RT Journal Article
SR Electronic
T1 Rearrangement Scenarios Guided by Chromatin Structure
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 137323
DO 10.1101/137323
A1 Sylvain Pulicani
A1 Pijus Simonaitis
A1 Krister M. Swenson
YR 2017
UL http://biorxiv.org/content/early/2017/05/12/137323.abstract
AB Genome architecture can be drastically modified through a succession of large-scale rearrangements. In the quest to infer accurate ancestral rearrangement scenarios, it is often the case that parsimony principal alone does not impose enough constraints. Thus, the current challenge is to consider more biological information in the inference process. In previous work, we introduced a model for such a task, based on a partition into equivalence classes of the adjacencies between genes. Such a partition is amenable to the representation of spacial constraints as given by Hi-C data. A major open question is the validity of such a model. In this note, we show that the quality of a clustering of the adjacencies based on Hi-C data is directly correlated to the quality of a rearrangement scenario that we compute between Drosophila melanogaster and D. yakuba.