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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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Table of Contents (12) 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. Bioinformatics Pipelines 9. Python for Big Genomics Datasets 10. Other Topics in Bioinformatics 11. Advanced NGS Processing

Working with alignment data

After you receive your data from the sequencer, you will normally use a tool such as Burrows-Wheeler Aligner (bwa) to align your sequences to a reference genome. Most users will have a reference genome for their species. You can read more on reference genomes in the next chapter, Chapter 3, Working with Genomes.

The most common representation for aligned data is the sequence alignment map (SAM) format. Due to the massive size of most of these files, you will probably work with its compressed version (BAM). The compressed format is indexable for extremely fast random access (for example, to speedily find alignments to a certain part of a chromosome). Note that you will need to have an index for your BAM file, which is normally created by the tabix utility of SAMtools. SAMtools is probably the most widely-used tool for manipulating SAM/BAM files.

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You have been reading a chapter from
Bioinformatics with Python Cookbook - Second Edition
Published in: Nov 2018
Publisher: Packt
ISBN-13: 9781789344691
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