Genomics Analysis with Spark, Docker, and Clouds: A Guide to Big Data Tools for Genomics Research
| Author | : | |
| Rating | : | 4.83 (557 Votes) |
| Asin | : | 1491975199 |
| Format Type | : | paperback |
| Number of Pages | : | 300 Pages |
| Publish Date | : | 2014-02-16 |
| Language | : | English |
DESCRIPTION:
There he focuses on the development and deployment of large-scale, cloud-based systems for analyzing genomics data. Brian recently joined UCSC from the Ontario Institute for Cancer Research (OICR) where his previous projects included leading the technical implementation of cloud-based analysis systems for the PanCancer Analysis of Whole Genomes (PCAWG) effort, the creation of the Dockstore project (dockstore), and the development of the International Cancer Genome Consortium’s Data Portal (dcc.icgc).. About the AuthorDr. He is also the co-chair of the Containers and Workflows task team of the Global Alliance for Genomics and Health (GA4GH) where he works on tool and work
With this book, you’ll learn how to combine algorithms designed for genomics with the leading tool for big data—Spark—and the ascendant paradigm of working in the cloud with Docker.. This practical guide provides the guidance these researchers need. Genomics researchers today are faced with an ever-increasing amount of data to analyze, and yet they have a difficult time leveraging modern frameworks and technologies (like Spark and cloud infrastructure) to efficiently and accurately analyze their data
Brian recently joined UCSC from the Ontario Institute for Cancer Research (OICR) where his previous projects included leading the technical implementation of cloud-based analysis systems for the PanCancer Analysis of Whole Genomes (PCAWG) effort, the creation of the Dockstore project (dockstore), and the development of the International Cancer Genome Consortium’s Data Portal (dcc.icgc).. Dr. This includes the