Author

Yingying Xu

University of HelsinkiORCID 0000-0002-9096-0552Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Claire ChewapreechaiD· 2 shared Jukka CoranderiD· 2 shared Julian ParkhilliD· 2 shared Maiju Pesonen· 2 shared Santeri PuraneniD· 2 shared Aleksi SipolaiD· 1 shared Brian Arnold· 1 shared Erik Aurell· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenomics

Claire ChewapreechaORCID

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2 papers

Recent·Most cited

GenomicsNucleic Acids ResearchPeer-reviewedJul 24, 2019

Genome-wide epistasis and co-selection study using mutual information

Johan Pensar, Santeri Puranen, Brian Arnold…·Jukka Corander

This paper introduces SpydrPick, a model-free method to detect co-selection and epistasis in bacterial genomes, revealing both known and novel targets in human pathogens.

54 citations

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

GeneticsPLOS GeneticsPeer-reviewedFeb 16, 2017

Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis

Marcin J Skwark, Nicholas J Croucher, Santeri Puranen…·Jukka Corander

This paper introduces genomeDCA, a statistical method to identify epistatic interactions in Streptococcus pneumoniae genomes, revealing networks of resistance, virulence, and core genes.

DOI 10.1371/journal.pgen.1006508

bacteria (other)whole-genome sequencing

𝕏 PostBluesky