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Python for Bioinformatics

Python for Bioinformatics

Python for Bioinformatics
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Python for Bioinformatics Paperback - 2017 - 2nd Edition

by Bassi, Sebastian

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Chapman & Hall, 2017. Paperback. New. 2nd edition. 420 pages. 9.75x7.00x1.00 inches.
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Details

  • Title Python for Bioinformatics
  • Author Bassi, Sebastian
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 424
  • Volumes 1
  • Language ENG
  • Publisher Chapman & Hall
  • Publication date 2017
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # x-1138035262
  • ISBN 9781138035263 / 1138035262
  • Weight 1.76 lbs (0.80 kg)
  • Dimensions 9.9 x 6.9 x 1 in (25.15 x 17.53 x 2.54 cm)
  • Category Mathematics
  • Library of Congress subjects Bioinformatics, Python (Computer program language)
  • Library of Congress Catalogue Number 2017014460
  • Dewey Decimal Code 570.285
  • Quantity available 2

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From the publisher

Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. The book focuses on the easy-to-use, yet powerful, Python 3 computer language and explores NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.

About the author

Sebastin Bassi is a Biotechnologist with experience both in software development and bioinformatics research. He worked more than four years for an agribusiness company doing molecular marker database curation. He also helped the EU-SOL project with the bioinformatics support of the international effort to sequence the tomato genome. Both positions involved Python development and intensive data manipulation. While working on this project also collaborated with the development of a web application to query a micro RNA database, which was published at BMC Plant Biology (doi:10.1186/1471-2229-10-240). He also worked on the first Linux distribution for bioinformatics (DNALinux). The last five years we had been working at Globant where he was involved in several projects for leading companies. During this time he was exposed to a myriad of technologies such as Django, Selenium, MongoDB, PostgreSQL, Amazon Web Services (he is an AWS Certified Solutions Architect), PHP and Ruby (among others). He is frequently invited to Python conferences such as Pycon and SciPy.

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