Author

Melanie K. Hess

AgResearchORCID 0000-0002-7502-0036Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:simulation· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Adam P. A. CardiliniiD· 1 shared Andrew S. HessiD· 1 shared Craig D. H. ShermaniD· 1 shared D. SelechnikiD· 1 shared K. G. DoddsiD· 1 shared Lee Ann RollinsiD· 1 shared Mark F. RichardsoniD· 1 shared Michael V. MartiniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Adam P. A. CardiliniORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 14, 2020

Inherent population structure determines the importance of filtering parameters for reduced representation sequencing analyses

D. Selechnik, Mark F. Richardson, Melanie K. Hess…·Lee Ann Rollins

The paper shows that filtering parameter choices in reduced representation sequencing analyses impact population structure detection, depending on the inherent genetic differentiation of the dataset.

5 citations

whole-genome sequencingsimulation

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