Genomics in the Cloud: Using Docker, GATK, and WDL in Terra
Авторы: Geraldine A. Van der Auwera, Brian D. O'Connor (2021)
This book captures the essence of what’s been learned about bringing genomics to the cloud. And it lays out an accessible path for newcomers to join this exciting and important ecosystem.
Eric S. Lander, Founding Director, The Broad Institute of MIT and Harvard
This book is a fantastic introduction to modern genome analysis using state-of-the-art tools and practices. It covers everything a reader needs to get their own analyses running in an open, repeatable way. This is the quintessential primer on the GATK and cloud-based analysis with Terra.
Jonathan Smith, Principal Software Engineer, The Broad Institute of MIT and Harvard
This is a great primer about reproducible bioinformatics in the cloud. Geraldine and Brian are at the forefront of this field, so we are learning from the best. And for those who have yet to work with Terra, look no further for an excellent introduction to it!
Jessica Maia, Data Scientist, BD
Transferring from physics to cancer research as I did, I learned genomics, sequencing, statistics piecemeal. I could have used a book like this back then, because no matter how much time you’ve spent in the field or if it’s your first contact, there’s something new to learn and an appreciation for the bigger picture to be gained.
Aaron Chevalier, PhD Candidate, Boston University
Genomics in the Cloud covers everything from the science of genomic analysis to the computing technologies used to process this data at massive scale; presented in a way that lets you jump right in and run the same tools in the cloud that are used by biologists, researchers, and clinicians worldwide.
Andrew Moschetti, Senior Solutions Architect, Google Cloud Life Sciences
As the volume of genomic data increases, implementing analysis using best practice cloud patterns becomes more and more important. In this book, you’ll learn these patterns via practical examples that you can try out using your own data and research questions.
Lynn Langit, Cloud Architect, Google Developer Expert and AWS Community Hero
Genomics in the Cloud is an excellent introduction both to genomics and cloud-based research, perfect for those who wish to capitalize on the cloud environment to move their research forward and for those who wish to better understand this space.
David E. Mohs, Software Engineer, The Broad Institute of MIT and Harvard
Авторы: Geraldine A. Van der Auwera, Brian D. O'Connor (2021)
This book captures the essence of what’s been learned about bringing genomics to the cloud. And it lays out an accessible path for newcomers to join this exciting and important ecosystem.
Eric S. Lander, Founding Director, The Broad Institute of MIT and Harvard
This book is a fantastic introduction to modern genome analysis using state-of-the-art tools and practices. It covers everything a reader needs to get their own analyses running in an open, repeatable way. This is the quintessential primer on the GATK and cloud-based analysis with Terra.
Jonathan Smith, Principal Software Engineer, The Broad Institute of MIT and Harvard
This is a great primer about reproducible bioinformatics in the cloud. Geraldine and Brian are at the forefront of this field, so we are learning from the best. And for those who have yet to work with Terra, look no further for an excellent introduction to it!
Jessica Maia, Data Scientist, BD
Transferring from physics to cancer research as I did, I learned genomics, sequencing, statistics piecemeal. I could have used a book like this back then, because no matter how much time you’ve spent in the field or if it’s your first contact, there’s something new to learn and an appreciation for the bigger picture to be gained.
Aaron Chevalier, PhD Candidate, Boston University
Genomics in the Cloud covers everything from the science of genomic analysis to the computing technologies used to process this data at massive scale; presented in a way that lets you jump right in and run the same tools in the cloud that are used by biologists, researchers, and clinicians worldwide.
Andrew Moschetti, Senior Solutions Architect, Google Cloud Life Sciences
As the volume of genomic data increases, implementing analysis using best practice cloud patterns becomes more and more important. In this book, you’ll learn these patterns via practical examples that you can try out using your own data and research questions.
Lynn Langit, Cloud Architect, Google Developer Expert and AWS Community Hero
Genomics in the Cloud is an excellent introduction both to genomics and cloud-based research, perfect for those who wish to capitalize on the cloud environment to move their research forward and for those who wish to better understand this space.
David E. Mohs, Software Engineer, The Broad Institute of MIT and Harvard