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{ "item_title" : "Coding for Biologists", "item_author" : [" Amara Hawthorn "], "item_description" : "In Coding for Biologists: An Introduction to Bioinformatics, you'll learn how to harness the power of Python to handle real biological datasets, from gene sequences to protein structures. No prior coding knowledge is required-everything is explained step by step with clear examples drawn directly from the life sciences.What you'll learn inside: The basics of Python programming tailored for biological data.How to process DNA, RNA, and protein sequences with practical scripts.Data analysis techniques to uncover patterns in genomes and experiments.How bioinformatics tools accelerate discoveries in genetics and molecular biology.Hands-on projects that connect theory with real-world biology applications.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/826/215/9798262154876_b.jpg", "price_data" : { "retail_price" : "18.99", "online_price" : "18.99", "our_price" : "18.99", "club_price" : "18.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Coding for Biologists|Amara Hawthorn

Coding for Biologists : An Introduction to Bioinformatics: Analyze DNA, proteins, and more using Python - a primer for the life sciences

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Overview

In Coding for Biologists: An Introduction to Bioinformatics, you'll learn how to harness the power of Python to handle real biological datasets, from gene sequences to protein structures. No prior coding knowledge is required-everything is explained step by step with clear examples drawn directly from the life sciences.
What you'll learn inside:

  • The basics of Python programming tailored for biological data.

  • How to process DNA, RNA, and protein sequences with practical scripts.

  • Data analysis techniques to uncover patterns in genomes and experiments.

  • How bioinformatics tools accelerate discoveries in genetics and molecular biology.

  • Hands-on projects that connect theory with real-world biology applications.

This item is Non-Returnable

Details

  • ISBN-13: 9798262154876
  • ISBN-10: 9798262154876
  • Publisher: Independently Published
  • Publish Date: September 2025
  • Dimensions: 9 x 6 x 0.6 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 286

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