Author

Theo Lasser

École Polytechnique Fédérale de LausanneORCID 0000-0002-4948-7580Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Tomáš Lukeš· 2 shared Adrien C. DesclouxiD· 1 shared Aleksandra RađenovićiD· 1 shared Arno BouwensiD· 1 shared Cyril RuckebuschiD· 1 shared Dimitri Van De VilleiD· 1 shared Doortje BorrenberghsiD· 1 shared Guy M. HageniD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenomics

Tomáš Lukeš

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Identifying microbial species by single-molecule DNA optical mapping and resampling statistics

Arno Bouwens, Jochem Deen, Raffaele Vitale, Laurens D’Huys, Vince Goyvaerts, Adrien C. Descloux, Doortje Borrenberghs, Kristin S. Grußmayer, Tomáš Lukeš, Rafael Camacho, Jia Quan Su, Cyril Ruckebusch, Theo Lasser, Dimitri Van De Ville, Johan Hofkens, , Kris P. F. Janssen

This study improves the sensitivity and specificity of microbial species identification using single-molecule DNA optical mapping and resampling statistics.

NAR Genomics and Bioinformatics · Oct 5, 2019Peer-reviewedGenomics

Quantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors

Tomáš Lukeš, Jakub Pospíšil, Karel Fliegel, Theo Lasser, Guy M. Hagen

The paper provides four publicly available YFP-tagged growth factor receptor SMLM datasets and compares analysis methods, highlighting challenges in YFP data analysis.

GigaScience · Jan 19, 2018Peer-reviewedBioinformatics