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Timothy J. Snelling

dblp:243/2646 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved

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 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › metagenomics › metagenome-assembled genome
metagenome-assembled genome analysis
0.412019
MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs) · Bioinform. 2019
Bioinformatics and computational biology
metagenomics
0.412019
MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs) · Bioinform. 2019
Bioinformatics and computational biology
phylogenetics
0.112019
MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs) · Bioinform. 2019
Bioinformatics and computational biology › phylogenetics
phylogenetic inference
0.112019
MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs) · Bioinform. 2019

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

reproducible pipeline · 0.4
YearPublicationVenuePosition
2019 MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs)
abstract
MOTIVATION: Metagenomics is a powerful tool for assaying the DNA from every genome present in an environment. Recent advances in bioinformatics have enabled the rapid assembly of near-complete metagenome-assembled genomes (MAGs), and there is a need for reproducible pipelines that can annotate and characterize thousands of genomes simultaneously, to enable identification and functional characterization. RESULTS: Here we present MAGpy, a scalable and reproducible pipeline that takes multiple genome assemblies as FASTA and compares them to several public databases, checks quality, suggests a taxonomy and draws a phylogenetic tree. AVAILABILITY AND IMPLEMENTATION: MAGpy is available on github: https://github.com/WatsonLab/MAGpy. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Robert D. Stewart, Marc D. Auffret, Timothy J. Snelling, Rainer Roehe, Mick Watson
Bioinform.3