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.
Overview
Syllabus
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.
Taught by
rebelScience
