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Comparative genomics: digging for data.

Authors: Matthew B, Avison;

Comparative genomics: digging for data.

Abstract

Comparative genomics is a science in its infancy. It has been driven by a huge increase in freely available genome-sequence data, and the development of computer techniques to allow whole-genome sequence analyses. Other approaches, which use hybridization as a method for comparing the gene content of related organisms, are rising alongside these more bioinformatic methods. All these approaches have been pioneered using bacterial genomes because of their simplicity and the large number of complete genome sequences available. The aim of bacterial comparative genomics is to determine what genotypic differences are important for the expression of particular traits. The benefits of such studies will be a deeper understanding of these phenomena; the possibility of exposing novel drug targets, including those for antivirulence drugs; and the development of molecular techniques that reveal patients who are infected with virulent organisms so that health care resources can be allocated appropriately. With more and more genome sequences becoming available, the rise of comparative genomics continues apace.

Related Organizations
Keywords

Bacteriological Techniques, Bacteria, Base Sequence, Escherichia coli, Computational Biology, Nucleic Acid Hybridization, Genomics, Genome, Bacterial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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