Computational Exome and Genome Analysis
- Series: Chapman & Hall/CRC Mathematical and Computational Biology
- Hardcover: 576 pages
- Language: English
- ISBN-10: 1498775985
- ISBN-13: 978-1498775984
Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of the major areas in the field, Readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline.
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[size=1.23em]Review
"It book represents a timely contribution to the burgeoning field of exome and genome sequencing data analysis. It covers all pertinent topics ranging from raw data quality control to medical interpretation of genetic mutations, with detailed command line examples as well as in-depth explanations on Every step of analysis. Highly recommended to any researchers, scientists, clinicians or students who are interested to learn practical skills on genome analysis."
― Kai Wang , Department of Biomedical Informatics, Columbia University
"This book provides a very comprehensive overview of all the fundamentals that are needed to work as a bioinformatician in the field of exome and genome analysis. All of the important processing steps are illustrated with practical examples and code. In addition, the casual writing style Make this book an easy read."
― Christian Gilissen, Department of Human Genetics, Radbound Univeristy Medical Center
About The Author
Peter Robinson is Professor for Medical Genomics at the Charité Universitätsmedizin Berlin, and Professor for Bioinformatics at the Free University of Berlin. He studied Mathematics and Computer Science at Columbia University as well as Medicine at the University of Pennsylvania. Peter has led a bioinformatics research group Since 2004. He has led the development of the Human Phenotype Ontology, which is used internationally to describe the clinical manifestations of patients with genetic disorders and to empower exome and genome analysis. His group has published algorithms for exome, genome, ChIP-seq and NGS T Cell Receptor profiling.
Rosario M. Piro is an Assistant Professor of Bioinformatics at Freie Universität Berlin and Charité-Universitätsmedizin Berlin, Germany. His research is primarily focused on computational neuropathology, including cancer genetics/genomics of brain tumors as well as network analysis and disease gene prediction for neurological The knowledge and computational oncology in general, including the development and evolution of cancers in other organs or tissues. His expertise in next-generation sequencing data analysis techniques is complemented by a past research experience in the field of data-intensive distributed computing.
Marten Jäger is a graduate student in Peter Robinson's group and has developed pipelines for exome and genome sequencing data. Marten's work has involved the development of algorithms for variant annotation, exome prioritization, RNA-seq, and integrative genomics analysis.