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Low-Abundance Proteome Discovery addresses the most critical challenge in biomarker discovery and progress: the identification of low-abundance proteins. The book describes an original strategy developed by the authors that permits the detection of protein species typically found in very low abundance and that may yield valuable clues to future discoveries. Known as combinatorial peptide ligand libraries, these new methodologies are one of the hottest topics related to the study of proteomics and have applications in medical diagnostics, food quality, and plant analysis. The book is

Proteins - Analysis. --- Proteins -- Analysis. --- Proteomics. --- Proteomics - Methodology. --- Proteomics -- Methodology. --- Proteomics --- Proteins --- Human Anatomy & Physiology --- Health & Biological Sciences --- Animal Biochemistry --- Methodology --- Analysis --- Methodology. --- Analysis. --- Molecular biology

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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.

Spectrometric and optical chemical analysis --- Analytical biochemistry --- Information systems --- fysicochemie --- Biochemistry. --- Cytology. --- Bioinformatics. --- Biotechnology. --- Proteomics. --- Biochemistry, general. --- Cell Biology. --- Chemical engineering --- Genetic engineering --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Cell biology --- Cellular biology --- Cells --- Cytologists --- Biological chemistry --- Chemical composition of organisms --- Organisms --- Physiological chemistry --- Chemistry --- Medical sciences --- Molecular biology --- Proteins --- Data processing --- Composition --- Proteomics --- Mass Spectrometry --- Expressed Sequence Tags --- Methodology --- methods --- Proteomics - Methodology --- Mass Spectrometry - methods --- Proteomics - methods