Author

Henry Richard Johnston

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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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Andrew Allen· 1 shared David J Cutler· 1 shared Glen Satten· 1 shared Internation Consortium on Brain and Behavior in 22· 1 shared Jennifer Mulle· 1 shared Michael Epstein· 1 shared Michael Zwick· 1 shared Pankaj Chopra· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Andrew Allen

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2 papers

Recent·Most cited

GeneticsbioRxivSep 22, 2016

PEMapper / PECaller: A simplified approach to whole-genome sequencing

Henry Richard Johnston, Pankaj Chopra, Thomas Wingo…·David J Cutler

PEMapper/PECaller reduces computational and storage burdens for whole-genome sequencing while maintaining performance comparable to GATK.

DOI 10.1073/pnas.1618065114

humanwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsPLOS GeneticsPeer-reviewedMay 6, 2016

Testing Rare-Variant Association without Calling Genotypes Allows for Systematic Differences in Sequencing between Cases and Controls

Yi-Juan Hu, Peizhou Liao, Henry Richard Johnston…·Glen Satten

The paper introduces a likelihood-based method to test rare variant associations without genotype calling, showing robustness to sequencing differences and identifying novel variants in childhood obesity.

DOI 10.1371/journal.pgen.1006040

humanwhole-exome sequencing

𝕏 PostBluesky