Aleksi Sipola

ORCID: 0000-0003-4623-0410
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About
Contact & Profiles
Research Areas
  • 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...

10.1093/nar/gkz656 article EN cc-by Nucleic Acids Research 2019-07-24

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...

10.1093/bioinformatics/bty093 article EN Bioinformatics 2018-02-20

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...

10.1101/523407 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-01-17

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...

10.1101/175257 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-08-11
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