Python Module I: Basics to Advanced

• Introduction to Python language  
• Role of Programming in Bioinformatics
• Installation of Python on various platforms
• Installation of IDE-Print function, Comments, User input
• Command line arguments and Data types
• Variables and rules to create a variable
• In-built functions of Python slicing and indexing in String
• String and data formatting
• Control statements (if-else,If-elif-else,for loop, etc)
• Python data structure (List, Set, Tuple, etc.)
• Methods of data structures
• Function introduction & its requirement
• Exception Handling, File Handling & Pandas Library

Python Module II: Packages of Biopython

• Introduction to Biopython
• Installation of Biopython
• Conversion of a string into a biological sequence
• Obtaining complement, reverse complement, transcribe, reverse transcribe, and translation from a sequence
• Finding GC content from a sequence
• SeqIO object: Reading various biological file formats such as Fasta & GenBank
• Analysis of fasta sequences
• Finding GC content of a fasta file containing multiple sequences & storing the data in a file
• Converting a GenBank file into Fasta format

Python Module III (APPLICATION:- NGS pipeline engineering using Biopython)

• Introduction to RNA Seq  
• Necessary Tools installation
• Learn how Data Retrieval is done
• Quality Check of reads
• Trimming and cleaning of data
• Understanding mapping of reads on the reference genome and file formats (SAM, BAM)
• Visualization techniques
• Gene Expression Quantification & Analyzation
• Gene ontology enrichment analysis
• RNA seq pipeline development
• Pipeline automation of RNA sequencing pipeline using Python