Bioinformatics Introduction

Bioinformatics: An Introduction, Third Edition  

Posted by Underaglassmoon at May 25, 2015
Bioinformatics: An Introduction, Third Edition

Bioinformatics: An Introduction, Third Edition
Springer | Bioinformatics | July 14 2015 | ISBN-10: 1447167015 | 308 pages | pdf | 4.89 mb

by Jeremy Ramsden (Author)

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.
Bioinformatics: An Introduction, Third Edition (Computational Biology) by Jeremy Ramsden

Bioinformatics: An Introduction, Third Edition (Computational Biology) by Jeremy Ramsden
English | 2015 | ISBN-10: 1447167015 | 308 pages | Epub | 1 mb

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.
Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens [Repost]

Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens
English | Sep. 30, 2005 | ISBN: 0387400826 | 615 Pages | PDF | 4 MB

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data …

Bioinformatics and Functional Genomics  

Posted by AlenMiler at Aug. 23, 2015
Bioinformatics and Functional Genomics

Bioinformatics and Functional Genomics by Jonathan Pevsner
English | Nov 4, 2003 | ISBN: 0471210048 | 781 Pages | PDF | 74 MB

Wiley is proud to announce the publication of the first ever broad-based textbook introduction to Bioinformatics and Functional Genomics by a trained biologist, experienced researcher, and award-winning instructor.

Bioinformatics: An Introduction, Third Edition (repost)  

Posted by interes at June 19, 2015
Bioinformatics: An Introduction, Third Edition (repost)

Bioinformatics: An Introduction, Third Edition (Computational Biology) by Jeremy Ramsden
English | 2015 | ISBN-10: 1447167015 | 308 pages | pdf | 5 mb
Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski [Repost]

Hidden Markov Models for Bioinformatics (Computational Biology) by T. Koski
English | Nov 30, 2001 | ISBN: 1402001363 | 404 Pages | DJVU | 2 MB

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models…

Essential Bioinformatics by Jin Xiong [Repost]  

Posted by BUGSY at May 27, 2015
Essential Bioinformatics by Jin Xiong [Repost]

Essential Bioinformatics by Jin Xiong
English | Mar 13, 2006 | ISBN: 0521840988 | 349 Pages | DJVU | 4 MB

Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained…
Statistical Methods in Bioinformatics: An Introduction by Warren J. Ewens

Statistical Methods in Bioinformatics: An Introduction (Statistics for Biology and Health) by Warren J. Ewens
English | Sep 30, 2005 | ISBN: 0387400826 | 615 Pages | PDF | 4 MB

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions.