Investigating selection on viruses: a statistical alignment approach.
BACKGROUND: Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading frame can bias our estimates of neutral mutation rates in another reading frame. Secondly, the high mutation rates we are li...
Main Authors: | de Groot, S, Mailund, T, Lunter, G, Hein, J |
---|---|
Format: | Journal article |
Language: | English |
Published: |
BioMed Central
2008
|
Similar Items
-
Investigating selection on viruses: a statistical alignment approach
by: Lunter Gerton, et al.
Published: (2008-07-01) -
An efficient algorithm for statistical multiple alignment on arbitrary phylogenetic trees.
by: Lunter, G, et al.
Published: (2003) -
Genome-wide functional element detection using pairwise statistical alignment outperforms multiple genome footprinting techniques.
by: Satija, R, et al.
Published: (2010) -
Annotation of selection strengths in viral genomes.
by: McCauley, S, et al.
Published: (2007) -
A simulation-based approach to statistical alignment
by: Levy Karin, E, et al.
Published: (2018)