Bioinformatics in Python
Dive into the world of bioinformatics with this comprehensive 4.5-hour tutorial series focused on Python programming. Learn to develop a DNA toolkit, starting with nucleotide validation and counting, and progressing through transcription, reverse complement, GC content calculation, translation, codon usage, and protein search. Tackle Rosalind problems, explore the FASTA file format, and set up essential development tools. Master concepts like open reading frames, Fibonacci sequences in rabbit populations, and searching for real proteins in the NCBI database. Refactor code into a bio_seq class, work with RNA, and implement helper functions. Gain practical skills in data processing and learn to calculate Hamming distance, all while solving real-world bioinformatics challenges using Python.