Published January 30, 2007 | Version Submitted + Published
Journal Article Open

The Mathematics of Phylogenomics

Abstract

The grand challenges in biology today are being shaped by powerful high‐throughput technologies that have revealed the genomes of many organisms, global expression patterns of genes, and detailed information about variation within populations. We are therefore able to ask, for the first time, fundamental questions about the evolution of genomes, the structure of genes and their regulation, and the connections between genotypes and phenotypes of individuals. The answers to these questions are all predicated on progress in a variety of computational, statistical, and mathematical fields. The rapid growth in the characterization of genomes has led to the advancement of a new discipline called phylogenomics. This discipline results from the combination of two major fields in the life sciences: genomics, i.e., the study of the function and structure of genes and genomes; and molecular phylogenetics, i.e., the study of the hierarchical evolutionary relationships among organisms and their genomes. The objective of this article is to offer mathematicians a first introduction to this emerging field, and to discuss specific mathematical problems and developments arising from phylogenomics.

Additional Information

© 2007 Society for Industrial and Applied Mathematics. Received by the editors May 29, 2005; accepted for publication (in revised form) September 30, 2005; published electronically January 30, 2007. The first author was supported by a grant from the NIH (R01- HG2362-3), a Sloan Foundation Research Fellowship, and an NSF CAREER award (CCF-0347992). The second author was supported by the NSF (DMS-0200729, DMS-0456960). The vertebrate whole genome alignments we have analyzed were assembled by Nicolas Bray and Colin Dewey. We also thank Sourav Chatterji and Von Bing Yap for their help in searching through the alignments.

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Additional details

Identifiers

Eprint ID
74830
Resolver ID
CaltechAUTHORS:20170307-085456375

Related works

Funding

NIH
R01-HG2362-3
Alfred P. Sloan Foundation
NSF
CCF-0347992
NSF
DMS-0200729
NSF
DMS-0456960

Dates

Created
2017-03-07
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Updated
2021-11-11
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