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Jonathan M. Dugan

dblp:04/2569 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 2 · 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%
Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
molecular evolution		 0.012002
Synonymous-non-synonymous mutation rates between sequences containing ambiguous nucleotides (Syn-SCAN) · Bioinform. 2002
Machine learning › Probabilistic and Bayesian machine learning
statistical genetics		 0.012002
Synonymous-non-synonymous mutation rates between sequences containing ambiguous nucleotides (Syn-SCAN) · Bioinform. 2002

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

codon substitution model · 0.1allelic mixture model · 0.1
YearPublicationVenuePosition
2002 Synonymous-non-synonymous mutation rates between sequences containing ambiguous nucleotides (Syn-SCAN)
abstract
SUMMARY: Direct PCR sequencing on genetic material containing allelic mixtures results in sequences containing ambiguous nucleotides. Because codons exhibiting allelic mixtures present evidence of evolutionary pressure, it is important to include this information in the assessment of codon synonymy. We developed a program, 'Synonymous-Nonsynonymous Mutation Rates between Sequences Containing Ambiguous Nucleotides' (Syn-SCAN), that calculates synonymous and non-synonymous substitution rates using a model that includes allelic mixtures. AVAILABILITY: Syn-SCAN is implemented on the web and can be downloaded from http://hivdb.stanford.edu.
Matthew J. Gonzales, Jonathan M. Dugan, Robert W. Shafer
 Bioinform.2
1999 Automation and integration of components for generalized semantic markup of electronic medical texts
Jonathan M. Dugan, Daniel C. Berrios, Xiaole Liu, David K. Kim, Herbert Kaizer, Lawrence M. Fagan
 AMIA1