A simple, fast, and biologically-inspired computational approach to infer genome-scale rearrangement phylogeny and ancestral gene order has been developed and applied to eight Drosophila genomes, providing insights into evolutionary chromosomal dynamics

Bhutkar, Arjun

Gelbart, William M

Smith, Temple F

Genome Biology

English

PubMed

Arjun  Bhutkar

William M Gelbart

Temple F Smith

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Inferring genome-scale rearrangement phylogeny and ancestral gene order: a Drosophila case study

Arjun Bhutkar

Springer - Publisher Connector

A simple, fast, and biologically inspired computational approach for inferring genome-scale rearrangement phylogeny and ancestral gene order has been developed. This has been applied to eight Drosophila genomes. Existing techniques are either limited to a few hundred markers or a small number of taxa. This analysis uses over 14,000 genomic loci and employs discrete elements consisting of pairs of homologous genetic elements. The results provide insight into evolutionary chromosomal dynamics and synteny analysis, and inform speciation studies

Gelbart, William M.

Smith, Temple F.

Boston University Institutional Repository (OpenBU)

Inferring Genome-Scale Rearrangement Phylogeny and Ancestral Gene Order: A Drosophila Case Study

Name not available

A simple, fast, and biologically-inspired computational approach to infer genome-scale rearrangement phylogeny and ancestral gene order has been developed and applied to eight Drosophila genomes, providing insights into evolutionary chromosomal dynamics.Molecular and Cellular Biolog

Gelbart, William Martin

Harvard University - DASH 

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https://open.bu.edu/bitstream/2144/2840/1/gb-2007-8-11-r236.pdf

Inferring genome-scale rearrangement phylogeny and ancestral gene order: a Drosophila case study

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