This cutting-edge training program is tailored for learners who want to work at the intersection of biology and data science. Dive into genomic analysis using real NGS datasets and tools used in modern research and diagnostics.
Our curriculum begins with the biological foundations of DNA, RNA, and protein synthesis before diving into sequencing technologies like Illumina and Oxford Nanopore. You’ll learn quality control, trimming, alignment (BWA/Bowtie), variant calling (GATK), and annotation using tools like VEP and SnpEff.
We teach you how to work with public databases (NCBI, ENA, Ensembl) and build pipelines using Python, R, and shell scripting. Ideal for researchers, postgraduates, and biotech professionals, this course provides not only tools but also research methodology and data interpretation skills.
Basic coding helps, but we teach scripting as part of the course.
Yes. We use public and anonymized clinical data in practical sessions.
Both. It’s aligned with research protocols and biotech industry requirements.
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