Author

S. T. Calus

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· 3

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

U. Z. Ijaz· 3 shared A. J. Pinto· 2 shared A. M. Eren· 2 shared M. C. Sevillano· 2 shared P. W. J. J. van der Wielen· 2 shared Z. Dai· 2 shared A. Pinto· 1 shared Q. M. Bautista de los Santos· 1 shared

Activity by Year

2018-2019 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

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3 shared papersMicrobiology

U. Z. Ijaz

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Disinfection exhibits systematic impacts on the drinking water microbiome.

Z. Dai, M. C. Sevillano, S. T. Calus, Q. M. Bautista-de los Santos, A. M. Eren, P. W. J. J. van der Wielen, U. Z. Ijaz, A. J. Pinto

This study compares the impact of disinfection and nutrient limitation on drinking water microbiomes, finding that disinfection reduces diversity and selects for microorganisms using decay products.

bioRxiv · Nov 2, 2019Microbiology

Disinfectant residuals in drinking water systems select for mycobacterial populations with intrinsic antimicrobial resistance.

M. C. Sevillano, Z. Dai, S. T. Calus, Q. M. Bautista de los Santos, A. M. Eren, U. Z. Ijaz, P. W. J. J. van der Wielen, A. Pinto

This study shows that disinfectant residuals in drinking water systems are linked to higher prevalence of antimicrobial resistance genes in nontuberculous mycobacteria.

bioRxiv · Jun 20, 2019 · PreprintMicrobiology

NanoAmpli-Seq: A workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

S. T. Calus, U. Z. Ijaz, A. J. Pinto

NanoAmpli-Seq improves amplicon sequencing accuracy and efficiency for nanopore platforms, achieving 99.5% sequence accuracy for 16S rRNA gene sequencing.

GigaScience · Nov 23, 2018Peer-reviewedMicrobiology