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Genomics via optical mapping. III: Contiging genomic DNA.

Authors: Thomas S. Anantharaman; Bud Mishra; David C. Schwartz;

Genomics via optical mapping. III: Contiging genomic DNA.

Abstract

In this paper, we describe our algorithmic approach to constructing an alignment of (contiging) a set of restriction maps created from the images of individual genomic (uncloned) DNA molecules digested by restriction enzymes. Generally, these DNA segments are sized in the range of 1-4 Mb. The goal is to devise contiging algorithms capable of producing high-quality composite maps rapidly and in a scaleable manner. The resulting software is a key component of our physical mapping automation tools and has been used to create complete maps of various microorganisms (E. coli, P. falciparum and D. radiodurans). Experimental results match known sequence data.

Related Organizations
Keywords

Models, Statistical, Genome, Human, Restriction Mapping, Reproducibility of Results, Bayes Theorem, DNA, Sensitivity and Specificity, Contig Mapping, Humans, Algorithms, Software

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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!
29
Top 10%
Top 10%
Average
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