000			01973nam a22002177a 4500
008			220816b2020 |||||||| |||| 00| 0 eng d
020			_a9789352139934
082			_a004.6782 AUW-G
100			_aAuwera, Geraldine A. van der
245			_aGenomics in the cloud : using docker, GATK, and WDL in terra / _cGeraldine A. Van der Auwera and Brian D. O'Connor
260			_aBeijing _bO'Reilly and SPD _c2020
300			_a467 p.
365			_aINR _b1750.00
500			_aData in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra.
650			_aGenomics
650			_aCloud computing
650			_aGenomics--Data processing
650			_aBig data
650			_aSPARK (Electronic resource)
700			_aO'Connor, Brian D.
999			_c79993 _d79993