Informatics In Proteomics
Published on 24. June 2005
436 pages
978-1-4200-2762-4 (ISBN)
Description
The handling and analysis of data generated by proteomics investigations represent a challenge for computer scientists, biostatisticians, and biologists to develop tools for storing, retrieving, visualizing, and analyzing genomic data. Informatics in Proteomics examines the ongoing advances in the application of bioinformatics to proteomics researc
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Cancer researchers, medical informatics, and bioinformatics and informatics, computer scientists, biomedical engineers, and biologists
Illustrations
145 s/w Abbildungen, 22 s/w Tabellen
145 b/w images and 22 tables
File size
9,04 MB
ISBN-13
978-1-4200-2762-4 (9781420027624)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sudhir Srivastava
Informatics In Proteomics
Book
10/2019
1st Edition
CRC Press
€79.28
Shipment within 15-20 days
Sudhir Srivastava
Informatics In Proteomics
Book
06/2005
1st Edition
CRC Press
€327.13
Article not available at the moment
Content
The Promise of Proteomics: Biology, Applications, and Challenges; Proteomics Technologies; Creating a National Virtual Knowledge Environment for Proteomics and Information Management; Public Protein Databases and Interfaces; Proteomics Knowledge Databases: Facilitating Collaboration and Interaction between Academia, Industry, and Federal Agencies; Proteome Knowledge Bases in the Context of Cancer; Data Standards in Proteomics: Promises and Challenges; Data Standardization and Integration in Collaborative Proteomics Studies; Informatics Tools for Functional Pathway Analysis Using Genomics and Proteomics; Data Mining in Proteomics; Protein Expression Analysis; Nonparametric, Distance-Based, Supervised Protein Array Analysis; Protein Identification by Searching Collection of Sequences with Mass Spectrometric Data; Bioinformatics Tools for Differential Analysis of Proteomic Expression Profiling Data from Clinical Samples; Sample Characterization Using Large Data Sets; Computational Tools for Tandem Mass Spectrometry-Based High-Throughput Quantitative Proteomics; Pattern Recognition Algorithms and Disease Biomarkers; Statistical Design and Analytical Strategies for Discovery of Disease-Specific Protein Patterns; Image Analysis in Proteomics; Index
