Author

Nicola De Maio

Primary ORCID profile (0000-0002-1776-8564 · 26 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Nicola De MaioiD26 papers · European Bioinformatics Institute

Biology Disciplines

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Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Research Focus:phylogenetics / evolution· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Carolin KosioliD· 2 shared Dominik SchrempfiD· 2 shared Arndt von HaeseleriD· 1 shared Bui Quang Minh· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Carolin KosiolORCID

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2 papers

Recent·Most cited

BioinformaticsJournal of Theoretical BiologyPeer-reviewedOct 1, 2016

Reversible Polymorphism-Aware Phylogenetic Models and their Application to Tree Inference

Dominik Schrempf, Bui Quang Minh, Nicola De Maio…·Carolin Kosiol

This paper introduces revPoMo, a polymorphism-aware phylogenetic model that improves species tree estimation accuracy without increasing runtime with larger sample sizes.

DOI 10.1016/j.jtbi.2016.07.042

DNA methylationstatistical model

𝕏 PostBluesky

Evolutionary BiologySystematic BiologyPeer-reviewedJul 23, 2015

PoMo: An Allele Frequency-based Approach for Species Tree Estimation

Nicola De Maio, Dominik Schrempf, Carolin Kosiol

PoMo estimates species trees using allele frequencies, outperforming existing methods in accuracy and speed for genome-wide data with incomplete lineage sorting.

DOI 10.1093/sysbio/syv048

DNA methylationstatistical model

𝕏 PostBluesky