Main background
img

The source of the book

This book is published for the public benefit under a Creative Commons license, or with the permission of the author or publisher. If you have any objections to its publication, please contact us.

img
img

Reproducible Bioinformatics with Python

(0)

Number Of Downloads:

54

Number Of Reads:

9

Language:

English

File Size:

7.41 MB

Category:

Technology

Pages:

527

Quality:

excellent

Views:

978

img

Quate

img

Review

Save

Share

Book Description

Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and postdoc researchers who've never learned basic programming skills. This practical guide shows how to exploit the best parts of Python for solving problems in biology while also creating documented, tested, reproducible software.

Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates how to write effective Python code and how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--such as linters, formatters, type checkers, and tests--to write documented and tested programs.

img

Ken Youens Clark

Ken Youens Clark works as a Data Engineer at The Critical Path Institute where he helps partners in industry, academia, and government find novel drug therapies for diseases ranging from cancer and tuberculosis to thousands of rare diseases. His career in bioinformatics began in 2001 when he joined a plant genomics project at Cold Spring Harbor Laboratory under the direction of Dr. Lincoln Stein, a prominent author of books and modules in Perl and an early advocate for open software, data, and science. In 2014 Ken moved to Tucson, AZ, to work as a Senior Scientific Programmer at the University of Arizona where he completed a MS in Biosystems Engineering in 2019. While at UA, Ken enjoyed teaching programming and bioinformatics skills, and used some of those ideas in his first book, Tiny Python Projects (Manning, 2020), which uses a test-driven development approach to teaching Python.

Read More
Sorry, this book file is currently unavailable. We're working on a full website update, and the file will be uploaded soon. Thank you for your patience and interest.

Rate Now

1 Stars

2 Stars

3 Stars

4 Stars

5 Stars

Comments

User Avatar
img

Be the first to leave a comment and earn 5 points

instead of 3

Quotes

Top Rated

Latest

Quate

img

Be the first to leave a quote and earn 10 points

instead of 3