Biostatistics The Biostatistics groups at the University of Helsinki represent the forefront of methodological research in life sciences in Finland.
Software produced by Biostatistics groups. Highlighted software BAPS: software for Bayesian Analysis of genetic Population Structure BIB: Bayesian Identification of Bacterial strains from sequencing data biMM: Efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements. BitSeq: Transcript isoform level expression and differential expression estimation for RNA-seq BRATNextGen: software for Bayesian modeling of recombination events based on whole-genome data FINEMAP: Efficient variable selection using summary data from genome-wide association studies. genomeDCA: software for inferring epistatic interactions from bacterial population genomic data. GPstuff: Gaussian process models for Bayesian analysis SEER: software for bacterial pangenomic GWAS.