Author

H. Maerkle

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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Evolutionary Biology· 3

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 3 Research Focus:host-pathogen & immune response· 3 Approach:statistical model· 3 Assay:whole-genome sequencing· 3 Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:DNA methylation· 1

Frequent Co-Authors

A. Tellier· 3 shared S. John· 2 shared L. Metzger· 1 shared M. A. Ansari· 1 shared STOP-HCV Consortium· 1 shared V. Pedergnana· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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3 shared papersEvolutionary Biology

A. Tellier

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3 papers

Recent·Most cited

Inference of host-pathogen interaction matrices from genome-wide polymorphism data

H. Maerkle, S. John, L. Metzger, STOP-HCV Consortium, M. A. Ansari, V. Pedergnana, A. Tellier

This paper develops a Bayesian method to infer host-pathogen interaction matrices from genome-wide polymorphism data and applies it to HCV-infected humans to identify new resistance genes and GxG interactions.

bioRxiv · Jul 6, 2023Evolutionary Biology

Cross-Species association statistics for genome-wide studies of host and parasite polymorphism data

H. Maerkle, A. Tellier, S. John

This study develops and evaluates statistical indices to identify coevolving loci between hosts and parasites using cross-species genome-wide association analyses.

bioRxiv · Jan 23, 2021 · PreprintEvolutionary Biology

Inference of coevolutionary dynamics and parameters from host and parasite polymorphism data of repeated experiments

H. Maerkle, A. Tellier

This paper develops a method to infer coevolutionary parameters from host and parasite polymorphism data using ABC, showing high accuracy in distinguishing coevolving loci from neutral ones.

bioRxiv · Oct 10, 2019Evolutionary Biology