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Christopher N. Larsen

dblp:41/4925 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-1051-5767ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › microbiology
virology
0.412020
Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families · Bioinform. 2020
Bioinformatics and computational biology › sequence alignment
pairwise sequence alignment
0.112020
Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families · Bioinform. 2020
Bioinformatics and computational biology
sequence analysis
0.112020
Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families · Bioinform. 2020

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

pairwise alignment · 0.4
YearPublicationVenuePosition
2020 Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families
abstract
MOTIVATION: Sequence repositories have few well-annotated virus mature peptide sequences. Therefore post-translational proteolytic processing of polyproteins into mature peptides (MPs) has been performed in silico, with a new computational method, for over 200 species in 5 pathogenic virus families (Caliciviridae, Coronaviridae, Flaviviridae, Picornaviridae and Togaviridae). RESULTS: Using pairwise alignment with reference sequences, MPs have been annotated and their sequences made available for search, analysis and download. At publication the method had produced 156 216 sequences, a large portion of the protein sequences now available in https://www.viprbrc.org. It represents a new and comprehensive mature peptide collection. AVAILABILITY AND IMPLEMENTATION: The data are available at the Virus Pathogen Resource https://www.viprbrc.org, and the software at https://github.com/VirusBRC/vipr_mat_peptide.
Christopher N. Larsen, Sam Zaremba, Hongtao Zhao, Sherry He, Liwei Zhou, Vincent Desborough, Edward B. Klem
Bioinform.1