Understanding Bioinformatics

Understanding Bioinformatics  eBooks & eLearning

Posted by roxul at Sept. 23, 2016
Understanding Bioinformatics

Marketa J Zvelebil, Jeremy O. Baum, "Understanding Bioinformatics"
English | ISBN: 0815340249 | 2008 | 798 pages | PDF | 20 MB

Algorithms in Bioinformatics  eBooks & eLearning

Posted by AlenMiler at Aug. 11, 2016
Algorithms in Bioinformatics

Algorithms in Bioinformatics: 16th International Workshop, WABI 2016, Aarhus, Denmark, August 22-24, 2016. Proceedings (Lecture Notes in Computer Science) by Martin C. Frith
English | 30 Aug. 2016 | ISBN: 3319436805 | 342 Pages | EPUB (True) | 5.44 MB

This book constitutes the refereed proceedings of the 16th International Workshop on Algorithms in Bioinformatics, WABI 2016, held in Aarhus, Denmark.
Structural Bioinformatics (Methods of Biochemical Analysis) [Repost]

Structural Bioinformatics (Methods of Biochemical Analysis) by Philip E. Bourne
English | 11 Mar. 2003 | ISBN: 0471202002, 0471201995 | 650 Pages | PDF | 17.6 MB

This book provides a basic understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics. The reader emerges with the ability to make effective use of protein, DNA, RNA, carbohydrate, and complex structures to better understand biological function.
Parallel Computing for Bioinformatics and Computational Biology by Albert Y. Zomaya [Repost]

Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies by Albert Y. Zomaya
English | Apr 21, 2006 | ISBN: 0471718483 | 813 Pages | PDF | 15 MB

This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.
Bioinformatics: A Practical Approach (Chapman & Hall/CRC Mathematical & Computational Biology) by Shui Qing Ye

Bioinformatics: A Practical Approach (Chapman & Hall/CRC Mathematical & Computational Biology) by Shui Qing Ye
Chapman and Hall/CRC; 1 edition | August 20, 2007 | English | ISBN: 1584888105 | 646 pages | PDF | 30 MB

An emerging, ever-evolving branch of science, bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases, including the National Center for Biotechnology Information. For growth to continue in this field, biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant to the omics age into one cohesive, concise, and self-contained volume.

Coursera - Bioinformatics Algorithms Part 1 (2013)  

Posted by house23 at April 1, 2014
Coursera - Bioinformatics Algorithms Part 1 (2013)

Coursera - Bioinformatics Algorithms Part 1 (2013)
MP4 | AVC 243kbps | English | 960x540 | 29.97fps | 8 hours | AAC stereo 64kbps | 1.11 GB
Genre: Video Training

The sequencing of the human genome a decade ago fueled a computational revolution in biology, which has arguably been an impetus for more new algorithms than any other fundamental realm of science. The newly formed links between computer science and biology affect the way we teach computational ideas to biologists, as well as how applied algorithms are taught to computer scientists. Genome sequencing is just one of hundreds of biological problems that have become inextricable from the computational methods required to solve them. In this course, we will take a look at some of the algorithmic ideas that are fundamental to an understanding of modern biology. Computational concepts like dynamic programming and graph theory will help us explore algorithms applied to a wide range of biological topics, from finding regulatory motifs to reconstructing the tree of life. Throughout the process, we will apply real bioinformatics algorithms to real genetic data.
Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies (Repost)

Parallel Computing for Bioinformatics and Computational Biology: Models, Enabling Technologies, and Case Studies by Albert Y. Zomaya (Repost)
Publisher: Wiley-Interscience (April 21, 2006) | ISBN: 0471718483 | Pages: 816 | PDF | 15.69 MB

This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing.

Beginning Perl for Bioinformatics (Repost)  

Posted by nazarchuk at April 6, 2010
Beginning Perl for Bioinformatics (Repost)

Beginning Perl for Bioinformatics
Publisher: O'Reilly | ISBN: 0596000804 | edition 2001 | PDF | 394 pages | 11,1 mb

With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Beginning Perl for Bioinformatics is designed to get you quickly over the Perl language barrier by approaching programming as an important new laboratory skill, revealing Perl programs and techniques that are immediately useful in the lab. Each chapter focuses on solving a particular bioinformatics problem or class of problems, starting with the simplest and increasing in complexity as the book progresses. Each chapter includes programming exercises. By the end of the book you'll have a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to take on more advanced bioinformatics programming.

Parallel Computing for Bioinformatics and Computational Biology  eBooks & eLearning

Posted by SweetStroke at Aug. 31, 2006
Parallel Computing for Bioinformatics and Computational Biology

Albert Y. Zomaya, «Parallel Computing for Bioinformatics and Computational Biology»
Wiley-Interscience | ISBN 0471718483 | 2006 Year | PDF | 15,60 Mb | 816 Pages

Discover how to streamline complex bioinformatics applications with parallel computing. This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution.

Structural Bioinformatics  eBooks & eLearning

Posted by SweetStroke at Aug. 31, 2006
Structural Bioinformatics

Philip E. Bourne, Helge Weissig, «Structural Bioinformatics»
Wiley-Liss | ISBN 0471202002 | 2003 Year | PDF | 19,50 Mb | 649 Pages

This book provides a basic understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics. The reader emerges with the ability to make effective use of protein, DNA, RNA, carbohydrate, and complex structures to better understand biological function. Moreover, it draws a clear connection between structural studies and the rational design of new therapies.

"A must read for all of us committed to understanding the interplay of structure and function. The individual chapters outline the suite of major basic life science questions such as the status of efforts to predict protein structure and how proteins carry out cellular functions, and also the applied life science questions such as how structural bioinformatics can improve health care through accelerating drug discovery."