Introduction to Bioinformatics

Introduction to Bioinformatics
Author: Arthur Lesk
Publisher:
Total Pages: 433
Release: 2019-05
Genre:
ISBN: 0198794142


Download Introduction to Bioinformatics Book in PDF, Epub and Kindle

The ideal text for biology students encountering bioinformatics for the first time, Introduction to Bioinformatics describes how recent technological advances in the field can be used as a powerful set of tools for receiving and analyzing biological data.


Introduction to Bioinformatics
Language: en
Pages: 433
Authors: Arthur Lesk
Categories:
Type: BOOK - Published: 2019-05 - Publisher:

GET EBOOK

The ideal text for biology students encountering bioinformatics for the first time, Introduction to Bioinformatics describes how recent technological advances i
Introduction to Bioinformatics
Language: en
Pages: 720
Authors: Stephen A. Krawetz
Categories: Science
Type: BOOK - Published: 2003-01-31 - Publisher: Springer Science & Business Media

GET EBOOK

to Bioinformatics A Theoretical and Practical Approach Edited by Stephen A. Krawetz, PhD Wayne State University School of Medicine, Detroit MI and David D. Womb
Introduction to Bioinformatics
Language: en
Pages: 192
Authors: Anna Tramontano
Categories: Science
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

GET EBOOK

Guiding readers from the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular functio
Algorithms in Bioinformatics
Language: en
Pages: 408
Authors: Wing-Kin Sung
Categories: Computers
Type: BOOK - Published: 2009-11-24 - Publisher: CRC Press

GET EBOOK

Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algor
An Introduction to Bioinformatics Algorithms
Language: en
Pages: 460
Authors: Neil C. Jones
Categories: Computers
Type: BOOK - Published: 2004-08-06 - Publisher: MIT Press

GET EBOOK

An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposit