This volume discusses the latest developments in clinical proteomics and describes in detail the algorithms used in publicly available software tools. It should be considered as a proteomics-bioinformatics resource and offers the opportunity to understand the details of the various publicly available algorithms.
From the reviews: "This volume of Methods in Molecular Biology provides an overview of the recent improvements in the use of bioinformatics in clinical research. ! All chapters provide pertinent examples. ! The book is intended primarily for scientists involved in biomedical informatics (computational biologists, biostatisticians, computer scientists) who are active in the field of clinical research. This includes both first-time and seasoned students and biomedical researchers who are interested in using bioinformatics. ! It also presents a number of valuable approaches currently in use." (Ruben Mestril, Doody's Review Service, April, 2010)
Bioinformatics Methods in Clinical Research Rune Matthiesen, Editor Table of Contents Preface Contributors Introduction to omics Ewa Gubb and Rune Matthiesen Machine learning: an indispensable tool in bioinformatics Inaki Inza, Borja Calvo, Ruben Armananzas, Endika Bengoetxea, Pedro Larranaga, Jose A. Lozano SNP-PHAGE -- High throughput SNP discovery pipeline Ana M. Aransay, Rune Matthiesen, and Manuela M. Regueiro R classes and methods for SNP array data Robert B. Scharpf and Ingo Ruczinski Overview on techniques in cluster analysis Itziar Frades and Rune Matthiesen Non Alcoholic Steatohepatitis, Animal Models, and Biomarkers, What is new? Usue Ariz, Jose Maria Mato, Maria L Martinez Chantar Biomarkers in breast cancer Maria dM. Vivanco Genome-wide proximal promoter analysis and interpretation, Elizabeth Guruceaga, Vicotor Segura, Fernando J. Corrales and Angel Rubio Proteomics facing the combinatorial problem Rune Matthiesen Methods and algorithms for relative quantitative proteomics by mass spectrometry Rune Matthiesen and Ana Sofia Carvalho Feature selection and machine learning with mass spectrometry data Susmita Datta and Vasyl Pihur Computational Methods For Analysis of Two-Dimensional Gels Gorka Lasso and Rune Matthiesen Mass spectrometry in epigenetic research Hans Christian Beck Computational Approaches to Metabolomics David S. Wishart Algorithms and methods for correlating experimental results with annotation databases Michael Hackenberg and Rune Matthiesen Analysis of biological processes and diseases using text mining approaches Martin Krallinger, Florian Leitner and Alfonso Valencia
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