Proteome Bioinformatics

This new edited volume in the Springer Subcellular Biochemistry Series presents a comprehensive, state-of-the-art overview of the proteomics of peroxisomes derived from mammalian, Drosophila, fungal, and plant origin, and contains contributions from leading experts in the field.

This volume addresses the latest state-of-the-art systems biology-oriented approaches that–driven by big data and bioinformatics–are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology.

Hands-on researchers describe in step-by-step detail 73 proven laboratory methods and bioinformatics tools essential for analysis of the proteome. These cutting-edge techniques address such important tasks as sample preparation, 2D-PAGE, gel staining, mass spectrometry, and post-translational modification. There are also readily reproducible methods for protein expression profiling, identifying protein-protein interactions, and protein chip technology, as well as a range of newly developed methodologies for determining the structure and function of a protein. The bioinformatics tools include those for analyzing 2D-GEL patterns, protein modeling, and protein identification. All laboratory-based protocols follow the successful Methods in Molecular Biology™ series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.

This volume addresses the latest state-of-the-art systems biology-oriented approaches that–driven by big data and bioinformatics–are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology.

This volume addresses the latest state-of-the-art systems biology-oriented approaches that–driven by big data and bioinformatics–are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology.