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Genomics for Biomedical Drug Discovery is an online bioinformatics training program that will provide an in-depth overview of concepts and analytical tools used to study genomic variation. The program is designed to introduce students, clinicians and researchers to the role and the applications of Genomic Data Analysis to study genomic variation and apply genomics in translational sciences to improve diagnostic accuracy, predict which drugs are likely to be effective in patients, and contribute to the monitoring, treatment and diseases in individuals and populations.
Each week, participants will meet online to discuss various aspects of NGS data processing, genomic data analysis, and interpretation. After the first introductory lectures, participants will have the opportunity to get guidance and work on curated datasets or develop independent projects that leverage the tools and concepts covered in this program.
Key Topics Covered:
Many types of omics data require step-by-step preparation, exploration, annotation, and visualization to understand. The T-BioInfo platform was designed for big multi-omics data analysis hiding the complexities of data with a user-friendly and intuitive interface that eliminates the need for coding and advanced machine learning algorithms for data integration and mining.
A program that embeds data-driven concepts into biological projects, spanning the student learning journey from observer to participant in research. Project-based learning for big data bioinformatics is to go beyond the theory with real datasets, projects, and expert mentors. Work with curated datasets from publicly available repositories with easy-to-follow tutorials.
Data processing for Next Generation Sequencing, Mass-Spectroscopy, Structural and phenotypic data. Build and adapt pipelines using similar approaches to data mapping, quantification, and annotation that are used to prepare data for downstream statistical analysis, train machine learning models and annotate features.
Introduction to Programming: R and Python
Online bioinformatics coding exercises to learn and explore R and Python scripting and understand how to analyze and visualize -omics data to extract meaningful insights from large biological datasets. Learn, practice, and achieve bioinformatics greatness with concise exercises and interesting challenges right in the comfort of your browser!
Program Syllabus : OmicsLogic Genomics
SESSIONS TITLE | TOPICS TO BE COVERED |
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FEBRUARY 02, 2022 |
Course Overview
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FEBRUARY 09, 2022 |
Bioinformatics in R and Python
Associated online resource: |
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FEBRUARY 16, 2022 |
NGS history & applications
Associated online resources:
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FEBRUARY 21, 2022 at 1 PM CST |
LIVE QnA Session |
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FEBRUARY 23, 2022 |
Introduction to Genomics
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MARCH 03, 2022 |
Genomics 1: Cancer
Associated online resource: |
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MARCH 10, 2022
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Introduction to NGS Genomic Projects
Associated online resource: |
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MARCH 17, 2022 |
Gen. Sequence Analysis
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MARCH 18, 2022 at 1 PM CST |
LIVE QnA Session |
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MARCH 24, 2022 |
Mutations and Variant Analysis
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MARCH 31, 2022 |
Sequence, structure, and function
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MARCH 31, 2022 at 1 PM CST |
LIVE QnA Session |
If you need help finalizing registration, contact Farhana Musarrat (email: fmusar1@lsu.edu). You have to register for the orientation using the form below. For LSU or LBRN members, you can complete your registration via BIOMMED iLab link below -
Register for the Online Mentor Guided Training Program

Training Certificate from the Louisiana Biomedical Research Network or LSU BioMMED:
- Certification of Training Requirement Completion
- Recognition within the Network and Other IDeA States
- Advancement for Research, Faculty and Student participants within the LBRN Network
- Training certification for LSU through the Center for Biotechnology and Biomolecular Medicine at the Louisiana State University