This course teaches how to read and analyze single and multiple sequence fasta files using Python, calculate GC content, read GenBank files, plot Venn Diagrams, extract sequences, count features, download sequences from NCBI, and get codons from sequences. The teaching method includes hands-on Python programming and practical bioinformatics applications. The intended audience is beginners in bioinformatics and biologists looking to enhance their Python skills for sequence analysis.
Overview
Syllabus
Bioinformatics for Beginners | Course | Python | Read single sequence fasta files using Python.
Python Programming | Bioinformatics| Biologists|Read multi fasta files using Python.
Python for Bioinformatics | Calculate GC Content of a sequence in a single fasta file using python.
Python for Bioinformatics | Calculate GC content of sequences in a multi-fasta file.
Python Programming | Bioinformatics| Biologists | how to reading GenBank Files using Python.
Python for Bioinformatics | Calculate GC Content in Multiple Fasta Files using Python.
Plot Venn Diagrams using Python Matplotlib.
Extract Sequences from a genbank file | Python for Bioinformatics | Beginners: | Part I.
Extract multiple gene sequences from genbank files.
Count Features in Multiple Genbank Files | PART 1.
Count features in multiple genbank files | Part 2.
Run your python codes online.
Python for Bioinformatics | Download sequences from NCBI.
Count features in a Genbank file using Python.
Python for Bioinformatics | Get Codons from Sequences | Bioinformatics for Beginners | Course.
Taught by
Bioinformatics Coach
