Bioinformatics Algorithms

An Introduction To Bioinformatics Algorithms  

Posted by AlenMiler at Sept. 23, 2015
An Introduction To Bioinformatics Algorithms

An Introduction To Bioinformatics Algorithms by Virender Singh
English | 2015-09-20 | ASIN: B015MM7B0C | 400 Pages | True MOBI (Kindle)/(EPUB/PDF conv) | 7.07 MB

This book is about how to design algorithms that solve biological problems. We will see how popular bioinformatics algorithms work and we will see what principles drove their design.

An Introduction to Bioinformatics Algorithms  eBooks & eLearning

Posted by Grev27 at Nov. 14, 2014
An Introduction to Bioinformatics Algorithms

Neil C. Jones, Pavel A. Pevzner, "An Introduction to Bioinformatics Algorithms"
English | ISBN: 0262101068 | 2004 | PDF | 456 pages | 5,4 MB
Bioinformatics Algorithms: Techniques and Applications

Bioinformatics Algorithms: Techniques and Applications
by Ion Mandoiu, Alexander Zelikovsky
English | 2008 | ISBN: 0470097736 | 500 pages | PDF | 4.55 MB

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.

Bioinformatics: Life Sciences on Your Computer - Johns Hopkins University  eBooks & eLearning

Posted by ParRus at Nov. 6, 2016
Bioinformatics: Life Sciences on Your Computer - Johns Hopkins University

Bioinformatics: Life Sciences on Your Computer - Johns Hopkins University
WEBRip | English | MP4 + PDF Guides | 960 x 540 | AVC ~31.4 kbps | 29.970 fps
AAC | 128 Kbps | 44.1 KHz | 2 channels | Subs: English (.srt) | 03:47:26 | 455 MB
Genre: eLearning Video / Science, Information, Technology, Bioinformatics

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access. The DNA sequencing revolution has exploded and new, inexpensive technologies have led to sequences being determined faster than they can be analyzed. Bioinformatics brings together biology, math and computer science into a quickly emerging discipline that turns the computer into a scientific research lab.

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.

Encyclopedia of Algorithms, Second Edition  eBooks & eLearning

Posted by Underaglassmoon at June 10, 2016
Encyclopedia of Algorithms, Second Edition

Encyclopedia of Algorithms, Second Edition
Springer | Theoretical Computer Science | March 14 2016 | ISBN-10: 1493928635 | 2389 pages | pdf | 48.84 mb

Editors: Kao, Ming-Yang (Ed.)
Covers a wealth of problems currently relevant in diverse fields including biology, economics, financial software and computer science, amongst others
Presents accessible, updated and enhanced, A-Z entries with useful cross-references
Features examples from growing areas such as bioinformatics and social networks
Ensures a balanced coverage through a top-quality, scientifically and geographically diverse editorial board
Offers literature references for those looking to study a topic in more detail
Algorithms in Bioinformatics: 15th International Workshop, WABI 2015, Atlanta, GA, USA

Mihai Pop and Hélène Touzet, "Algorithms in Bioinformatics: 15th International Workshop, WABI 2015, Atlanta, GA, USA"
English | ISBN: 3662482207 | 2016 | 348 pages | PDF | 20 MB

Classification and Learning Using Genetic Algorithms  

Posted by tanas.olesya at Feb. 11, 2016
Classification and Learning Using Genetic Algorithms

Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence by Sanghamitra Bandyopadhyay
English | 23 Apr. 2007 | ISBN: 3540496068 | 320 Pages | PDF | 6 MB

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries.

Bioinformatics in Cancer and Cancer Therapy (repost)  

Posted by MoneyRich at Dec. 13, 2015
Bioinformatics in Cancer and Cancer Therapy (repost)

Bioinformatics in Cancer and Cancer Therapy by Gavin J. Gordon
English | 10 Dec. 2008 | ISBN: 1588297535 | 220 Pages | PDF | 5 MB

Bioinformatics can be loosely defined as the collection, classification, storage, and analysis of biochemical and biological information using computers and mathematical algorithms. Bioinformatics represents a marriage of biology, medicine, computer science, physics, and mathematics, fields of study that have historically existed as mutually exclusive disciplines.