Catholic University of Zimbabwe Library
Online Public Access Catalogue
(OPAC)

A Primer for Computational Biology (Record no. 20232)

MARC details
000 -LEADER
fixed length control field 02668nam a2200373 4500
001 - CONTROL NUMBER
control field OTLid0000896
003 - CONTROL NUMBER IDENTIFIER
control field MnU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20201105133415.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d s
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200722s2017 mnu o 0 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number
040 ## - CATALOGING SOURCE
Original cataloging agency MnU
Language of cataloging eng
Transcribing agency MnU
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QH308.2
245 02 - TITLE STATEMENT
Title A Primer for Computational Biology
Statement of responsibility, etc. Shawn O'Neil
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Open Textbook Library
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Oregon State University
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
490 0# - SERIES STATEMENT
Series statement Open textbook library.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Part I: Introduction to Unix/Linux -- Part II: Programming in Python -- Part III: Programming in R
520 0# - SUMMARY, ETC.
Summary, etc. A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful "pipe" operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2.
542 1# - INFORMATION RELATING TO COPYRIGHT STATUS
Copyright statement Attribution-NonCommercial-ShareAlike
546 ## - LANGUAGE NOTE
Language note In English.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on print resource
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science
Form subdivision Textbooks
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biology
Form subdivision Textbooks
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name O'Neil, Shawn T.
Relator term author
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Open Textbook Library
Relator term distributor
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://open.umn.edu/opentextbooks/textbooks/896">https://open.umn.edu/opentextbooks/textbooks/896</a>
Public note Access online version
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Shelving location Date acquired Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type
          Digital Library Online Access 05.11.2020   QA76 05.11.2020 https://open.umn.edu/opentextbooks/textbooks/896 05.11.2020 eBook

OPENING HOURS

Weekdays: 0815hrs - 1800hrs
Weekends:0900hrs - 1200hrs

Closed for Mass:

Mon, Thur: 1200hrs - 1300hrs
Sunday & Public Holiday’s

CALL SUPPORT

0242-570570, 0242-570169
09200664, +263 8644140602

LOCATION

18443, Cranborne Avenue, Hatfield, Harare

Other Links


©2021 | CUZ Library