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Shaun P. Wilkinson

dblp:229/4702 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0002-7332-7931ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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 › sequence analysis
profile hidden markov model		 0.412019
aphid: an R package for analysis with profile hidden Markov models · Bioinform. 2019
Bioinformatics and computational biology
sequence analysis		 0.412019
aphid: an R package for analysis with profile hidden Markov models · Bioinform. 2019

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

parallelization · 0.4dynamic programming · 0.4
YearPublicationVenuePosition
2019 aphid: an R package for analysis with profile hidden Markov models
abstract
SUMMARY: Hidden Markov models (HMMs) and profile HMMs form an integral part of biological sequence analysis, supporting an ever-growing list of applications. The aphid R package can be used to derive, train, plot, import and export HMMs and profile HMMs in the R environment. Computationally-intensive dynamic programing recursions, such as the Viterbi, forward and backward algorithms are implemented in C++ and parallelized for increased speed and efficiency. AVAILABILITY AND IMPLEMENTATION: The aphid package is released under the GPL-3 license, and is freely available for download from CRAN and GitHub (https://github.com/shaunpwilkinson/aphid). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Shaun P. Wilkinson
 Bioinform.1