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Eli Venter

dblp:74/7067 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.112008
Aggressive assembly of pyrosequencing reads with mates · Bioinform. 2008
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
hybrid assembly
0.112008
Aggressive assembly of pyrosequencing reads with mates · Bioinform. 2008
Bioinformatics and computational biology › sequence analysis › sequence assembly
whole-genome shotgun assembly
0.112008
Aggressive assembly of pyrosequencing reads with mates · Bioinform. 2008

Methods — techniques the papers use, named apart from their topics

overlap graph · 0.1
YearPublicationVenuePosition
2008 Aggressive assembly of pyrosequencing reads with mates
abstract
MOTIVATION: DNA sequence reads from Sanger and pyrosequencing platforms differ in cost, accuracy, typical coverage, average read length and the variety of available paired-end protocols. Both read types can complement one another in a 'hybrid' approach to whole-genome shotgun sequencing projects, but assembly software must be modified to accommodate their different characteristics. This is true even of pyrosequencing mated and unmated read combinations. Without special modifications, assemblers tuned for homogeneous sequence data may perform poorly on hybrid data. RESULTS: Celera Assembler was modified for combinations of ABI 3730 and 454 FLX reads. The revised pipeline called CABOG (Celera Assembler with the Best Overlap Graph) is robust to homopolymer run length uncertainty, high read coverage and heterogeneous read lengths. In tests on four genomes, it generated the longest contigs among all assemblers tested. It exploited the mate constraints provided by paired-end reads from either platform to build larger contigs and scaffolds, which were validated by comparison to a finished reference sequence. A low rate of contig mis-assembly was detected in some CABOG assemblies, but this was reduced in the presence of sufficient mate pair data. AVAILABILITY: The software is freely available as open-source from http://wgs-assembler.sf.net under the GNU Public License.
Jason R. Miller, Arthur L. Delcher, Sergey Koren, Eli Venter, Brian Walenz, Anushka Brownley, Justin Johnson 0002, Kelvin Li, Clark M. Mobarry, Granger G. Sutton
Bioinform.4