Genomics In The Cloud


Genomics In The Cloud
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Genomics In The Cloud


Genomics In The Cloud
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Author : Geraldine A. Van der Auwera
language : en
Publisher: O'Reilly Media
Release Date : 2020-04-02

Genomics In The Cloud written by Geraldine A. Van der Auwera and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Computers categories.


Data 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



Genomics In The Cloud


Genomics In The Cloud
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Author : Geraldine A. Van der Auwera
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-04-02

Genomics In The Cloud written by Geraldine A. Van der Auwera and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-02 with Science categories.


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



Genomics In The Cloud


Genomics In The Cloud
DOWNLOAD eBooks

Author : Geraldine Van der Auwera
language : en
Publisher:
Release Date : 2020

Genomics In The Cloud written by Geraldine Van der Auwera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


Data 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 52.4 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 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. Brian O'Connor of the UC Santa Cruz Genomics Institute and Geraldine Van der Auwera, longtime custodian of the GATK user community, guide you through the process. You'll learn by working with real data and genomics algorithms from the field. This book takes you through: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK Three major GATK best practices for variant discovery 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.



Genomics In The Aws Cloud


Genomics In The Aws Cloud
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Author : Catherine Vacher
language : en
Publisher: John Wiley & Sons
Release Date : 2023-04-19

Genomics In The Aws Cloud written by Catherine Vacher and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with Science categories.


Perform genome analysis and sequencing of data with Amazon Web Services Genomics in the AWS Cloud: Analyzing Genetic Code Using Amazon Web Services enables a person who has moderate familiarity with AWS Cloud to perform full genome analysis and research. Using the information in this book, you'll be able to take a FASTQ file containing raw data from a lab or a BAM file from a service provider and perform genome analysis on it. You'll also be able to identify potentially pathogenic gene sequences. Get an introduction to Whole Genome Sequencing (WGS) Make sense of WGS on AWS Master AWS services for genome analysis Some key advantages of using AWS for genomic analysis is to help researchers utilize a wide choice of compute services that can process diverse datasets in analysis pipelines. Genomic sequencers that generate raw data files are located in labs on premises and AWS provides solutions to make it easy for customers to transfer these files to AWS reliably and securely. Storing Genomics and Medical (e.g., imaging) data at different stages requires enormous storage in a cost-effective manner. Amazon Simple Storage Service (Amazon S3), Amazon Glacier, and Amazon Elastics Block Store (Amazon EBS) provide the necessary solutions to securely store, manage, and scale genomic file storage. Moreover, the storage services can interface with various compute services from AWS to process these files. Whether you're just getting started or have already been analyzing genomics data using the AWS Cloud, this book provides you with the information you need in order to use AWS services and features in the ways that will make the most sense for your genomic research.



Genomics In The Azure Cloud


Genomics In The Azure Cloud
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Author : Colby T. Ford
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-11-14

Genomics In The Azure Cloud written by Colby T. Ford and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-14 with Computers categories.


This practical guide bridges the gap between general cloud computing architecture in Microsoft Azure and scientific computing for bioinformatics and genomics. You'll get a solid understanding of the architecture patterns and services that are offered in Azure and how they might be used in your bioinformatics practice. You'll get code examples that you can reuse for your specific needs. And you'll get plenty of concrete examples to illustrate how a given service is used in a bioinformatics context. You'll also get valuable advice on how to: Use enterprise platform services to easily scale your bioinformatics workloads Organize, query, and analyze genomic data at scale Build a genomics data lake and accompanying data warehouse Use Azure Machine Learning to scale your model training, track model performance, and deploy winning models Orchestrate and automate processing pipelines using Azure Data Factory and Databricks Cloudify your organization's existing bioinformatics pipelines by moving your workflows to Azure high-performance compute services And more



Cloud Computing For Science And Engineering


Cloud Computing For Science And Engineering
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Author : Ian Foster
language : en
Publisher: MIT Press
Release Date : 2017-09-29

Cloud Computing For Science And Engineering written by Ian Foster and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Computers categories.


A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.



Genomics In The Azure Cloud


Genomics In The Azure Cloud
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Author : Colby T. Ford
language : en
Publisher:
Release Date : 2023-03-31

Genomics In The Azure Cloud written by Colby T. Ford and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with categories.




Next Steps For Functional Genomics


Next Steps For Functional Genomics
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2020-12-18

Next Steps For Functional Genomics written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with Science categories.


One of the holy grails in biology is the ability to predict functional characteristics from an organism's genetic sequence. Despite decades of research since the first sequencing of an organism in 1995, scientists still do not understand exactly how the information in genes is converted into an organism's phenotype, its physical characteristics. Functional genomics attempts to make use of the vast wealth of data from "-omics" screens and projects to describe gene and protein functions and interactions. A February 2020 workshop was held to determine research needs to advance the field of functional genomics over the next 10-20 years. Speakers and participants discussed goals, strategies, and technical needs to allow functional genomics to contribute to the advancement of basic knowledge and its applications that would benefit society. This publication summarizes the presentations and discussions from the workshop.



Cloud Computing


Cloud Computing
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Author : Jaydip Sen
language : en
Publisher: BoD – Books on Demand
Release Date : 2017-06-14

Cloud Computing written by Jaydip Sen and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-14 with Computers categories.


In the era of Internet of Things and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, it has now become mandatory to exploit the power of massively parallel architecture for fast computation. Cloud computing provides a cheap source of such computing framework for large volume of data for real-time applications. It is, therefore, not surprising to see that cloud computing has become a buzzword in the computing fraternity over the last decade. This book presents some critical applications in cloud frameworks along with some innovation design of algorithms and architecture for deployment in cloud environment. It is a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.



The Material Gene


The Material Gene
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Author : Kelly E. Happe
language : en
Publisher: NYU Press
Release Date : 2013-05-06

The Material Gene written by Kelly E. Happe and has been published by NYU Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-06 with Social Science categories.


Winner of the 2014 Diamond Anniversary Book Award Finalist for the 2014 National Communications Association Critical and Cultural Studies Division Book of the Year Award In 2000, the National Human Genome Research Institute announced the completion of a “draft” of the human genome, the sequence information of nearly all 3 billion base pairs of DNA. Since then, interest in the hereditary basis of disease has increased considerably. In The Material Gene, Kelly E. Happe considers the broad implications of this development by treating “heredity” as both a scientific and political concept. Beginning with the argument that eugenics was an ideological project that recast the problems of industrialization as pathologies of gender, race, and class, the book traces the legacy of this ideology in contemporary practices of genomics. Delving into the discrete and often obscure epistemologies and discursive practices of genomic scientists, Happe maps the ways in which the hereditarian body, one that is also normatively gendered and racialized, is the new site whereby economic injustice, environmental pollution, racism, and sexism are implicitly reinterpreted as pathologies of genes and by extension, the bodies they inhabit. Comparing genomic approaches to medicine and public health with discourses of epidemiology, social movements, and humanistic theories of the body and society, The Material Gene reworks our common assumption of what might count as effective, just, and socially transformative notions of health and disease.