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Nicola De Maio

European Bioinformatics Institute · GB
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Area of research
Molecular Biology · Paleontology
Research interest
Research interests include Genomics and Phylogenetic Studies, Evolution and Paleontology Studies, and Genome Rearrangement Algorithms.
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Recent publications

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.
2026cited by 3position: middledoi
Rate variation and recurrent sequence errors in pandemic-scale phylogenetics.
2026cited by 1position: firstdoi
IQ-TREE 3: Phylogenomic Inference Software using Complex Evolutionary Models.
2026cited by 0position: middledoi
Modeling Site-Specific Mutation Patterns in Pandemic-Scale Phylogenetics
2026cited by 0position: lastdoi
Assessing phylogenetic confidence at pandemic scales.
2025cited by 4position: firstdoi
Detecting Interspecific Positive Selection Using Convolutional Neural Networks.
2025cited by 2position: middledoi
Highly Recurrent Multinucleotide Mutations in SARS-CoV-2.
2025cited by 1position: firstdoi
Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny
2024cited by 15position: middledoi
SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method.
2024cited by 13position: middledoi
SWAMPy: simulating SARS-CoV-2 wastewater amplicon metagenomes.
2024cited by 3position: middledoi
Rate variation and recurrent sequence errors in pandemic-scale phylogenetics
2024cited by 1position: firstdoi
Detecting interspecific positive selection using convolutional neural networks
2024cited by 0position: middledoi
Highly recurrent multi-nucleotide mutations in SARS-CoV-2
2024cited by 0position: firstdoi
Maximum likelihood pandemic-scale phylogenetics.
2023cited by 56position: firstdoi
Impact and mitigation of sampling bias to determine viral spread: Evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations.
2023cited by 56position: middledoi
Online Phylogenetics with matOptimize Produces Equivalent Trees and is Dramatically More Efficient for Large SARS-CoV-2 Phylogenies than de novo and Maximum-Likelihood Implementations.
2023cited by 22position: middledoi
SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine learning method
2023cited by 0position: middledoi
phastSim: Efficient simulation of sequence evolution for pandemic-scale datasets.
2022cited by 28position: firstdoi
Impact and mitigation of sampling bias to determine viral spread: evaluating discrete phylogeography through CTMC modeling and structured coalescent model approximations
2022cited by 4position: middledoi
SWAMPy: Simulating SARS-CoV-2 Wastewater Amplicon Metagenomes with Python
2022cited by 0position: middledoi
Sampling bias and model choice in continuous phylogeography: Getting lost on a random walk.
2021cited by 76position: lastdoi
Short-range template switching in great ape genomes explored using pair hidden Markov models.
2021cited by 15position: middledoi
Genomic reconstruction of the SARS-CoV-2 epidemic in England
2021cited by 13position: middledoi
phastSim: efficient simulation of sequence evolution for pandemic-scale datasets
2021cited by 7position: firstdoi
Using host genetics to infer the global spread and evolutionary history of HCV subtype 3a.
2021cited by 3position: middledoi
The SARS-CoV-2 replication-transcription complex is a priority target for broad-spectrum pan-coronavirus drugs
2021cited by 1position: middledoi
Stability of SARS-CoV-2 phylogenies.
2020cited by 122position: middledoi
Genomic diversity affects the accuracy of bacterial single-nucleotide polymorphism-calling pipelines.
2020cited by 111position: middledoi
Sampling bias and model choice in continuous phylogeography: getting lost on a random walk
2020cited by 0position: lastdoi
Short-range template switching in great ape genomes explored using a pair hidden Markov model
2020cited by 0position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Nick Goldman · University of Oxford21 papers (2020–2026)Yatish Turakhia · University of California, Santa Cruz7 papers (2020–2025)Conor R. Walker · Bioinformatics Institute7 papers (2020–2025)Bui Quang Minh · Australian National University5 papers (2024–2026)Nhan Ly-Trong · Australian National University4 papers (2024–2026)Lukas Weilguny · European Bioinformatics Institute4 papers (2020–2022)Angie S. Hinrichs · Santa Cruz County Office of Education4 papers (2020–2024)Guy Baele · Janssen (Belgium)3 papers (2020–2023) · 3 papers (2019–2020)Samuel Martin · Earlham Institute3 papers (2025–2026)William Boulton · University of Cambridge3 papers (2022–2024)Nicole Stoesser · Nuffield Orthopaedic Centre3 papers (2019–2020)Derrick W. Crook · Nuffield Orthopaedic Centre3 papers (2019–2020)Russell Corbett-Detig · Albanian University3 papers (2020–2022)Robert Lanfear · Australian National University3 papers (2020–2026)Martin Hunt · European Bioinformatics Institute2 papers (2024–2026)Charlotte West · European Bioinformatics Institute2 papers (2024–2025)Manal AbuOun · Animal and Plant Health Agency2 papers (2019–2019)Shayesteh Arasti · University of California, San Diego2 papers (2024–2025)Viacheslav Vasilev · Moscow Institute of Physics and Technology2 papers (2024–2025)
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