Author

Simon T. Hackl

University of TübingenORCID 0009-0000-3596-3411Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Organism:human· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Kay NieseltiD· 3 shared David ŠmajsiD· 2 shared Petra PospíšilováiD· 2 shared Allan PillayiD· 1 shared André Alex GrassmanniD· 1 shared Angel Alberto NodaiD· 1 shared Arlene C. SeñaiD· 1 shared Bin YangiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersMicrobiology

Kay NieseltORCID

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3 papers

Recent·Most cited

MicrobiologyJournal of BacteriologyPeer-reviewedJul 14, 2025

Sequence variability of BamA and FadL candidate vaccinogens suggests divergent evolutionary paths of Treponema pallidum outer membrane proteins

Everton Burlamarque Bettin, Farhang F. Aghakhanian, Christopher M. Hennelly…·Justin David Radolf

The paper analyzes sequence variability of BamA and FadL outer membrane proteins in 186 Treponema pallidum strains to identify evolutionary patterns and vaccine targets.

6 citations

humanDNA methylation

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MicrobiologybioRxivPreprintJul 10, 2025

A new typing scheme demonstrates high discriminatory power for Treponema pallidum subspecies

Marta Pla-Díaz, Lorenzo Giacani, Lauren C. Tantalo…·Fernando Gónzález‐Candelas

This paper introduces a new MLST scheme for Treponema pallidum subspecies with high discriminatory power, validated using global clinical samples and showing distinct genetic clusters.

DOI 10.1101/2025.07.10.664125

humanDNA methylation

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BioinformaticsbioRxivPreprintOct 25, 2022

Technical report on best practices for hybrid and long read de novo assembly of bacterial genomes utilizing Illumina and Oxford Nanopore Technologies reads

Simon T. Hackl, Theresa Anisja Harbig, Kay Nieselt

This paper evaluates long read and hybrid assemblers for bacterial genome assembly using Illumina and Oxford Nanopore data, finding that hybrid approaches reduce error rates compared to long reads alone.

1 citation

bacteria (other)whole-genome sequencing

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