Genomics In The Aws Cloud

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Genomics in the AWS Cloud

Author : Catherine Vacher
Publisher : John Wiley & Sons
ISBN 13 : 1119573408
Total Pages : 360 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Genomics in the AWS Cloud by : Catherine Vacher

Download or read book Genomics in the AWS Cloud written by Catherine Vacher and published by John Wiley & Sons. This book was released on 2023-04-19 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 AWS Cloud

Author : Catherine Vacher
Publisher : John Wiley & Sons
ISBN 13 : 1119573408
Total Pages : 360 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Genomics in the AWS Cloud by : Catherine Vacher

AWS Cloud Engineer Guide

Author : Sizwe Molefe
Publisher : BPB Publications
ISBN 13 : 9365899753
Total Pages : 396 pages
Book Rating : 4.3/5 (658 download)

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Book Synopsis AWS Cloud Engineer Guide by : Sizwe Molefe

Download or read book AWS Cloud Engineer Guide written by Sizwe Molefe and published by BPB Publications. This book was released on 2024-09-27 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Cloud computing provides a more efficient, reliable, secure, and cost-effective way to run applications. Cloud computing offers customers access to rapidly growing amounts of data storage and computation resources while centralizing IT operations in the cloud provider's datacenter or in colocation data centers. Understand AWS basics such as EC2, VPCs, S3, and IAM while learning to design secure and scalable cloud architectures. This book guides you through automating infrastructure with CloudFormation and exploring advanced topics like containers, continuous integration and continuous delivery (CI/CD) pipelines, and cloud migration. You will also discover serverless computing with Lambda, API Gateway, and DynamoDB, enabling you to build efficient, modern applications. With real-world examples and best practices, this resource helps you optimize your AWS environment for both performance and cost, ensuring you can build and maintain robust cloud solutions. By the end of this book, you will be able to confidently design, build, and operate scalable and secure cloud solutions on AWS. Gain the expertise to leverage the full potential of cloud computing and drive innovation in your organization. KEY FEATURES ● Learn about AWS cloud in-depth with real-world examples and scenarios. ● Expand your understanding of serverless and containerization compute technology on AWS. ● Explore API’s along with API Gateway and its different use cases. WHAT YOU WILL LEARN ● How to get started with and launch EC2 instances. ● Working with and simplifying VPC’s, security groups, and network access control lists on AWS. ● Learn how to secure your AWS environment through the use of IAM roles and policies. ● Learn how to build scalable and fault-tolerant database systems using AWS database services such as RDS and Aurora. ● Learn how to set up a CI/CD pipeline on AWS. WHO THIS BOOK IS FOR Whether you are a system administrator, cloud architect, solutions architect, cloud engineer, DevOps engineer, security engineer, or cloud professional, this book provides valuable insights and practical guidance to help you build and operate robust cloud solutions on AWS. TABLE OF CONTENTS 1. Creating an AWS Environment 2. Amazon Elastic Compute Cloud 3. Amazon Virtual Private Cloud 4. Amazon S3: Simple Storage Service 5. Amazon API Gateway 6. AWS Database Services 7. Elastic Load Balancing and Auto Scaling 8. Amazon Route 53 9. Decouple Applications 10. CloudFormation 11. AWS Monitoring 12. AWS Security and Encryption 13. AWS Containers 14. Automating Deployments with CI/CD in AWS 15. AWS Cloud Migrations

Bioinformatics and Human Genomics Research

Author : Diego A. Forero
Publisher : CRC Press
ISBN 13 : 1000405672
Total Pages : 374 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Bioinformatics and Human Genomics Research by : Diego A. Forero

Download or read book Bioinformatics and Human Genomics Research written by Diego A. Forero and published by CRC Press. This book was released on 2021-12-22 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the analysis of these genomic studies. The book Bioinformatics and Human Genomics Research provides updated and comprehensive information about multiple approaches of the application of bioinformatic tools to research in human genomics. It covers strategies analysis of genome-wide association studies, genome-wide expression studies and genome-wide DNA methylation, among other topics. It provides interesting strategies for data mining in human genomics, network analysis, prediction of binding sites for miRNAs and transcription factors, among other themes. Experts from all around the world in bioinformatics and human genomics have contributed chapters in this book. Readers will find this book as quite useful for their in silico explorations, which would contribute to a better and deeper understanding of multiple biological processes and of pathophysiology of many human diseases.

