We develop computational methods to compare and classify data pouring out from genome sequencing and structural genomics projects. For example, we have developed an ultrafast database search method which enables high-throughput functional and taxonomic assignment as well as error detection and correction based on a consensus over homologues. We have expertise in big data, data science, evolutionary classification, and software development.
Our main research directions are:
- Development and evaluation of methods for multiclass multi-label classification tasks exemplified by automated function prediction (AFP)
- Functional and taxonomic identification applied to genomes, metagenomes, and antimicrobial resistance (AMR)
- Structural bioinformatics (Dali server)
Read more about the group's research:
Contact
Liisa Holm, PhD
Professor, PI
Institute of Biotechnology, HiLIFE
Biocenter 2, room 4005
P.O. Box 56 (Viikinkaari 5D)
00014 University of Helsinki
Finland