Lab in Computational Biology

3.00 points · University catalogue

Hands-on experience addressing real-world biological questions through computational approaches. Biological data analysis for genomic, transcriptomic, and metagenomic data, using bioinformatics tools and pipelines for problems such as for sequence alignment, variant calling, and RNA-seq analysis. Topics include data processing, public database usage, genome assembly, metagenomic classification, and ethical considerations in genomics.