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001 978-1-4939-9744-2
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020 _a9781493997442
_9978-1-4939-9744-2
024 7 _a10.1007/978-1-4939-9744-2
_2doi
050 4 _aQD96.M3
072 7 _aPNFS
_2bicssc
072 7 _aSCI013010
_2bisacsh
072 7 _aPNFS
_2thema
082 0 4 _a543.65
_223
245 1 0 _aMass Spectrometry Data Analysis in Proteomics
_h[electronic resource] /
_cedited by Rune Matthiesen.
250 _a3rd ed. 2020.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Humana,
_c2020.
300 _aX, 445 p. 136 illus., 94 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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 Qualityin 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.
650 0 _aMass spectroscopy.
650 0 _aProteins .
650 1 4 _aMass Spectrometry.
650 2 4 _aProtein Biochemistry.
700 1 _aMatthiesen, Rune.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781493997435
776 0 8 _iPrinted edition:
_z9781493997459
776 0 8 _iPrinted edition:
_z9781493997466
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v2051
856 4 0 _uhttps://doi.org/10.1007/978-1-4939-9744-2
912 _aZDB-2-PRO
999 _c5520
_d5520