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Bioinformatics in Python: Intro

Bioinformatics in Python: DNA Toolkit. Part 1: Validating and counting nucleotides.

Bioinformatics in Python: DNA Toolkit. Part 2: Transcription, Reverse Complement

Bioinformatics in Python: DNA Toolkit. Part 3: GC Content Calculation

Bioinformatics in Python: DNA Toolkit. Part 4: Translation, Codon Usage

Bioinformatics in Python: DNA Toolkit. Part 5: Open Reading Frames

Bioinformatics in Python: DNA Toolkit. Part 6: Protein search in a reading frame

Bioinformatics in Python: DNA Toolkit. Part 7: A search for a real protein from NCBI database

Bioinformatics in Python: DNA Toolkit. Part 8.1: Code refactoring into a bio_seq class

Bioinformatics in Python: DNA Toolkit. Part 8.2: Code refactoring into a bio_seq class

Bioinformatics in Python: DNA Toolkit. Part 9: RNA, Helper functions

Description:

Dive into a comprehensive 2.5-hour tutorial on bioinformatics using Python, focusing on building a DNA toolkit. Learn to validate and count nucleotides, perform transcription and reverse complement operations, calculate GC content, translate DNA to proteins, analyze codon usage, identify open reading frames, search for proteins within reading frames, and query the NCBI database for real protein sequences. Explore code refactoring techniques to create a bio_seq class, and delve into RNA analysis and helper functions. Gain practical skills in manipulating and analyzing genetic data using Python programming.

Bioinformatics in Python - DNA Toolkit

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#Data Science #Bioinformatics #Programming #Programming Languages #Python #DNA Analysis

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