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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 Nov 2018
Publisher Packt
ISBN-13 9781789344691
Length 360 pages
Edition 2nd Edition
Languages
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Author (1):
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Tiago Antao Tiago Antao
Author Profile Icon Tiago Antao
Tiago Antao
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Toc

Table of Contents (12) Chapters Close

Preface 1. Python and the Surrounding Software Ecology FREE CHAPTER 2. Next-Generation Sequencing 3. Working with Genomes 4. Population Genetics 5. Population Genetics Simulation 6. Phylogenetics 7. Using the Protein Data Bank 8. Bioinformatics Pipelines 9. Python for Big Genomics Datasets 10. Other Topics in Bioinformatics 11. Advanced NGS Processing

Introduction

Many tasks in computational biology are dependent on the existence of reference genomes. If you are performing sequence alignment, finding genes, or studying the genetics of populations, you will be directly or indirectly using a reference genome. In this chapter, we will develop some recipes for working with reference genomes and dealing with references of a varying quality—which can vary from high quality, as with the human genome, to problematic with non-model species. We will also look at 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. We will also try to find some gene orthologues across species. Finally, we will access a Gene Ontology (GO) database.

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