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- Title: The Biostar Handbook
- Author(s) Dr. Istvan Albert
- Publisher: Biostar
- Paperback: N/A
- eBook: HTML, PDF, and ePub
- Language: English
- ISBN-10: N/A
- ISBN-13: 978-0-578-80435-4
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This practical book introduces readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data analytics dedicated to the digital processing of genomic information.
The contents of this book have provided the analytical foundation to thousands of students, many of whom have become full-time bioinformaticians and work at the most innovative companies in the world.
About the Author(s)- Dr. Istvan Albert is renowned for being at the forefront of the Bioinformatics frontier and pushing the field forward in new directions.
- Bioinformatics, Computational Biology, and Healthcare IT
- Data Analysis and Data Mining, Big Data
- Free and Open Source Software (FOSS)
- Data Storage and Management
- Database Systems
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Applied Bioinformatics (David A. Hendrix)
This book is designed to introduce students with little to no programming experience to the concepts and methodologies of bioinformatics, and contemporary software applications. It will deal with the analysis of nucleic acid sequence data.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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