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006 m o d
007 cr |||||||||||
008 121119s2013 enk ob 001 0 eng
010 _a 2012046813
020 _a9781118493779
_q(ePub)
020 _a111849377X
_q(ePub)
020 _a9781118493786
_q(Adobe PDF)
020 _a1118493788
_q(Adobe PDF)
020 _a9781118493960
_q(MobiPocket)
020 _a1118493966
_q(MobiPocket)
020 _a9781118494042
_q(electronic bk.)
020 _a1118494040
_q(electronic bk.)
020 _a9781299188266
_q(MyiLibrary)
020 _a1299188265
_q(MyiLibrary)
020 _z9781119964001
_q(cloth)
020 _z1119964008
_q(cloth)
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035 _a(OCoLC)818866405
_z(OCoLC)827207580
_z(OCoLC)828494621
_z(OCoLC)860503552
040 _aDLC
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050 0 0 _aQP551
072 7 _aSCI
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082 0 0 _a572/.636
_223
100 1 _aEidhammer, Ingvar.
245 1 0 _aComputational and statistical methods for protein quantification by mass spectrometry /
_cIngvar Eidhammer, Harald Barsnes, Geir Egil Eide, Lennart Martens.
_h[electronic resource]
264 1 _aChichester, West Sussex, United Kingdom :
_bJohn Wiley & Sons Inc.,
_c2013.
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aComputational and Statistical Methods for Protein Quantification by Mass Spectrometry; Contents; Preface; Terminology; Acknowledgements; 1 Introduction; 1.1 The composition of an organism; 1.1.1 A simple model of an organism; 1.1.2 Composition of cells; 1.2 Homeostasis, physiology, and pathology; 1.3 Protein synthesis; 1.4 Site, sample, state, and environment; 1.5 Abundance and expression -- protein and proteome profiles; 1.5.1 The protein dynamic range; 1.6 The importance of exact specification of sites and states; 1.6.1 Biological features; 1.6.2 Physiological and pathological features.
505 8 _a1.6.3 Input features1.6.4 External features; 1.6.5 Activity features; 1.6.6 The cell cycle; 1.7 Relative and absolute quantification; 1.7.1 Relative quantification; 1.7.2 Absolute quantification; 1.8 In vivo and in vitro experiments; 1.9 Goals for quantitative protein experiments; 1.10 Exercises; 2 Correlations of mRNA and protein abundances; 2.1 Investigating the correlation; 2.2 Codon bias; 2.3 Main results from experiments; 2.4 The ideal case for mRNA-protein comparison; 2.5 Exploring correlation across genes; 2.6 Exploring correlation within one gene; 2.7 Correlation across subsets.
505 8 _a2.8 Comparing mRNA and protein abundances across genes from two situations2.9 Exercises; 2.10 Bibliographic notes; 3 Protein level quantification; 3.1 Two-dimensional gels; 3.1.1 Comparing results from different experiments -- DIGE; 3.2 Protein arrays; 3.2.1 Forward arrays; 3.2.2 Reverse arrays; 3.2.3 Detection of binding molecules; 3.2.4 Analysis of protein array readouts; 3.3 Western blotting; 3.4 ELISA -- Enzyme-Linked Immunosorbent Assay; 3.5 Bibliographic notes; 4 Mass spectrometry and protein identification; 4.1 Mass spectrometry; 4.1.1 Peptide mass fingerprinting (PMF).
505 8 _a4.1.2 MS/MS -- tandem MS4.1.3 Mass spectrometers; 4.2 Isotope composition of peptides; 4.2.1 Predicting the isotope intensity distribution; 4.2.2 Estimating the charge; 4.2.3 Revealing isotope patterns; 4.3 Presenting the intensities -- the spectra; 4.4 Peak intensity calculation; 4.5 Peptide identification by MS/MS spectra; 4.5.1 Spectral comparison; 4.5.2 Sequential comparison; 4.5.3 Scoring; 4.5.4 Statistical significance; 4.6 The protein inference problem; 4.6.1 Determining maximal explanatory sets; 4.6.2 Determining minimal explanatory sets; 4.7 False discovery rate for the identifications.
505 8 _a4.7.1 Constructing the decoy database4.7.2 Separate or composite search; 4.8 Exercises; 4.9 Bibliographic notes; 5 Protein quantification by mass spectrometry; 5.1 Situations, protein, and peptide variants; 5.1.1 Situation; 5.1.2 Protein variants -- peptide variants; 5.2 Replicates; 5.3 Run -- experiment -- project; 5.3.1 LC-MS/MS run; 5.3.2 Quantification run; 5.3.3 Quantification experiment; 5.3.4 Quantification project; 5.3.5 Planning quantification experiments; 5.4 Comparing quantification approaches/methods; 5.4.1 Accuracy; 5.4.2 Precision; 5.4.3 Repeatability and reproducibility.
520 _aThe definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experim.
588 0 _aPrint version record and CIP data provided by publisher.
650 0 _aProteomics
_xStatistical methods.
650 0 _aMass spectrometry
_xData processing.
650 7 _aSCIENCE
_xLife Sciences
_xBiochemistry.
_2bisacsh
650 7 _aProteomik.
_2sao
650 7 _aMasspektrometri.
_2sao
655 4 _aElectronic books.
655 7 _aElectronic books.
_2local
700 1 _aBarsnes, Harald.
700 1 _aEide, Geir Egil.
700 1 _aMartens, Lennart.
776 0 8 _iPrint version:
_aEidhammer, Ingvar.
_tComputational and statistical methods for protein quantification by mass spectrometry.
_dChichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2013
_z9781119964001
_w(DLC) 2012033614
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118494042
_zWiley Online Library
942 _2ddc
_cBK
999 _c206267
_d206267