Bioinformatics Genome

Bioinformatics. Sequence and Genome Analysis (Repost)  eBooks & eLearning

Posted by step778 at Sept. 21, 2017
Bioinformatics. Sequence and Genome Analysis (Repost)

David W. Mount, "Bioinformatics. Sequence and Genome Analysis"
2001 | pages: 577 | ISBN: 8123909985, 0879695978, 0879696087 | DJVU | 5,2 mb

Bioinformatics: Sequence and Genome Analysis (Repost)  eBooks & eLearning

Posted by DZ123 at Jan. 29, 2016
Bioinformatics: Sequence and Genome Analysis (Repost)

David Mount, "Bioinformatics: Sequence and Genome Analysis"
English | 2001 | ISBN: 0879696087 | PDF | pages: 565 | 8,5 mb

Bioinformatics and Data Analysis in Microbiology  eBooks & eLearning

Posted by interes at Jan. 21, 2016
Bioinformatics and Data Analysis in Microbiology

Bioinformatics and Data Analysis in Microbiology by Ozlem Tastan Bishop
English | 2014 | ISBN: 1908230398 | 264 pages | PDF | 2,7 MB

Bioinformatics: Sequence and Genome Analysis by David W. Mount [Repost]  eBooks & eLearning

Posted by BUGSY at May 25, 2015
Bioinformatics: Sequence and Genome Analysis by David W. Mount  [Repost]

Bioinformatics: Sequence and Genome Analysis by David W. Mount
English | Mar 15, 2001 | ISBN: 0879696087 | 577 Pages | DJVU | 8 MB

The application of computational methods to DNA and protein science is an exciting development in biology. "Bioinformatics: Sequence and Genome Analysis" is a comprehensive introduction to this emerging field of study.

Genome Informatics 2010 (Repost)  eBooks & eLearning

Posted by melia at Feb. 10, 2015
Genome Informatics 2010 (Repost)

Tatsuya Akutsu, Minoru Kanehisa, Edda Klipp, Satoru Miyano, Scott Mohr, Thomas Tullius, Iwona Wallach, "Genome Informatics 2010"
English | 2010 | ISBN: 1848166575 | 244 pages | PDF | 9 MB

Bioinformatics: Sequence and Genome Analysis by David W. Mount  eBooks & eLearning

Posted by tanas.olesya at Dec. 15, 2014
Bioinformatics: Sequence and Genome Analysis by David W. Mount

Bioinformatics: Sequence and Genome Analysis by David W. Mount
English | March 15, 2001 | ISBN: 0879696087 | 565 Pages | PDF | 7 MB

The application of computational methods to DNA and protein science is an exciting development in biology. "Bioinformatics: Sequence and Genome Analysis" is a comprehensive introduction to this emerging field of study. The book has many valuable features. It is written for biologists who want to understand methods of sequence and structure analysis and how the necessary computer programs work.

Microbial Gene Essentiality: Protocols and Bioinformatics  eBooks & eLearning

Posted by ChrisRedfield at Oct. 10, 2014
Microbial Gene Essentiality: Protocols and Bioinformatics

Andrei L. Osterman, Svetlana Y. Gerdes - Microbial Gene Essentiality: Protocols and Bioinformatics
Published: 2008-02-04 | ISBN: 1588293785, 1617375292 | PDF | 486 pages | 7 MB

Your Passport to a Career in Bioinformatics (repost)  eBooks & eLearning

Posted by interes at Sept. 8, 2014
Your Passport to a Career in Bioinformatics (repost)

Your Passport to a Career in Bioinformatics by Prashanth N Suravajhala
English | ISBN: 8132211626 | 2013 | PDF | 84 pages | 2,4 MB

The book is a ready reckoner aimed at the student community aspiring to take up a career in bioinformatics. The book firstly provides a perspective on the domain and addresses the challenges faced by community namely the attempts to understand data produced by genome sequencing projects.

Design, Analysis, and Interpretation of Genome-Wide Association Scans  eBooks & eLearning

Posted by ChrisRedfield at May 16, 2014
Design, Analysis, and Interpretation of Genome-Wide Association Scans

Daniel Stram - Design, Analysis, and Interpretation of Genome-Wide Association Scans
Published: 2013-12-10 | ISBN: 1461494427 | PDF | 200 pages | 3 MB

Coursera - Bioinformatics Algorithms Part 1 (2013)  eBooks & eLearning

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.