Introduction to Bioinformatics
By Arthur M. Lesk
"Introduction to Bioinformatics" is published by Oxford University Press in 2008 - Oxford, the book is classified in Science genre, it has 474 pages and the language of the book is English.
“Introduction to Bioinformatics” Metadata:
- Title: Introduction to Bioinformatics
- Author: Arthur M. Lesk
- Language: English
- Number of Pages: 474
- Is Family Friendly: Yes - No Mature Content
- Publisher: Oxford University Press
- Publish Date: 2008
- Publish Location: Oxford
- Genres: Science
“Introduction to Bioinformatics” Subjects and Themes:
- Subjects: ➤ Bioinformatics - Computational biology - Биология//Молекулярная//Биоинформатика - Bioinformatik - Biology - Health & Biological Sciences - Biophysics - Genomes - Computer applications - Databases - Information retrieval - Nucleotide sequence - Phylogeny - Proteins - Biological Science Disciplines - Natural Science Disciplines - Disciplines and Occupations - Qh507 .l47 2008 - 2008 i-702 - Qu 26.5 l629i 2008 - 572.80285 - Molekulare Bioinformatik
Edition Specifications:
- Pagination: xxii, 474 p. :
Edition Identifiers:
- Google Books ID: et5qQgAACAAJ
- The Open Library ID: OL16928870M - OL4476971W
- Online Computer Library Center (OCLC) ID: 883035039 - 176818855
- Library of Congress Control Number (LCCN): 2008274232
- ISBN-13: 9780199208043
- ISBN-10: 0199208042
- All ISBNs: 9780199208043 - 0199208042
AI-generated Review of “Introduction to Bioinformatics”:
Snippets and Summary:
The ideal text for those new to the subject, it focuses on how bioinformatics tools can be applied, and what they can tell us about biological systems, without requiring detailed prior knowledge.
"Introduction to Bioinformatics" Description:
Google Books:
An Introduction to Bioinformatics introduces students to the immense power of bioinformatics as a set of scientific tools. The ideal text for those new to the subject, it focuses on how bioinformatics tools can be applied, and what they can tell us about biological systems, without requiring detailed prior knowledge.
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