Life Sciences on File

Life Sciences on File

Author: Diagram Group

Publisher: Facts on File

Published: 2004

Total Pages: 288

ISBN-13: 9780816053407

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Explores All the Essential Topics in Life Sciences An updated and expanded binder filled with reproducible loose-leaf pages


Data and Text Processing for Health and Life Sciences

Data and Text Processing for Health and Life Sciences

Author: Francisco M. Couto

Publisher: Springer

Published: 2019-06-10

Total Pages: 107

ISBN-13: 3030138453

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This open access book is a step-by-step introduction on how shell scripting can help solve many of the data processing tasks that Health and Life specialists face everyday with minimal software dependencies. The examples presented in the book show how simple command line tools can be used and combined to retrieve data and text from web resources, to filter and mine literature, and to explore the semantics encoded in biomedical ontologies. To store data this book relies on open standard text file formats, such as TSV, CSV, XML, and OWL, that can be open by any text editor or spreadsheet application. The first two chapters, Introduction and Resources, provide a brief introduction to the shell scripting and describe popular data resources in Health and Life Sciences. The third chapter, Data Retrieval, starts by introducing a common data processing task that involves multiple data resources. Then, this chapter explains how to automate each step of that task by introducing the required commands line tools one by one. The fourth chapter, Text Processing, shows how to filter and analyze text by using simple string matching techniques and regular expressions. The last chapter, Semantic Processing, shows how XPath queries and shell scripting is able to process complex data, such as the graphs used to specify ontologies. Besides being almost immutable for more than four decades and being available in most of our personal computers, shell scripting is relatively easy to learn by Health and Life specialists as a sequence of independent commands. Comprehending them is like conducting a new laboratory protocol by testing and understanding its procedural steps and variables, and combining their intermediate results. Thus, this book is particularly relevant to Health and Life specialists or students that want to easily learn how to process data and text, and which in return may facilitate and inspire them to acquire deeper bioinformatics skills in the future.


Dual Use Research of Concern in the Life Sciences

Dual Use Research of Concern in the Life Sciences

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-10-01

Total Pages: 115

ISBN-13: 0309458889

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The potential misuse of advances in life sciences research is raising concerns about national security threats. Dual Use Research of Concern in the Life Sciences: Current Issues and Controversies examines the U.S. strategy for reducing biosecurity risks in life sciences research and considers mechanisms that would allow researchers to manage the dissemination of the results of research while mitigating the potential for harm to national security.


Data Analysis for the Life Sciences with R

Data Analysis for the Life Sciences with R

Author: Rafael A. Irizarry

Publisher: CRC Press

Published: 2016-10-04

Total Pages: 537

ISBN-13: 1498775861

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This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.


Getting Published in the Life Sciences

Getting Published in the Life Sciences

Author: Richard J. Gladon

Publisher: John Wiley & Sons

Published: 2011-08-30

Total Pages: 370

ISBN-13: 1118017161

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The goal of this book is to make it easier for scientists, especially those new to scientific writing, to write about their results and to get their manuscripts accepted in peer-reviewed journals. The book covers each step throughout the submission process, from organizing and outlining the manuscript, presenting statistical data and results, to what happens during the in-house manuscript review process and what to do if an article is initially rejected. In addition to providing practical exercises on these topics, the book focuses on helping writers distil their research into concise take-home messages for readers, in order to convey information as clearly as possible to the target audience.


Understanding Metaphors in the Life Sciences

Understanding Metaphors in the Life Sciences

Author: Andrew S. Reynolds

Publisher: Cambridge University Press

Published: 2022-04-28

Total Pages: 223

ISBN-13: 110883728X

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Introduces the diverse roles metaphors play in the life sciences and highlights their significance for theory, communication, and education.


Scanning Electron Microscopy for the Life Sciences

Scanning Electron Microscopy for the Life Sciences

Author: Heide Schatten

Publisher: Cambridge University Press

Published: 2013

Total Pages: 275

ISBN-13: 0521195993

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A guide to modern scanning electron microscopy instrumentation, methodology and techniques, highlighting novel applications to cell and molecular biology.


Deep Learning for the Life Sciences

Deep Learning for the Life Sciences

Author: Bharath Ramsundar

Publisher: O'Reilly Media

Published: 2019-04-10

Total Pages: 236

ISBN-13: 1492039802

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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 science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working


Globalization, Biosecurity, and the Future of the Life Sciences

Globalization, Biosecurity, and the Future of the Life Sciences

Author: National Research Council

Publisher: National Academies Press

Published: 2006-06-07

Total Pages: 316

ISBN-13: 0309164753

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Biomedical advances have made it possible to identify and manipulate features of living organisms in useful ways-leading to improvements in public health, agriculture, and other areas. The globalization of scientific and technical expertise also means that many scientists and other individuals around the world are generating breakthroughs in the life sciences and related technologies. The risks posed by bioterrorism and the proliferation of biological weapons capabilities have increased concern about how the rapid advances in genetic engineering and biotechnology could enable the production of biological weapons with unique and unpredictable characteristics. Globalization, Biosecurity, and the Future of Life Sciences examines current trends and future objectives of research in public health, life sciences, and biomedical science that contain applications relevant to developments in biological weapons 5 to 10 years into the future and ways to anticipate, identify, and mitigate these dangers.