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Matthew A Cleveland

dblp:370/5953 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 › metagenomics
functional profiling
0.712023
KOunt: a reproducible KEGG orthologue abundance workflow · Bioinform. 2023
Bioinformatics and computational biology
metagenomics
0.712023
KOunt: a reproducible KEGG orthologue abundance workflow · Bioinform. 2023
Bioinformatics and computational biology › genome annotation
gene prediction
0.212023
KOunt: a reproducible KEGG orthologue abundance workflow · Bioinform. 2023

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

snakemake pipeline · 0.7
YearPublicationVenuePosition
2023 KOunt: a reproducible KEGG orthologue abundance workflow
abstract
SUMMARY: Accurate gene prediction is essential for successful metagenome analysis. We present KOunt, a Snakemake pipeline, that precisely quantifies KEGG orthologue abundance. AVAILABILITY AND IMPLEMENTATION: KOunt is available on GitHub: https://github.com/WatsonLab/KOunt. The KOunt reference database is available on figshare: https://doi.org/10.6084/m9.figshare.21269715. Test data are available at https://doi.org/10.6084/m9.figshare.22250152 and version 1.2.0 of KOunt at https://doi.org/10.6084/m9.figshare.23607834.
Jennifer Mattock, Marina Martínez-Álvaro, Matthew A Cleveland, Rainer Roehe, Mick Watson
Bioinform.3