Registration closes
Virtual Workshop

Python for Biologists: Beginners Level

Empower Your Research with Python: Program Your Way to Discovery in Biology

  • Mode: Virtual (Google Meet)
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 3 Days (1.5 hours per day)
  • Starts:
  • Time: IST

About This Course

Python for Biologists: Beginners Level is designed to introduce Python programming in a context that is immediately applicable to biological sciences. Over 3 days, participants will learn how to handle biological data, perform statistical analysis, visualize results, and automate repetitive tasks using Python. The workshop emphasizes practical, hands-on exercises tailored to common biological data scenarios such as sequence analysis, ecological data interpretation, and genetic data processing.

Aim

This workshop aims to equip biologists and life science researchers with fundamental Python programming skills to enhance their data analysis capabilities. By the end of the workshop, participants will be adept at using Python to automate tasks, analyze biological data, and contribute to complex bioinformatics projects.

Workshop Objectives

  • Introduce participants to Python programming concepts and syntax.
  • Provide an overview of the applications of Python in different biological domains.
  • Teach participants how to analyze gene sequences, proteins, and transcriptomic data using Python.
  • Familiarize participants with structural biology techniques such as X-ray crystallography, NMR, and circular dichroism and how Python can aid in their analysis.
  • Explore pathway analysis and its significance in understanding cellular dynamics, reconstruction, and biomarker prediction using Python-based tools.

Workshop Structure

Module 1: Sequence Analysis

  • Introduction to Python for Biologists.
  • Python Basics: Variables, Data Types, and Control Structures
  • Gene and Genome Analysis with Python
  • Protein and Proteome Analysis with Python
  • Transcriptome Analysis with Python

Module 2: Structure Analysis

  • Introduction to Structural Biology and Python’s Role
  • Analyzing X-ray Crystallography Data with Python
  • NMR Data Analysis with Python
  • Circular Dichroism (CD) Spectroscopy and Python Analysis

Module 3: Pathway Analysis

  • Introduction to Pathway Analysis and Its Significance.
  • Cellular Dynamics Modeling with Python
  • Pathway Reconstruction
  • Biomarker Prediction using Python

Who Should Enrol?

  • Undergraduate or graduate students in Biology, Biochemistry, Genetics, or related fields.
  • Research scientists and academic professionals interested in bioinformatics.
  • Healthcare professionals looking to enhance data analysis skills in biological research.

Workshop Outcomes

  • Mastery of Python for biological data analysis
  • Ability to automate data processing tasks in biological research
  • Enhanced capability to visualize and interpret complex datasets
  • Skills in applying computational techniques to real-world biological problems
  • Readiness to contribute to interdisciplinary research teams

Fee Structure

Standard: ₹3,998 | $100

Discounted: ₹1999 | $50

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

Join Our Hall of Fame!

Take your research to the next level with NanoSchool.

Publication Opportunity

Get published in a prestigious open-access journal.

Centre of Excellence

Become part of an elite research community.

Networking & Learning

Connect with global researchers and mentors.

Global Recognition

Worth ₹20,000 / $1,000 in academic value.

Need Help?

We’re here for you!


(+91) 120-4781-217

★★★★★
AI and Ethics: Governance and Regulation

I liked very much the presentation. Thank´s

Irene Portela
★★★★★
AI for Healthcare Applications

My mentor was very nice and generous when it came to questions, and he showed us many useful tools

Fatima Zahra Rami
★★★★★
AI and Automation in Environmental Hazard Detection

As I mentioned earlier, the mentor’s English was difficult to understand, which made it challenging to follow the training. A possible solution would be to provide participants with a PDF version of the presentation so we could refer to it after the session. Additionally, the mentor never turned on her camera, did not respond to questions, and there was no Q&A session. These factors significantly reduced the quality and effectiveness of the training.

Anna Malka
★★★★★
AI and Ethics: Governance and Regulation

Good but less innovative

Saraswathi Sivamani

View All Feedbacks →

Stay Updated


Join our mailing list for exclusive offers and course announcements

Ai Subscriber