Applied Machine Learning and High-Performance Computing on AWS

Author : Mani Khanuja
Publisher : Packt Publishing Ltd
ISBN 13 : 1803244445
Total Pages : 382 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Applied Machine Learning and High-Performance Computing on AWS by : Mani Khanuja

Download or read book Applied Machine Learning and High-Performance Computing on AWS written by Mani Khanuja and published by Packt Publishing Ltd. This book was released on 2022-12-30 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMaker Key FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures for implementing ML at scale using HPCBook Description Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles. This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you'll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases. By the end of this book, you'll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle. What you will learnExplore data management, storage, and fast networking for HPC applicationsFocus on the analysis and visualization of a large volume of data using SparkTrain visual transformer models using SageMaker distributed trainingDeploy and manage ML models at scale on the cloud and at the edgeGet to grips with performance optimization of ML models for low latency workloadsApply HPC to industry domains such as CFD, genomics, AV, and optimizationWho this book is for The book begins with HPC concepts, however, it expects you to have prior machine learning knowledge. This book is for ML engineers and data scientists interested in learning advanced topics on using large datasets for training large models using distributed training concepts on AWS, deploying models at scale, and performance optimization for low latency use cases. Practitioners in fields such as numerical optimization, computation fluid dynamics, autonomous vehicles, and genomics, who require HPC for applying ML models to applications at scale will also find the book useful.

Public-Private Partnerships as Drivers of Innovation in Healthcare, 2nd Edition

Author : Hilde Stevens
Publisher : Frontiers Media SA
ISBN 13 : 2889639452
Total Pages : 107 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Public-Private Partnerships as Drivers of Innovation in Healthcare, 2nd Edition by : Hilde Stevens

Download or read book Public-Private Partnerships as Drivers of Innovation in Healthcare, 2nd Edition written by Hilde Stevens and published by Frontiers Media SA. This book was released on 2020-08-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-stakeholder collaborations involving partners from public and private sectors are essential to address global health challenges and to move precision medicine forward. This eBook assembles a collection of papers which either illustrate recent achievements or discuss new perspectives offered by public-private partnerships in healthcare. Publisher’s note: In this 2nd edition, the following article has been added: Laverty H and Meulien P (2019) The Innovative Medicines Initiative −10 Years of Public-Private Collaboration. Front. Med. 6:275. doi: 10.3389/fmed.2019.00275

Genomics in the Cloud

Author : Geraldine A. Van der Auwera
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491975148
Total Pages : 570 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Genomics in the Cloud by : Geraldine A. Van der Auwera

Download or read book Genomics in the Cloud written by Geraldine A. Van der Auwera and published by "O'Reilly Media, Inc.". This book was released on 2020-04-02 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Geraldine A. Van der Auwera
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491975148
Total Pages : 570 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Genomics in the Cloud by : Geraldine A. Van der Auwera

Artificial Intelligence and Machine Learning in Drug Design and Development

Author : Abhirup Khanna
Publisher : John Wiley & Sons
ISBN 13 : 1394234171
Total Pages : 737 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Drug Design and Development by : Abhirup Khanna

Download or read book Artificial Intelligence and Machine Learning in Drug Design and Development written by Abhirup Khanna and published by John Wiley & Sons. This book was released on 2024-06-21 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

AWS Certified Cloud Solutions Architect

Author : Cybellium
Publisher : Cybellium
ISBN 13 : 1836798903
Total Pages : 257 pages
Book Rating : 4.8/5 (367 download)

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Book Synopsis AWS Certified Cloud Solutions Architect by : Cybellium

Download or read book AWS Certified Cloud Solutions Architect written by Cybellium and published by Cybellium . This book was released on 2024-09-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Cloud Computing

Author : Jaydip Sen
Publisher : BoD – Books on Demand
ISBN 13 : 9535132431
Total Pages : 142 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Cloud Computing by : Jaydip Sen

