000 04164nam a22005415i 4500
001 978-1-59745-275-5
003 DE-He213
005 20260610083700.0
007 cr nn 008mamaa
008 100301s2007 xxu| s |||| 0|eng d
020 _a9781597452755
_9978-1-59745-275-5
024 7 _a10.1385/1597452750
_2doi
050 4 _aQD415-436
072 7 _aPSB
_2bicssc
072 7 _aSCI007000
_2bisacsh
072 7 _aPSB
_2thema
082 0 4 _a572
_223
245 1 0 _aMass Spectrometry Data Analysis in Proteomics
_h[electronic resource] /
_cedited by Rune Matthiesen.
250 _a1st ed. 2007.
264 1 _aTotowa, NJ :
_bHumana Press :
_bImprint: Humana,
_c2007.
300 _aX, 320 p. 87 illus.
_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 ;
_v367
505 0 _ato Proteomics -- Extracting Monoisotopic Single-Charge Peaks From Liquid Chromatography-Electrospray Ionization-Mass Spectrometry -- Calibration of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Peptide Mass Fingerprinting Spectra -- Protein Identification by Peptide Mass Fingerprinting -- Generating Unigene Collections of Expressed Sequence Tag Sequences for Use in Mass Spectrometry Identification -- Protein Identification by Tandem Mass Spectrometry and Sequence Database Searching -- Virtual Expert Mass Spectrometrist v3.0 -- Quantitation With Virtual Expert Mass Spectrometrist -- Sequence Handling by Sequence Analysis Toolbox v1.0 -- Interpretation of Collision-Induced Fragmentation Tandem Mass Spectra of Posttranslationally Modified Peptides -- Retention Time Prediction and Protein Identification -- Quantitative Proteomics by Stable Isotope Labeling and Mass Spectrometry -- Quantitative Proteomics for Two-Dimensional Gels Using Difference Gel Electrophoresis -- Proteomic Data Exchange and Storage -- Proteomic Data Exchange and Storage -- Organization of Proteomics Data With YassDB -- Analysis of Carbohydrates by Mass Spectrometry -- Useful Mass Spectrometry Programs Freely Available on the Internet.
520 _aMass Spectrometry Data Analysis in Proteomics is an in-depth guide to the theory and practice of analyzing raw mass spectrometry (MS) data in proteomics. As MS is a high throughput technique, proteomic researchers must attend carefully to the associated field of data analysis, and this volume outlines available bioinformatics programs, algorithms, and databases available for MS data analysis. General guidelines for data analysis using search engines such as Mascot, Xtandem, and VEMS are provided, with specific attention to identifying poor quality data and optimizing search parameters. Several different types of MS data are discussed, followed by a description of optimal methods for conversion of raw data into peak lists for input to search engines. Choosing the most accurate and complete databases is emphasized, and a report of available sequence databases is included. Methods for assembling expressed sequence tags (ESTs) into assembled nonredundant databases are provided, along with protocols for further processing the sequences into a format suitable for MS data. Mass Spectrometry Data Analysis in Proteomics describes publicly available applications whenever possible.
650 0 _aBiochemistry.
650 0 _aCytology.
650 0 _aBioinformatics.
650 0 _aBiotechnology.
650 0 _aProteins .
650 1 4 _aBiochemistry.
650 2 4 _aCell Biology.
650 2 4 _aBioinformatics.
650 2 4 _aBiotechnology.
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:
_z9781588295637
776 0 8 _iPrinted edition:
_z9781617376443
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v367
856 4 0 _uhttps://doi.org/10.1385/1597452750
912 _aZDB-2-PRO
999 _c7233
_d7233