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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781782175117
Length 306 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Python and the Surrounding Software Ecology 2. Next-generation Sequencing FREE CHAPTER 3. Working with Genomes 4. Population Genetics 5. Population Genetics Simulation 6. Phylogenetics 7. Using the Protein Data Bank 8. Other Topics in Bioinformatics 9. Python for Big Genomics Datasets Index

Introduction


Many tasks in computational biology are dependent on the existence of reference genomes. If you are performing a sequence alignment, finding genes, or studying genetics of populations at several points of your work, you will be directly or indirectly using a genome reference. In this chapter, we will develop some recipes to work with reference genomes and deal with varying quality of references (which can vary for high-quality, like with the human genome, to problematic with non-model species). We will also see how to deal with genome annotations (working with text databases that will point us to interesting features in the genome) and extract sequence data using the annotation information. Also, we will try to find some gene orthologues across species. Finally, we will access a gene ontology (GO) database.

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