Why this course?
Who should enroll in this course?
What can you expect from the course?
The course mainly focuses on key topics that would help to build a foundation on bioinformatics for research works on biomedical fields or to further explore taking bioinformatics as a career. This course covers basic bioinformatics and other topics important for laboratory research works.
In addition, the course is designed in such a way that each trainee is encouraged to explore further and take their own route of learning during the workshops or/and on their own.
24 hours of hands-on (online zoom session), and over 30 hours of self-practice.
The course is spread over 6 weeks, 4 hours a week, plus two hours of additional sessions within six weeks. Full schedule will be provided before the session begins.
Individual: Rs. 7,000.00
Group of three: Rs. 6000.00 each
Group of five: Rs. 5000 each
Fee for individual module/Week: Rs. 1500
Rajendra Pangeni, PhD (Cancer Biology)
Tara Sigdel, Ph.D. (Biomarkers discovery)
Milan Bimali, Ph.D. Data Science
Saroj Sah, Ph.D., Molecular Biology
Ayousha Shahi, MS Plant Biology
Week 1: Program/Course orientation and introduction -4 hours
Program/Course orientation-2 hour
Basics of Genomics, Transcriptomics, Proteomics, and Metabolomics and their relevance in bioinformatics- 2 hr
Week 2: -Biostatistics, databases and tools-4 hours
Introduction to the Biostatistics-2 hour
Statistics are applied in data analyses, and why we determine statistical significance in experiments and databases.
Databases and tools to analyze a gene/protein of interest-1 hour
Gene/protein structure, Open reading frame (ORF), sequence formats/FASTA etc- 1 hour
Week 3-Sequence analyses- 3 hours
Sequence similarity searching (eg. BLAST)
Pairwise/multiple sequence alignment and phylogenetics
Week 4: Public databases and bioinformatics tools in laboratory-based research works-4 hours
Detecting/determining mutation/expression of a gene of interest – 2 hours
Primer design to amplify gene to detect if the given gene is mutated and to determine its expression at mRNA level (qRT)
Exploring available disease databases (mutation, expression and DNA methylation) and retrieving the data for the gene (s) of interest- 2 hours
Week 5: Gene set enrichment analyses, pathways, and specialized future offerings -4 hours
Gene enrichment analysis, pathway analysis -2 hr
Individual presentation and Further learnings -2 hr