Developing Bioinformatics Computer Skills

Developing Bioinformatics Computer Skills
Author: Cynthia Gibas
Publisher: "O'Reilly Media, Inc."
Total Pages: 452
Release: 2001
Genre: Computers
ISBN: 9781565926646

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This practical, hands-on guide shows how to develop a structured approach to biological data and the tools needed to analyze it. It's aimed at scientists and students learning computational approaches to biological data, as well as experienced biology researchers starting to use computers to handle data.


Developing Bioinformatics Computer Skills
Language: en
Pages: 452
Authors: Cynthia Gibas
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: "O'Reilly Media, Inc."

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This practical, hands-on guide shows how to develop a structured approach to biological data and the tools needed to analyze it. It's aimed at scientists and st
Developing Bioinformatics Computer Skills
Language: en
Pages:
Authors: Cynthia Gibas
Categories: Computers
Type: BOOK - Published: 2001-01-01 - Publisher: Turtleback

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Offers a structured approach to biological data and the computer tools needed to analyze it, covering UNIX, databases, computation, Perl, data mining, data visu
Bioinformatics Data Skills
Language: en
Pages: 538
Authors: Vince Buffalo
Categories: Computers
Type: BOOK - Published: 2015-07 - Publisher: "O'Reilly Media, Inc."

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Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll lea
Bioinformatics Biocomputing and Perl
Language: en
Pages: 506
Authors: Michael Moorhouse
Categories: Medical
Type: BOOK - Published: 2005-09-27 - Publisher: John Wiley & Sons

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Bioinformatics, Biocomputing and Perl presents a modern introduction to bioinformatics computing skills and practice. Structuring its presentation around four m
R Programming for Bioinformatics
Language: id
Pages: 328
Authors: Robert Gentleman
Categories: Mathematics
Type: BOOK - Published: 2008-07-14 - Publisher: CRC Press

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Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for