PyCon Nigeria Annual Conference

Bioinformatics in Python

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Flora Oladipupo

Flora Oladipupo is a Data Scientist and an AI advocate. She has an extensive experience working in the data field using Python and ML libraries. She is also committed to leveraging technology, particularly AI in solving problems in Africa bridging the gap for more inclusivity for Africans in the AI Space.

Description

This topic shows the intersection between Python and scientific research showing the transition from wet lab to dry lab. This talk delves specifically into how Python facilitates Bioinformatics research focusing on the different case studies and libraries offered by Python.

Abstract

Python marks the beginning of the future for scientific research! Python provides an unlimited amount of possibilities that allow scientific research to expand beyond the wet lab. Using vital Python tools and libraries that have grown to be industry standards, like Biopython, SciPy, NumPy, and Pandas, and their application in resolving challenging biological issues.

OUTLINE:

Python's Versatility and Bioinformatics Summarize the basics of bioinformatics. Python's versatility, particularly in this area.

Vital bioinformatics libraries Sequence analysis and genomics using tools like Bioconda, PyMOL, and libraries like Biopython, Numpy, and Pandas.

Use cases and applications What Python does for comparative genomics, variant calling, and genome annotation. Python in understanding molecular interactions and protein structure prediction. Demonstrating how Python is used to predict drug responses and screen drug candidates. Personalized treatment plans can be created by analyzing genetic data using Python.

Community Role The collaborative nature of open-source projects within the Python Bioinformatics community.

Future Development Bioinformatics's emerging trends and how Python is developing to address these issues.

Audience level: Novice