2 options
Mass Spectrometry Data Analysis in Proteomics / edited by Rune Matthiesen.
Connect to full text Available online
View onlineHolman Biotech Commons QH506 .M45 v.1 (1984)-v.20 (1993),v.22 (1994),v.24 (1994)-v.53 (1996), v.42 (1995) and v.51 (1995) reported missing 3-13-2000 v.55 (1995),v.58 (1996)-v.63 (1997), v.65 (1996)-v.154 (2001), v.156 (2001)-190 (2002), v.192 (2002)-v.407 (2007) v.409 (2007)-v.416 (2008),v.418 (2008)-v.466 v.468-v.490,v.492,v.494,v.496-499 501-506,508,510-512,514,516-517,519-536 538,540-569,571 573-589,591-608,610-615,617,620-627,630-633,636,638,642
Available
- Format:
- Book
- Series:
- Methods in molecular biology 1064-3745 ; 367.
- Springer Protocols (Springer-12345)
- Methods in Molecular Biology, 1064-3745 ; 367
- Language:
- English
- Subjects (All):
- Life sciences.
- Biotechnology.
- Biochemistry.
- Proteomics.
- Bioinformatics.
- Cytology.
- Life Sciences.
- Biochemistry, general.
- Cell Biology.
- Local Subjects:
- Life Sciences.
- Biochemistry, general.
- Cell Biology.
- Bioinformatics.
- Biotechnology.
- Proteomics.
- Physical Description:
- 1 online resource (X, 320 pages) : 87 illustrations.
- Contained In:
- Springer eBooks
- Place of Publication:
- Totowa, NJ : Humana Press, 2007.
- System Details:
- text file PDF
- Summary:
- Mass 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.
- Contents:
- to 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
- Organization of Proteomics Data With YassDB
- Analysis of Carbohydrates by Mass Spectrometry
- Useful Mass Spectrometry Programs Freely Available on the Internet.
- Other Format:
- Printed edition:
- ISBN:
- 9781597452755
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.