Download or read book Cloud Computing written by Jaydip Sen and published by BoD – Books on Demand. This book was released on 2017-06-14 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction To Computational Metagenomics

Author : Zhong Wang
Publisher : World Scientific
ISBN 13 : 9811242488
Total Pages : 210 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Introduction To Computational Metagenomics by : Zhong Wang

Download or read book Introduction To Computational Metagenomics written by Zhong Wang and published by World Scientific. This book was released on 2022-04-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breakthroughs in high-throughput genome sequencing and high-performance computing technologies have empowered scientists to decode many genomes including our own. Now they have a bigger ambition: to fully understand the vast diversity of microbial communities within us and around us, and to exploit their potential for the improvement of our health and environment. In this new field called metagenomics, microbial genomes are sequenced directly from the habitats without lab cultivation. Computational metagenomics, however, faces both a data challenge that deals with tens of tera-bases of sequences and an algorithmic one that deals with the complexity of thousands of species and their interactions.This interdisciplinary book is essential reading for those who are interested in beginning their own journey in computational metagenomics. It is a prism to look through various intricate computational metagenomics problems and unravel their three distinctive aspects: metagenomics, data engineering, and algorithms. Graduate students and advanced undergraduates from genomics science or computer science fields will find that the concepts explained in this book can serve as stepping stones for more advanced topics, while metagenomics practitioners and researchers from similar disciplines may use it to broaden their knowledge or identify new research targets.

Deep Learning for Genomics

Author : Upendra Kumar Devisetty
Publisher : Packt Publishing Ltd
ISBN 13 : 1804613010
Total Pages : 270 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Deep Learning for Genomics by : Upendra Kumar Devisetty

Download or read book Deep Learning for Genomics written by Upendra Kumar Devisetty and published by Packt Publishing Ltd. This book was released on 2022-11-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn concepts, methodologies, and applications of deep learning for building predictive models from complex genomics data sets to overcome challenges in the life sciences and biotechnology industries Key FeaturesApply deep learning algorithms to solve real-world problems in the field of genomicsExtract biological insights from deep learning models built from genomic datasetsTrain, tune, evaluate, deploy, and monitor deep learning models for enabling predictions in genomicsBook Description Deep learning has shown remarkable promise in the field of genomics; however, there is a lack of a skilled deep learning workforce in this discipline. This book will help researchers and data scientists to stand out from the rest of the crowd and solve real-world problems in genomics by developing the necessary skill set. Starting with an introduction to the essential concepts, this book highlights the power of deep learning in handling big data in genomics. First, you'll learn about conventional genomics analysis, then transition to state-of-the-art machine learning-based genomics applications, and finally dive into deep learning approaches for genomics. The book covers all of the important deep learning algorithms commonly used by the research community and goes into the details of what they are, how they work, and their practical applications in genomics. The book dedicates an entire section to operationalizing deep learning models, which will provide the necessary hands-on tutorials for researchers and any deep learning practitioners to build, tune, interpret, deploy, evaluate, and monitor deep learning models from genomics big data sets. By the end of this book, you'll have learned about the challenges, best practices, and pitfalls of deep learning for genomics. What you will learnDiscover the machine learning applications for genomicsExplore deep learning concepts and methodologies for genomics applicationsUnderstand supervised deep learning algorithms for genomics applicationsGet to grips with unsupervised deep learning with autoencodersImprove deep learning models using generative modelsOperationalize deep learning models from genomics datasetsVisualize and interpret deep learning modelsUnderstand deep learning challenges, pitfalls, and best practicesWho this book is for This deep learning book is for machine learning engineers, data scientists, and academicians practicing in the field of genomics. It assumes that readers have intermediate Python programming knowledge, basic knowledge of Python libraries such as NumPy and Pandas to manipulate and parse data, Matplotlib, and Seaborn for visualizing data, along with a base in genomics and genomic analysis concepts.

