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 explore further taking bioinformatics as a career. This course covers basic bioinformatics and other topics important for laboratory research work.
In addition, the course is designed so that each trainee is encouraged to take their own route of learning during the workshops or/and on their own.
Course duration
20 hours of hands-on (online Zoom session), and over 30 hours of self-practice.
The course is spread over 5 weeks, 4 hours a week, plus two hours of additional sessions within six weeks.
Starting from Jan 25, 2025. Each Saturday (7:00 AM – NT) and Sunday (7:30 PM – NT)
A full schedule will be provided before the session begins.
Training/program approach
Course fee
Nepal: NPR 8,000.00
USA: USD 100
Australia: AUD 200
Canada: CAD 100
Course Instructors
Rajendra Pangeni, PhD (Cancer Biology/Genomics)
Tara Sigdel, PhD (Biomarkers discovery)
Saroj Sah, PhD (Molecular Biology)
Jeebana Bhandari, MS (Applied Biological Sciences)
Milan Bimali, PhD (Biostatistics)
Yaman Thapa, MS (Computational Biology)
Course Syllabus
Week 1 Course Introduction and orientation
-Program/Course orientation-2 hour
Group introduction and course overview
Allocation of individual plans (accession numbers/genes of interests to work on)
-Basics of Genomics, Transcriptomics, Proteomics, and Metabolomics and their relevance in bioinformatics-2 hour
Week 2 Bioinformatics databases and tools
-Databases and tools to analyze a gene/protein of interest-2 hour
Gene/protein structure, Open reading frame (ORF), sequence formats/FASTA etc-
–Pairwise and multiple sequence Analyses-2 hour
Week 3: Bioinformatics tools in laboratory-based research works
-Sequence similarity searching (eg. BLAST) -2 hour
-Detecting/determining mutation/expression of a gene of interest -2 hour
Primer design to detect the expression at mRNA level (qRT)
Week 4: Biostatistics and Bioinformatics tools
-Exploring available disease databases (mutation, expression and DNA methylation etc.) 2hour
-Applying clustering techniques to identify upregulated and downregulated genes-2hour
Week 5: Gene set enrichment analyses, Pathways, Biostatistics and specialized future offerings
-Introduction to the Biostatistics-1 hour
Statistics applied in data analyses, and why we determine statistical significance in experiments and databases.
-Gene enrichment analysis, pathway analysis-1.5 hour
-Individual/group presentations and Further learnings-1.5 hour
Application Deadline: Jan 15, 2024
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