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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


In this chapter, we will address some topics that are well within the remit of computational biology and deserve at least some reference. We will start with a recipe on metagenomics using QIIME 2. Then, we will infer shared chromosomal segments across individuals using Germline. After that, we will have a look at some recipes using the Global Biodiversity Information Facility (GBIF), a database of worldwide scientific data on biodiversity. Then, we will interface Python with Cytoscape, a powerful software platform that's used for visualizing genomic and proteomic interaction networks.

We will take the opportunity to indirectly introduce other topics, such as more bioinformatics databases, graph processing, and geo-referencing, that are relevant to our context (one way or another). To interface, we will only use REST APIs for all databases and services, making the code in all of the recipes here quite streamlined. You may want to refresh your knowledge of REST architectures. We...

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