Bioinformatics, And Introduction

Applied Bioinformatics: An Introduction [Repost]  eBooks & eLearning

Posted by hill0 at May 19, 2018
Applied Bioinformatics: An Introduction [Repost]

Applied Bioinformatics: An Introduction by Richard J. Marhöfer
English | 3 Jun. 2018 | ISBN: 3319682997 | 183 Pages | PDF | 8.29 MB

Applied Bioinformatics: An Introduction, Second Edition  eBooks & eLearning

Posted by AvaxGenius at May 3, 2018
Applied Bioinformatics: An Introduction, Second Edition

Applied Bioinformatics: An Introduction, Second Edition By Paul M. Selzer
English | PDF,EPUB | 2018 | 197 Pages | ISBN : 3319682997 | 12.56 MB

This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools, without assuming any prior background in programming or informatics. It provides a coherent overview of the complex field and focuses on the implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with practical bioinformatics exercises and solutions facilitate the understanding and application of such tools and interpretation of results. In addition, a glossary explains terminology that is widely used in the field. This straightforward introduction to applied bioinformatics offers an essential resource for students, as well as scientists seeking to understand the basis of sequencing analysis, functional genomics and protein structure predictions.

Applying Big Data Analytics in Bioinformatics and Medicine  eBooks & eLearning

Posted by Underaglassmoon at March 16, 2018
Applying Big Data Analytics in Bioinformatics and Medicine

Applying Big Data Analytics in Bioinformatics and Medicine
Routledge | English | 2018 | ISBN-10: 1522526072 | 465 pages | PDF | 23.98 MB

by Miltiadis D. Lytras (Author, Editor), Paraskevi Papadopoulou (Editor)
Bioinformatics and Biomarker Discovery: "Omic" Data Analysis for Personalized Medicine (Repost)

Francisco Azuaje, "Bioinformatics and Biomarker Discovery: "Omic" Data Analysis for Personalized Medicine"
2010 | pages: 250 | ISBN: 047074460X | PDF | 1,7 mb

Relativistic Quantum Mechanics and Introduction to Field Theory  eBooks & eLearning

Posted by ChrisRedfield at Nov. 22, 2017
Relativistic Quantum Mechanics and Introduction to Field Theory

Francisco J. Yndurain - Relativistic Quantum Mechanics and Introduction to Field Theory
Published: 1996-09-27 | ISBN: 3540604537, 3642646743 | PDF | 332 pages | 24.91 MB
Advanced Biological Processes for Wastewater Treatment: Emerging, Consolidated Technologies and Introduction to Molecular

Márcia Dezotti and João Paulo Bassin, "Advanced Biological Processes for Wastewater Treatment: Emerging, Consolidated Technologies and Introduction to Molecular Techniques"
English | ISBN: 3319588346 | 2017 | 308 pages | PDF, EPUB | 12 MB
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

Bioinformatics and Functional Genomics, 3rd Edition  eBooks & eLearning

Posted by ksveta6 at Dec. 24, 2015
Bioinformatics and Functional Genomics, 3rd Edition

Bioinformatics and Functional Genomics by Jonathan Pevsner
2015 | ISBN: 1118581784 | English | 1160 pages | PDF | 45 MB
Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging (repost)

Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging by Pradipta Maji, Sankar K. Pal
English | 2012 | ISBN: 111800440X | 312 pages | PDF | 10.65 MB
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 …