Informatics In Proteomics

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