Compartir
Genomics in the Cloud: Using Docker, Gatk, and wdl in Terra (en Inglés)
Brian O'Connor
(Autor)
·
Geraldine Van Der Auwera
(Autor)
·
O'Reilly Media
· Tapa Blanda
Genomics in the Cloud: Using Docker, Gatk, and wdl in Terra (en Inglés) - Van Der Auwera, Geraldine ; O'Connor, Brian
S/ 270,96
S/ 541,93
Ahorras: S/ 270,96
Elige la lista en la que quieres agregar tu producto o crea una nueva lista
✓ Producto agregado correctamente a la lista de deseos.
Ir a Mis Listas
Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Lunes 15 de Julio y el
Lunes 29 de Julio.
Lo recibirás en cualquier lugar de Perú entre 2 y 5 días hábiles luego del envío.
Reseña del libro "Genomics in the Cloud: Using Docker, Gatk, and wdl in Terra (en Inglés)"
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytesâ or over 50 million gigabytesâ of genomic data, and theyâ 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 Oâ Connor of the UC Santa Cruz Genomics Institute, guide you through the process. Youâ 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
