	8	_iPrinted edition: _z9781493997459
776	0	8	_iPrinted edition: _z9781493997466
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-9744-2 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2020
999			_c233261 _d233261