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Deep Learning for Genomics
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...
Emerging Technologies Of The 21st Century
Ex. Consultant (Statistics), College of Fisheries, Central Agricultural University, Lembucherra Tripura West, Ex. Computer Specialist, SAARC Agricultural Information Centre, Dhaka, Bangladesh, Ex Pr. Head, Social Science, CIFA, ICAR, Bhubaneswar, Ex Co-ordinator, Bioinformatics Centre, CIFA, ICAR, Bhubaneswar, All the 42 book s constitute the following focus areas like Biotechnology, Bioinformatics, Nanotechnology, Expert System Neural Network, Applied Technologies, Database, Modeling, Analytics and Business Intelligence Software, IPR & Social Issues. s on Emerging digital technologies, Information and communication Technology Tools, skill and technologies for 21st century Education, Big dat...
Genomics in the Cloud
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 Ge...
Deep Learning for the Life Sciences
Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of...
Introduction to Genomics
Introduction to Genomics is a fascinating insight into what can be revealed from the study of genomics: how organisms differ or match; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genomics means in terms of our future health and wellbeing. Covering the latest techniques that enable us to study the genome in ever-increasing detail, the book explores what the genome tells us about life at the level of the molecule, the cell, and the organism. Learning features throughout make this book the ideal teaching and learning tool: extensive end of chapter exercises and problems help the student to fully grasp the concepts being presented, while end of chapter WebLems (web-based problems) and lab assignments give the student the opportunity to engage with the subject in a hands-on manner.
R Bioinformatics Cookbook
Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key FeaturesApply modern R packages to handle biological data using real-world examplesRepresent biological data with advanced visualizations suitable for research and publicationsHandle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analysesBook Description Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R Bioinformatics Cookbook, you’ll explore all this and more, tackling ...
Pills, Teas, and Songs
According to the Pew Research Center, half of the general American public has tried alternative medicine. Nguyen dares to ask, how often do people do so without understanding the culture where those medicines originated? Pills, Teas, and Songs: Stories of Medicine around the World is a collection of stories to deepen respect, inspire understanding, and spark curiosity. This book is dedicated to educating readers who are interested in incorporating different medicinal systems into their lives and to preserve the evolving legacy of healthcare. This book delves into... What cultural appropriation looks like in healthcare and wellness If Eastern and Western medicine are truly opposites Why immigrants and diasporic populations favor traditional medicine and heritage products The history behind Black midwifery in the US And much more Told through colorful stories of history and culture, Pills, Teas, and Songs: Stories of Medicine around the World is a timely reminder that, despite our differences, the human race has much more in common than we realize.
Python Programming for Biology
This book introduces Python as a powerful tool for the investigation of problems in computational biology, for novices and experienced programmers alike.
