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Collaborative Genomics Projects: A Comprehensive Guide
This book on collaborative genomics projects guides the reader through methods in patient sample acquisition, the establishment of data generation and analysis pipelines, data storage and dissemination, quality control, auditing, and reporting, all in an effort to help users manage large-scale collaborative genomics research projects
Margi Sheth (Author), Julia Zhang (Author), Jean C Zenklusen (Author)
9780128021439, Elsevier Science
Paperback, published 18 February 2016
142 pages, 30
23.4 x 19 x 1.1 cm, 0.32 kg
Collaborative Genomics Projects: A Comprehensive Guide contains operational procedures, policy considerations, and the many lessons learned by The Cancer Genome Atlas Project. This book guides the reader through methods in patient sample acquisition, the establishment of data generation and analysis pipelines, data storage and dissemination, quality control, auditing, and reporting. This book is essential for those looking to set up or collaborate within a large-scale genomics research project. All authors are contributors to The Cancer Genome Atlas (TCGA) Program, a NIH- funded effort to generate a comprehensive catalog of genomic alterations in more than 35 cancer types. As the cost of genomic sequencing is decreasing, more and more researchers are leveraging genomic data to inform the biology of disease. The amount of genomic data generated is growing exponentially, and protocols need to be established for the long-term storage, dissemination, and regulation of this data for research. The book's authors create a complete handbook on the management of research projects involving genomic data as learned through the evolution of the TCGA program, a project that was primarily carried out in the US, but whose impact and lessons learned can be applied to international audiences.
1. Introduction2. Scope, applicability, and implementation of this guide3. Communication considerations4. Gather project requirements5. Sample acquisition6. Data generation 7. Data storage and dissemination8. Data analysis efforts9. QC, auditing and reporting10. Project closure11. Policy considerations12. ConclusionsReferencesAppendicesA. Glossary of terms and acronymsB. Tables, charts, other data
Subject Areas: Molecular biology [PSD], DNA & Genome [PSAK1], Genetics [non-medical PSAK], Medical genetics [MFN]
