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Proteome Bioinformatics
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ISBN: 9781607614432

The feld of proteomics moves rapidly. New methods, techniques, applications, standards, models and software appear almost on a daily basis. Accompanying this are plenty of texts on the ex… Más…

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Proteome Bioinformatics: 604 (Methods in Molecular Biology, 604)
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Proteome Bioinformatics: 604 (Methods in Molecular Biology, 604) - encuadernado, tapa blanda

2009, ISBN: 9781607614432

Editor: Hubbard, Simon J. Editor: Jones, Andrew R. Humana, Hardcover, Auflage: 2010, 416 Seiten, Publiziert: 2009-12-23T00:00:01Z, Produktgruppe: Book, 2.07 kg, Books Global Store, Specia… Más…

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Hubbard, Simon J. [Editor]; Jones, Andrew R. [Editor];:
Proteome Bioinformatics (Methods in Molecular Biology) - encuadernado, tapa blanda

2009

ISBN: 9781607614432

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Proteome Bioinformatics (Methods in Molecular Biology, 604) - Hubbard, Simon J.
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Hubbard, Simon J.:
Proteome Bioinformatics (Methods in Molecular Biology, 604) - encuadernado, tapa blanda

2009, ISBN: 160761443X

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Simon Hubbard:
Proteome Bioinformatics - encuadernado, tapa blanda

ISBN: 9781607614432

Hardback. New. This book probes the fluid field of proteomics, offering review and methodology chapters that address the fundamentals of analysis methods, algorithms, data standards and … Más…

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Detalles del libro
Proteome Bioinformatics: 604 (Methods in Molecular Biology, 604)

The field of proteomics moves rapidly, as new methods, techniques, applications, standards, models and software appear almost on a daily basis. In Proteome Bioinformatics, expert researchers explore this ever-changing field, providing the reader with a mix of review and methodology chapters which address the fundamentals of analysis methods, algorithms, data standards and databases. Chapters include practical considerations for analyzing database search results, annotating genomes, speeding up searches, and responding to specific data processing challenges. As a volume of the highly successful Methods in Molecular Biology series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and ground-breaking, Proteome Bioinformatics is an essential guidebook for the novice and expert alike, covering topics that address a wide range of data analysis and management problems. TOC:An Introduction to Proteome Bioinformatics.- Bioinformatics Methods for Protein Identification Using Peptide Mass Fingerprinting.- Computational approaches to peptide identification via tandem MS. Scoring and validation of tandem MS peptide identification methods.- Target-Decoy Search Strategy for Mass Spectrometry-based Proteomics.- Understanding and Exploiting Peptide Fragment Ion Intensities Using Experimental and Informatic Approaches.- Spectral Library Searching for Peptide Identification via Tandem MS.- De novo Sequencing Methods in Proteomics.- Cross Species Proteomics.- Gene model detection using mass spectrometry.- Signal Processing in Proteomics.- A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting.- Mining proteomic MS/MS data for MRM transitions.- OpenMS and TOPP: Open Source Software for LC-MS Data Analysis.- Trans-Proteomic Pipeline: A Pipeline For Proteomic Analysis.- Informatics and statistics for analyzing 2-D gel electrophoresis images.- Automated generic analysis tools for protein quantitation using stable isotope labelling.- An overview of label-free quantitation methods in proteomics by mass spectrometry.- The PeptideAtlas Project.- Using the PRIDE Proteomics Identifications Database for Knowledge Discovery and Data Analysis.- Molecular Interactions and data standardisation.- Mass Spectrometer Output File Format mzML.- Managing experimental data using FuGE.- Proteomics Data Collection (ProDaC).- Publishing and Collecting Proteomics Data Sets in Public Repositories using Standard Formats.- Computational Resources for the Prediction and Analysis of Native Disorder in Proteins.

Detalles del libro - Proteome Bioinformatics: 604 (Methods in Molecular Biology, 604)


EAN (ISBN-13): 9781607614432
ISBN (ISBN-10): 160761443X
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Humana
403 Páginas
Peso: 0,933 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2007-12-05T00:40:04-06:00 (Mexico City)
Página de detalles modificada por última vez el 2023-11-26T12:19:08-06:00 (Mexico City)
ISBN/EAN: 9781607614432

ISBN - escritura alterna:
1-60761-443-X, 978-1-60761-443-2
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: andy jones, andrew jones, ron hubbard
Título del libro: bioinformatics


Datos del la editorial

Autor: Simon J. Hubbard; Andrew R. Jones
Título: Methods in Molecular Biology; Proteome Bioinformatics
Editorial: Humana; Humana Press
404 Páginas
Año de publicación: 2009-12-23
Totowa; NJ; US
Impreso en
Idioma: Inglés
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
XII, 404 p. 92 illus.

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Proteomics; algorithms; bioinformatics; databases; genes; genome; molecular biology; Theory of Computation; Protein Biochemistry; Bioinformatics; Biochemie; DV-gestützte Biologie/Bioinformatik; BC

An Introduction to Proteome Bioinformatics.- Bioinformatics Methods for Protein Identification Using Peptide Mass Fingerprinting.- Computational Approaches to Peptide Identification via Tandem MS.- Scoring and Validation of Tandem MS Peptide Identification Methods.- Target-Decoy Search Strategy for Mass Spectrometry-Based Proteomics.- Understanding and Exploiting Peptide Fragment Ion Intensities Using Experimental and Informatic Approaches.- Spectral Library Searching for Peptide Identification via Tandem MS.- De Novo Sequencing Methods in Proteomics.- Cross Species Proteomics.- Gene Model Detection Using Mass Spectrometry.- Signal Processing in Proteomics.- A High-Performance Reconfigurable Computing Solution for Peptide Mass Fingerprinting.- Mining Proteomic MS/MS Data for MRM Transitions.- OpenMS and TOPP: Open Source Software for LC-MS Data Analysis.- Trans-Proteomic Pipeline: A Pipeline for Proteomic Analysis.- Informatics and Statistics for Analyzing 2-D Gel Electrophoresis Images.- Automated Generic Analysis Tools for Protein Quantitation Using Stable Isotope Labeling.- An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry.- The PeptideAtlas Project.- Using the PRIDE Proteomics Identifications Database for Knowledge Discovery and Data Analysis.- Molecular Interactions and Data Standardisation.- Mass Spectrometer Output File Format mzML.- Managing Experimental Data Using FuGE.- Proteomics Data Collection (ProDaC): Publishing and Collecting Proteomics Data Sets in Public Repositories Using Standard Formats.- Computational Resources for the Prediction and Analysis of Native Disorder in Proteins.
Includes cutting-edge informatics methods for identifying and quantifying proteins Provides descriptions of the main proteomics databases and guidance on proteomic data standards Gives an overview of statistics and scoring methods used in proteomics software Includes supplementary material: sn.pub/extras

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