Dimensionality and dependence problems in statistical genomics.
Genome studies have become central to a wide range of biological areas. This paper is intended to discuss the state of art and potentiality of using statistics in genome comparison. The problem of dependence and dimensionality in genome data is addressed first. The focus is on using phylogenetic methods in genome comparison, on combining sequence and gene expression data to find transcription sites, and on multiple hypothesis testing in gene expression data. The paper concludes with speculations on the future course of statistical and bioinformatics analyses.
Liò
Pietro
P
EMBL-EBI European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, UK. pietrol@ebi.ac.uk
D000818:Animals; D001482:Base Composition; D002843:Chromatin / Q000235:genetics; D019295:Computational Biology; D019143:Evolution, Molecular; D005786:Gene Expression Regulation; D016678:Genome; D023281:Genomics / Q000706:statistics & numerical data*; D006801:Humans; D016013:Likelihood Functions; D008957:Models, Genetic; D010802:Phylogeny; D024363:Transcription Initiation Site
D002843:Chromatin