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Bioinformatics
Article . 2007 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Bioinformatics
Article
License: implied-oa
Data sources: UnpayWall
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Bioinformatics
Article . 2008
DBLP
Article
Data sources: DBLP
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Assembly reconciliation

Authors: Aleksey V. Zimin; Douglas R. Smith; Granger G. Sutton; James A. Yorke;
Abstract

Abstract Motivation: Many genomes are sequenced by a collaboration of several centers, and then each center produces an assembly using their own assembly software. The collaborators then pick the draft assembly that they judge to be the best and the information contained in the other assemblies is usually not used. Methods: We have developed a technique that we call assembly reconciliation that can merge draft genome assemblies. It takes one draft assembly, detects apparent errors, and, when possible, patches the problem areas using pieces from alternative draft assemblies. It also closes gaps in places where one of the alternative assemblies has spanned the gap correctly. Results: Using the Assembly Reconciliation technique, we produced reconciled assemblies of six Drosophila species in collaboration with Agencourt Bioscience and The J. Craig Venter Institute. These assemblies are now the official (CAF1) assemblies used for analysis. We also produced a reconciled assembly of Rhesus Macaque genome, and this assembly is available from our website http://www.genome.umd.edu. Availability: The reconciliation software is available for download from http://www.genome.umd.edu/software.htm Contact: alekseyz@ipst.umd.edu

Related Organizations
Keywords

Contig Mapping, Genome, Base Sequence, Molecular Sequence Data, Chromosome Mapping, Sequence Analysis, DNA, Sequence Alignment, Algorithms

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citations
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!
62
Top 10%
Top 10%
Top 10%
gold