Bioinformatics

Bioinformatics brings together biology, computer science and statistics to make sense of biological data. Its raw material includes DNA and protein sequences, gene activity measurements, protein structures and the notes, called annotations, that record what each sequence is known to do. Much of this information sits in large public databases that anyone can search.

The field became essential once DNA sequencing grew fast and cheap. Reading a genome is no longer the hard part; interpreting billions of letters is. Typical tasks include comparing sequences to find related genes, assembling short sequencing reads into whole genomes, predicting protein shape and function, spotting variants linked to disease and building evolutionary trees. Because the datasets are so large, the work depends on algorithms, programming and careful statistics rather than inspection by eye.

Students usually first meet bioinformatics when they paste a sequence into a search tool such as BLAST, open a FASTA file or browse a genome online. In medicine it supports genetic diagnosis and the study of disease, and in research it helps decide which experiments are worth doing at the bench.