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YouTube

Bioinformatics in Python - DNA Toolkit

via YouTube

Overview

This course aims to teach learners how to apply Python programming in bioinformatics, specifically focusing on DNA analysis. By the end of the course, students will be able to validate and count nucleotides, perform transcription and reverse complement operations, calculate GC content, analyze codon usage, identify open reading frames, search for proteins in reading frames, and extract real proteins from databases. The course teaches skills such as coding in Python, bioinformatics analysis, DNA manipulation, and protein sequence searching. The teaching method involves hands-on coding exercises and practical examples. This course is intended for individuals interested in bioinformatics, DNA analysis, Python programming, and genetic research.

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

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