COMPUTATIONAL EXOME AND GENOME ANALYSIS - ROBINSON
Language: English
Published by Chapman and Hall/CRC, 2017
Series: Book 8 of 50 - Chapman & Hall/CRC Computational Biology Series
- Hardcover
- New
Seller: Biblios, frankfurt am main, hessen, GermanyBiblios
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£ 195.06
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- Title
- COMPUTATIONAL EXOME AND GENOME ANALYSIS - ROBINSON
- Author
- Robinson, Peter N.; Piro, Rosario Michael; Jager, Marten
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2017
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1498775985
- ISBN 13
- 9781498775984
- Series
- Book 8 of 50: Chapman & Hall/CRC Computational Biology Series
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, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline.
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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 mainly focused on computational neuropathology, including cancer genetics/genomics of brain tumors as well as network analysis and disease gene prediction for neurological disorders; 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.
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Biblios
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