- Bayesian Methods and Mixture Models
- Genomics and Phylogenetic Studies
- Evolution and Genetic Dynamics
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Pneumonia and Respiratory Infections
- Gene expression and cancer classification
- Bacterial Infections and Vaccines
Helsinki Institute for Information Technology
2017-2019
University of Helsinki
2017-2019
Statistics Finland
2017-2018
Aalto University
2017-2018
Covariance-based discovery of polymorphisms under co-selective pressure or epistasis has received considerable recent attention in population genomics. Both statistical modeling the level covariation alleles across chromosome and model-free testing dependencies between pairs have been shown to successfully uncover patterns selection bacterial populations. Here we introduce a method, SpydrPick, whose computational efficiency enables analysis at scale pan-genomes many bacteria. SpydrPick...
Abstract Summary The advent of genomic data from densely sampled bacterial populations has created a need for flexible simulators by which models and hypotheses can be efficiently investigated in the light empirical observations. Bacmeta provides fast stochastic simulation neutral evolution within large collection interconnected with completely adjustable connectivity network. Stochastic events mutations, recombinations, insertions/deletions, migrations micro-epidemics simulated discrete...
ABSTRACT Discovery of polymorphisms under co-selective pressure or epistasis has received considerable recent attention in population genomics. Both statistical modeling the level co-variation alleles across chromosome and model-free testing dependencies between pairs have been shown to successfully uncover patterns selection bacterial populations. Here we introduce a method, SpydrPick, whose computational efficiency enables analysis at scale pan-genomes many bacteria. SpydrPick incorporates...
Abstract The advent of genomic data from densely sampled bacterial populations has created a need for flexible simulators by which models and hypotheses can be efficiently investigated in the light empirical observations. Bacmeta provides fast stochastic simulation neutral evolution within large collection interconnected with completely adjustable connectivity network. Stochastic events mutations, recombinations, insertions/deletions, migrations microepidemics simulated discrete...