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VLDB 2026 Research / reviewers in the wild / expert

Kyle M. Allain

dblp:303/5242 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—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
gel electrophoresis		 0.011995
Accurate determination of DNA in agarose gels using the novel algorithm GelScann(1.0) · Comput. Appl. Biosci. 1995
Bioinformatics and computational biology › bioinformatics infrastructure
molecular biology software		 0.011995
Accurate determination of DNA in agarose gels using the novel algorithm GelScann(1.0) · Comput. Appl. Biosci. 1995

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

statistical discrimination · 0.0
YearPublicationVenuePosition
1995 Accurate determination of DNA in agarose gels using the novel algorithm GelScann(1.0)
abstract
GelScann(1.0) is a user-friendly program that accurately quantitates DNA from CCD imaged agarose gels. The algorithm automatically locates lanes, locates bands within a given lane, and quantitates the intensity of each band. GelScann (1.0) uses a statistical method to discriminate DNA from local background fluorescence. The sensitivity of the LaneFinder and BandFinder can be adjusted by the user interacting with GelScann (1.0)'s option box. We demonstrate that GelScann(1.0) can accurately determine DNA that GelScann(1.0) can accurately determine DNA concentrations for routine molecular biology applications and determine the relative intensities of PCR amplified fragments for genetic testing.
Michael L. Metzker, Kyle M. Allain, Richard A. Gibbs
 Comput. Appl. Biosci.2