Python and Biopython Course

Python is a beginner-friendly, high-level programming language widely used in bioinformatics for its simplicity and powerful libraries. Biopython extends Python’s capabilities with tools tailored for biological data, including sequence analysis, file parsing, and data visualization.
This course is designed for life science students and early-career researchers, focusing on practical skills to analyze and visualize real biological datasets using Python and Biopython.

Key learning outcomes include:
- Python Basic,Python Data structures, Python File handling
- Sequence manipulation with Biopython
- Automating BLAST and NCBI queries
- Parsing FASTA, GenBank, and PDB files
- Writing reproducible bioinformatics scripts
By completing this course, candidates will be able to confidently use Python to handle and analyze biological data. They will understand core programming concepts and data structures necessary for bioinformatics tasks. Using Biopython, they will manipulate DNA, RNA, and protein sequences for various analyses, including transcription and translation.

Candidates will learn to automate searches and data retrieval from online resources like NCBI and perform BLAST queries programmatically. They will gain skills in parsing and extracting meaningful information from common biological file formats such as FASTA, GenBank, and PDB. Finally, students will be equipped to write clear, reproducible scripts to streamline their workflows and create visual representations of biological data to aid interpretation.

👉 Enroll now and take the first step toward a future in data-driven biology and beyond.

## 10% Discount if you register before 15th October, 2025. Hurry up!!

Course Information

Course

Python and Biopython

Duration

Online - 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
👉 For doubt clear there will be extra support will be provided based on the requirement.
👉 Certificate will be provided
Course Fees

Support

Candidate can also discuss and possible implementation with their own genomic data.

Module - 1

Python Programming Understanding

Topics

    📘 Introduction to Python
    - Why programming matters in bioinformatics
    - What is Python? Applications in biological sciences
    - Using the Python interpreter and script files
    - Python syntax and writing your first program

    📘 Variables and Data Types
    - Numeric, string, boolean, and None types
    - Type conversion and dynamic typing in Python
    - Introduction to comments and code readability

    📘 Data Structures in Python
    - Lists, Tuples, Dictionaries, and Sets
    - Accessing, updating, and looping through data structures
    - Use cases in biological data organization

    📘 Control Structures
    - Conditional statements (if, elif, else)
    - Looping: for loops and while loops
    - Logic building for data filtering and analysis

    📘 Functions and Modular Programming
    - Built-in functions
    - Defining and calling user-defined functions
    - Organizing reusable code across multiple scripts

    📘 File Handling in Python
    - Reading and writing text, CSV, and TSV files
    - File paths, opening modes, and error handling
    - Deleting or modifying files programmatically

    📘 Python for Bioinformatics
    - Parsing FASTA and GenBank files
    - Extracting metadata and sequence records
    - Automating BLAST and NCBI queries using Biopython

    📘 Data Manipulation and Representation
    - Working with NumPy arrays and Pandas DataFrames
    - Filtering, grouping, and transforming data
    - Summary statistics and basic computations

    📘 Python Package Management
    - Installing and managing packages with pip
    - Overview of Biopython, NumPy, Pandas, matplotlib
    - Keeping your environment clean and updated

Module - 2

Biopython Programming

Topics

    📘 Introduction to Biopython
    - Overview of Biopython and its applications in bioinformatics
    - Key modules and functionality

    📘 Getting Started
    - Installing Biopython via pip
    - Verifying installation and checking version
    - Setting up your environment

    📘 Working with Sequences
    - Creating and manipulating sequence objects
    - Accessing nucleotide and amino acid sequences
    - Basic sequence operations (slicing, concatenation)

    📘 Transcription & Translation
    - DNA to RNA transcription
    - Translating RNA to protein
    - Understanding codons and reading frames

    📘 Sequence Analysis
    - Calculating GC content
    - Measuring sequence length and composition
    - Reverse complement and motif searching

    📘 BLAST Integration
    - Running online BLAST using Biopython
    - Automating sequence alignment and similarity searches
    - Parsing and handling BLAST results programmatically

    📘 Parsing Biological File Formats
    - Reading and writing FASTA, GenBank, and GFF files
    - Extracting annotations, features, and metadata
    - Iterating through large sequence datasets

    📘 Accessing Online Databases
    - Querying NCBI, Entrez
    - Retrieving sequences, publications, and records
    - Automating data retrieval pipelines

    📘 Genome Visualization
    - Introduction to GenomeDiagram module
    - Drawing genome maps and visual elements
    - Highlighting genes, features, and annotations from GenBank/GFF

    📘 Integrative Script Development
    - Combining Python and Biopython in functional scripts
    - Automating workflows for common bioinformatics tasks
    - Best practices in scripting and modular design

Preparation

- Python installation: https://www.python.org/downloads/
- Visual Studio code: https://code.visualstudio.com/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.