Bioinformatics sits at the intersection of biology, computer science, and statistics, providing the computational tools needed to decode the vast datasets generated by modern genomics and proteomics. From aligning DNA sequences to reconstructing evolutionary trees, these algorithms transform raw biological data into actionable biological insight.
These simulations let you perform Needleman-Wunsch global sequence alignment, build UPGMA phylogenetic trees from distance matrices, explore protein folding energy landscapes, analyze differential gene expression from RNA-seq count data, and assemble genomes from short reads using de Bruijn graph methods — all with interactive, real-time visualizations.