AWS Cloud Automation

Author : Oluyemi James Odeyinka
Publisher : BPB Publications
ISBN 13 : 9355516533
Total Pages : 419 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis AWS Cloud Automation by : Oluyemi James Odeyinka

Download or read book AWS Cloud Automation written by Oluyemi James Odeyinka and published by BPB Publications. This book was released on 2024-01-20 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to automate AWS Cloud using Terraform IaC best practices KEY FEATURES ● Learn how to create and deploy AWS Cloud Resources using Terraform IaC. ● Manage large and complex AWS infrastructures. ● Manage diverse storage options like S3 and EBS for optimal performance and cost-efficiency. DESCRIPTION AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. This book will empower readers of AWS Cloud Automation to embrace a modern, scalable, and efficient approach to managing cloud infrastructure. By combining the power of Terraform with the flexibility of AWS. WHAT YOU WILL LEARN ● Implement automated workflows with Terraform in CI/CD pipelines, for consistent and reliable deployments. ● Secure your cloud environment with robust Identity and Access Management (IAM) policies. ● Build and deploy highly available and scalable applications using EC2, VPC, and ELB. ● Automate database deployments and backups with RDS and DynamoDB for worry-free data management. ● Implement serverless architectures with EKS and Fargate for agile and cost-effective development. WHO THIS BOOK IS FOR This book is crafted for both aspiring and seasoned infrastructure enthusiasts, cloud architects, solution architects , SysOps Administrators, and DevOps professionals ready to apply the power of Terraform as their AWS go-to Infrastructure as Code (IaC) tool. TABLE OF CONTENTS 1. AWS DevOps and Automation Tools Set 2. AWS Terraform Setup 3. IAM, Governance and Policies Administration 4. Automating AWS Storage Deployment and Configuration 5. VPC and Network Security Tools Automation 6. Automating EC2 Deployment of various Workloads 7. Automating ELB Deployment and Configurations 8. AWS Route53 Policy and Routing Automation 9. AWS EKS and Fargate Deployments 10. Databases and Backup Services Automation 11. Automating and Bootstrapping Monitoring Service

Plant Genetics and Molecular Biology

Author : Rajeev K. Varshney
Publisher : Springer
ISBN 13 : 3319913131
Total Pages : 306 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Plant Genetics and Molecular Biology by : Rajeev K. Varshney

Download or read book Plant Genetics and Molecular Biology written by Rajeev K. Varshney and published by Springer. This book was released on 2018-09-04 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the latest advances in multiple fields of plant biotechnology and the opportunities that plant genetics, genomics and molecular biology have offered for agriculture improvement. Advanced technologies can dramatically enhance our capacity in understanding the molecular basis of traits and utilizing the available resources for accelerated development of high yielding, nutritious, input-use efficient and climate-smart crop varieties. In this book, readers will discover the significant advances in plant genetics, structural and functional genomics, trait and gene discovery, transcriptomics, proteomics, metabolomics, epigenomics, nanotechnology and analytical & decision support tools in breeding. This book appeals to researchers, academics and other stakeholders of global agriculture.

Genomics in the Azure Cloud

Author : Colby T. Ford
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098139011
Total Pages : 330 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Genomics in the Azure Cloud by : Colby T. Ford

Download or read book Genomics in the Azure Cloud written by Colby T. Ford and published by "O'Reilly Media, Inc.". This book was released on 2022-11-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Predictive Computing and Information Security

Author : P.K. Gupta
Publisher : Springer
ISBN 13 : 9811051070
Total Pages : 175 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Predictive Computing and Information Security by : P.K. Gupta

Download or read book Predictive Computing and Information Security written by P.K. Gupta and published by Springer. This book was released on 2017-09-27 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various methods and recent advances in predictive computing and information security. It highlights various predictive application scenarios to discuss these breakthroughs in real-world settings. Further, it addresses state-of-art techniques and the design, development and innovative use of technologies for enhancing predictive computing and information security. Coverage also includes the frameworks for eTransportation and eHealth, security techniques, and algorithms for predictive computing and information security based on Internet-of-Things and Cloud computing. As such, the book offers a valuable resource for graduate students and researchers interested in exploring predictive modeling techniques and architectures to solve information security, privacy and protection issues in future communication.