Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Joseph D. Sheets

dblp:152/7468 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
riboswitch detection
0.212014
A new approach for detecting riboswitches in DNA sequences · Bioinform. 2014
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure analysis
0.212014
A new approach for detecting riboswitches in DNA sequences · Bioinform. 2014

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

heaviest path · 0.2dynamic programming · 0.2
YearPublicationVenuePosition
2014 A new approach for detecting riboswitches in DNA sequences
abstract
MOTIVATION: Riboswitches are short sequences of messenger RNA that can change their structural conformation to regulate the expression of adjacent genes. Computational prediction of putative riboswitches can provide direction to molecular biologists studying riboswitch-mediated gene expression. RESULTS: The Denison Riboswitch Detector (DRD) is a new computational tool with a Web interface that can quickly identify putative riboswitches in DNA sequences on the scale of bacterial genomes. Riboswitch descriptions are easily modifiable and new ones are easily created. The underlying algorithm converts the problem to a 'heaviest path' problem on a multipartite graph, which is then solved using efficient dynamic programming. We show that DRD can achieve ∼ 88-99% sensitivity and >99.99% specificity on 13 riboswitch families. AVAILABILITY AND IMPLEMENTATION: DRD is available at http://drd.denison.edu.
Jessen T. Havill, Chinmoy Bhatiya, Steven M. Johnson, Joseph D. Sheets, Jeffrey S. Thompson
Bioinform.4