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Chapman and Hall/Crc Computational Biology Ser.: Python for Bioinformatics by...
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- Sofort-KaufenChapman and Hall/Crc Computational Biology Ser.: Python for Bioinformatics by...
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eBay-Artikelnr.:205330721210
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781138035263
Über dieses Produkt
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1138035262
ISBN-13
9781138035263
eBay Product ID (ePID)
237637263
Product Key Features
Number of Pages
424 Pages
Publication Name
Python for Bioinformatics
Language
English
Subject
Biotechnology, Probability & Statistics / General, Life Sciences / Biology, Programming Languages / Python
Publication Year
2017
Features
New Edition
Type
Textbook
Subject Area
Mathematics, Computers, Science
Series
Chapman and Hall/Crc Computational Biology Ser.
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
28 Oz
Item Length
10 in
Item Width
7.1 in
Additional Product Features
Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2017-014460
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
572.802855133
Edition Description
New Edition
Table Of Content
Introduction. First Steps with Python. Basic Programming: Data Types. Programming: Flow Control. Code Modularizing. Handling Files. Error Handling. Introduction to Object Oriented Programming. Introduction to Biopython. Web Applications. XML. Introduction to Databases. Collaborative Development. Regular Expressions. Unicode. Graphics. Sequence Manipulation in Batch. Web Application for Filtering Vector Communication. Primer Design Flanking a Variable Length Region. Calculating Melting Temperature from a Set of Primers. Converting XML Blast File into HTML. Infering Splicing Sites. DNA Mutations with Restrictions. Web Server for Multiple Alignment. Drawing Marker Positions Using Data Stored in a Database. Appendix.
Synopsis
In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author's extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.
LC Classification Number
QH324.2.B387 2017
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