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Books like Beginning Perl for bioinformatics by James D. Tisdall


First publish date: 2001
Genre: Technology & Computing/Programming
Authors: James D. Tisdall
★ ★ ★ ★ ★ 0.0 (0 community ratings)

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Beginning Perl for bioinformatics by James D. Tisdall

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Books similar to Beginning Perl for bioinformatics (12 similar books)

Learning Python by 8421195|Mark Lutz book cover

📘 Learning Python
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A comprehensive guide to Python 2.5 that covers types, operations, syntax, functions, modules, classes, OOP, exceptions, and tools.

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📘 Python For Data Analysis
 by Wes McKinney


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Think Python by 11187844|Allen B. Downey book cover

📘 Think Python
 by Allen B. Downey

A practical, hands‑on introduction to programming with Python, guiding readers through essential concepts, functions, recursion, data structures, and object‑oriented design with exercises at every stage.

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Programming Perl by 6252875|Larry Wall book cover

📘 Programming Perl
 by Larry Wall

A comprehensive guide to the Perl programming language, covering its syntax, features, and practical usage for developers.

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📘 Python Cookbook
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Learning Perl by 6252885|Randal L. Schwartz book cover

📘 Learning Perl
 by Randal L. Schwartz

A practical introduction to Perl 5.14, covering data types, subroutines, file operations, regular expressions, Unicode string handling, and module use, built around 128‑line examples and exercises.

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Perl Cookbook by 11183936|Tom Christiansen book cover

📘 Perl Cookbook
 by Tom Christiansen

The Perl Cookbook is a collection of problems, solutions, and practical examples for anyone using the Perl programming language. The examples range in complexity from brief one-liners to complete applications. The publisher represents it as a companion volume to "Programming Perl", also by Christiansen. Forward by Larry Wall. 733 pages. Paperback.

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Introduction to bioinformatics by 13251622|Arthur M. Lesk book cover

📘 Introduction to bioinformatics
 by Arthur M. Lesk

Fully revised and updated, the fourth edition of Introduction to Bioinformatics shows how bioinformatics can be used as a powerful set of tools for retrieving and analyzing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science, and anthropology. This new edition contains two new chapters, with significantly increased coverage of metabolic pathways, and gene expression and regulation. Written for students without a detailed prior knowledge of programming, this book is the perfect introduction to the field of bioinformatics, providing friendly guidance and advice on how to use various methods and techniques. Additionally, frequent examples, self-test questions, problems, and exercises are incorporated throughout the text to encourage self-directed learning.

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Bioinformatics with Python Cookbook by 12138918|Tiago Antao book cover

📘 Bioinformatics with Python Cookbook
 by Tiago Antao


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Perl in a Nutshell by 5666110|Ellen Siever book cover

📘 Perl in a Nutshell
 by Ellen Siever

Presents five Perl texts in HTML format.

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📘 PHP
 by Rasmus Lerdorf


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Algorithms on strings, trees, and sequences by 9734814|Dan Gusfield book cover

📘 Algorithms on strings, trees, and sequences
 by Dan Gusfield


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Some Other Similar Books

Bioinformatics Data Skills: Reproducible and Familiar Technologies for Unlocking Biological Data by Vince Buffalo
Bioconductor Software for Bioinformatics and Computational Biology by Robert Gentleman et al.
Python for Genomics and Biological Data Science by Dr. Samuel H. Cheng
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Learn Bioinformatics Programming with Python by Samson O. Oyewole
Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools by Vince Buffalo
Python for Bioinformatics by Henry S. Warren
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids by Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison
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Practical Computing for Biologists by Steven H. Canon, Margaret H. Canon
Bioinformatics with Python Cookbook by Tarek R. E. Elarabi
Genomic Data Analysis: A Practical Approach by Qin Zhu
Bioinformatics Algorithms: Principles and Applications by Myers & Becker
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Bioinformatics Data Analysis: A Practical Approach by K. K. Shukla

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