Author

Nigel Geoffrey Bean

ARC Centre of Excellence for Mathematical and Statistical FrontiersORCID 0000-0002-5351-3104Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:phylogenetics / evolution· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Adam B. RohrlachiD· 2 shared Alan CooperiD· 2 shared Barbara R. HollandiD· 1 shared Bastien LlamasiD· 1 shared Gary F. V. Glonek· 1 shared Graham GoweriD· 1 shared Jonathan TukeiD· 1 shared Jono Tuke· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Adam B. RohrlachORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 9, 2018

Unsupervized Quantification of Demographic Structure for Single-copy Alignments

Adam B. Rohrlach, Nigel Geoffrey Bean, Gary F. V. Glonek…·Alan Cooper

The paper introduces a method to quantify demographic structure in single-copy sequence alignments by analyzing relationships between individuals and genomic positions, and demonstrates its application with empirical data.

DOI 10.1101/338442

whole-genome sequencingstatistical model

𝕏 PostBluesky

GeneticsbioRxivPreprintAug 3, 2018

Population size history from short genomic scaffolds: how short is too short?

Graham Gower, Jono Tuke, Adam B. Rohrlach…·Alan Cooper

This study evaluates the performance of PSMC and PSMC' on short genomic scaffolds and finds that psmc remains accurate down to 100 kb while msmc is only reliable for scaffolds over 1 Mb.

17 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky