Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Applied Bioinformatics
Install LinkBasket to replace ALL of your new apps!
  • Title Applied Bioinformatics
  • Author(s) David A. Hendrix
  • Publisher: Oregon State University (2019); eBook (Creative Commons Licensed)
  • License(s): CC BY 4.0
  • Hardcover: N/A
  • eBook: HTML, PDF, ePub, Mobi, etc.
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
  • Share This:  

Book Description

This book is packed with valuable information that introduces you to this exciting Bioinformatics.

The tremendous growth of bioinformatics and computational biology in the late 20th and early 21st centuries has had an associated growth in software and algorithms for studying biological sequences.

This book is designed to introduce students of the life sciences with little to no programming experience to the concepts and methodologies of bioinformatics, and contemporary software applications. The majority of this course will deal with the analysis of nucleic acid sequence data. Many of these applications have web interfaces, but where possible command line software, and strategies for dealing with sequence data with the GNU/Linux command line interface (the terminal), will be used.

We won't be content to simply run commands blindly, but rather we will also learn a great deal of the equations and theory behind these methods. In addition, these notes will provide an introduction to Biopython as a tool for bioinformatics and as a framework to connect all the concepts presented.

About the Authors
  • David Hendrix is an Associate Professor at Oregon State University
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Bioinformatics Data Skills (Vince Buffalo)

    This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. It demsonstrates the practice of bioinformatics through data skills.

  • A Primer for Computational Biology (Shawn T. O'Neil)

    This textbook is for anyone who needs to learn the basics of bioinformatics - the use of computational methods to better understand biological systems. It aims to provide the skills necessary for research in a data-rich world.

  • Biopython Tutorial and Cookbook (Jeff Chang, et al)

    Biopython is a set of freely available tools for biological computation written in Python. This book provides information to get you started with Biopython, in addition to specific documentation on a number of modules.

  • Large Scale Data Handling in Biology (Karol Kozak)

    The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs.

  • Unix and Perl Primer for Biologists (Keith Bradnam, et al)

    This is a basic introductory course for biologists to learn the essential aspects of the Perl programming language. It is aimed at people with no prior experience in either programming or Unix.

  • Biological Signal Analysis with MATLAB (R. Palaniappan)

    This book will provide the reader with an understanding of biological signals and digital signal analysis techniques such as conditioning, filtering, classification and statistical validation for solving practical biological signal analysis problems using MATLAB.

  • Data Mining in Medical and Biological Research

    This book intends to bring together the most recent advances and applications of data mining research in the promising areas of medicine and biology from around the world. It has twelve chapters related to medical research and five focused on the biological domain.

  • Introduction to Programming for Medical Image Analysis with VTK

    Provide sufficient introductory material for engineering graduate students with background in programming in C and C++ to acquire the skills to leverage modern open source toolkits in medical image analysis and visualization.

  • Data Mining Applications in Engineering and Medicine

    This book targets to help data miners who wish to apply different data mining techniques, including statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, etc.

Book Categories
:
Other Categories
Resources and Links