Author

A. C. Schurch

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Organism:E. coli· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

S. Arredondo-Alonso· 2 shared J. C. Braat· 1 shared J. Corander· 1 shared J. Top· 1 shared M. R. C. Rogers· 1 shared R. J. L. Willems· 1 shared R. J. Willems· 1 shared T. D. Verschuuren· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersMicrobiology

S. Arredondo-Alonso

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2 papers

Recent·Most cited

mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species

S. Arredondo-Alonso, M. R. C. Rogers, J. C. Braat, T. D. Verschuuren, J. Top, J. Corander, R. J. L. Willems, A. C. Schurch

The paper introduces mlplasmids, an SVM-based tool to classify short-read WGS contigs as plasmid- or chromosome-derived in bacterial species, achieving high accuracy across three species.

bioRxiv · May 23, 2018Microbiology

On the (im)possibility to reconstruct plasmids from whole genome short-read sequencing data

S. Arredondo-Alonso, W. van Schaik, R. J. Willems, A. C. Schurch

This study evaluates plasmid reconstruction algorithms from short-read sequencing data using reference genomes, finding that none fully and unambiguously predict plasmid sequences, with performance varying by plasmid size and assembly quality.

bioRxiv · Mar 28, 2017Microbiology