Author

Marc D. Auffret

Scotland's Rural CollegeORCID 0000-0002-2321-8219Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:experimental assay· 2 Assay:metagenomics· 2 Organism:bacteria (other)· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Mick WatsoniD· 3 shared R. RoeheiD· 2 shared Timothy J. SnellingiD· 2 shared Alan W. WalkeriD· 1 shared Amanda WarriD· 1 shared Rainer Roehe· 1 shared Richard James DewhurstiD· 1 shared Rob D. Stewart· 1 shared

Activity by Year

2017-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Mick WatsonORCID

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3 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedNov 10, 2018

MAGpy: a reproducible pipeline for the downstream analysis of metagenome-assembled genomes (MAGs)

Robert D Stewart, Marc D. Auffret, Timothy J. Snelling…·Mick Watson

MAGpy is a Snakemake pipeline that annotates and characterizes metagenome-assembled genomes by comparing them to public databases and performing quality checks and phylogenetic analysis.

39 citations

metagenomicsexperimental assay

𝕏 PostBluesky

MicrobiologybioRxivPreprintSep 18, 2018

Open prediction of polysaccharide utilisation loci (PUL) in 5414 public Bacteroidetes genomes using PULpy

Rob D. Stewart, Marc D. Auffret, Rainer Roehe, Mick Watson

The paper predicts polysaccharide utilisation loci (PUL) in 5414 Bacteroidetes genomes using an open-source pipeline.

DOI 10.1101/421024

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

GenomicsbioRxivPreprintJul 13, 2017

Assembly of hundreds of microbial genomes from the cow rumen reveals novel microbial species encoding enzymes with roles in carbohydrate metabolism

Robert Stewart, Marc D. Auffret, Amanda Warr…·Mick Watson

The paper assembles 220 high-quality microbial genomes from cow rumen metagenomic data, revealing novel species with carbohydrate metabolism enzymes and improving metagenomic classification.

3 citations

metagenomicsstatistical model

𝕏 PostBluesky