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Dawn M. Klingeman

dblp:151/5705 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-4307-2560ORCID · reported

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
de novo assembly evaluation
0.212014
Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences · Bioinform. 2014
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.212014
Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences · Bioinform. 2014
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
hybrid assembly
0.212014
Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences · Bioinform. 2014

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

pacbio sequencing · 0.2in silico evaluation · 0.2illumina sequencing · 0.2454 sequencing · 0.2
YearPublicationVenuePosition
2014 Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences
abstract
MOTIVATION: To assess the potential of different types of sequence data combined with de novo and hybrid assembly approaches to improve existing draft genome sequences. RESULTS: Illumina, 454 and PacBio sequencing technologies were used to generate de novo and hybrid genome assemblies for four different bacteria, which were assessed for quality using summary statistics (e.g. number of contigs, N50) and in silico evaluation tools. Differences in predictions of multiple copies of rDNA operons for each respective bacterium were evaluated by PCR and Sanger sequencing, and then the validated results were applied as an additional criterion to rank assemblies. In general, assemblies using longer PacBio reads were better able to resolve repetitive regions. In this study, the combination of Illumina and PacBio sequence data assembled through the ALLPATHS-LG algorithm gave the best summary statistics and most accurate rDNA operon number predictions. This study will aid others looking to improve existing draft genome assemblies. AVAILABILITY AND IMPLEMENTATION: All assembly tools except CLC Genomics Workbench are freely available under GNU General Public License. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Sagar M. Utturkar, Dawn M. Klingeman, Miriam L. Land, Christopher W. Schadt, Mitchel J. Doktycz, Dale A. Pelletier, Steven D. Brown
Bioinform.2