New developments in ancient genomics

C D Millar; L Huynen; Sankar Subramanian; E Mohandesan; D M Lambert

doi:10.1016/j.tree.2008.04.002

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Journal article

Peer reviewed

New developments in ancient genomics

C D Millar, L Huynen, Sankar Subramanian, E Mohandesan and D M Lambert

Trends in ecology & evolution, Vol.23(7), pp.386-393

2008

DOI: https://doi.org/10.1016/j.tree.2008.04.002

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Abstract

genomics

DNA sequence data

ancient genomics

Ancient DNA research is on the crest of a 'third wave' of progress due to the introduction of a new generation of DNA sequencing technologies. Here we review the advantages and disadvantages of the four new DNA sequencers that are becoming available to researchers. These machines now allow the recovery of orders of magnitude more DNA sequence data, albeit as short sequence reads. Hence, the potential reassembly of complete ancient genomes seems imminent, and when used to screen libraries of ancient sequences, these methods are cost effective. This new wealth of data is also likely to herald investigations into the functional properties of extinct genes and gene complexes and will improve our understanding of the biological basis of extinct phenotypes. © 2008 Elsevier Ltd. All rights reserved.

Details

Title: New developments in ancient genomics
Authors: C D Millar (Author) - University of Auckland, New Zealand
L Huynen (Author) - Massey University, New Zealand
Sankar Subramanian (Author) - Massey University, New Zealand
E Mohandesan (Author) - Massey University, New Zealand
D M Lambert (Author) - Massey University, New Zealand
Publication details: Trends in ecology & evolution, Vol.23(7), pp.386-393
Publisher: Elsevier Ltd.
Date published: 2008
DOI: 10.1016/j.tree.2008.04.002
ISSN: 0169-5347
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
Language: English
Record Identifier: 99451150902621
Output Type: Journal article

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Web Of Science research areas: Ecology; Evolutionary Biology; Genetics & Heredity

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