David Posada

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Full Professor

Universidade de Vigo

Spain

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About

David Posada is a Full Professor at Universidade de Vigo, Spain. His research focuses on viral genomics, particularly the spread of SARS-CoV-2 variants, and single-cell genomic analysis. His recent work includes studies on the evolutionary rates in cancer and healthy tissues, as well as the development of methodologies for identifying cryptic mutations and inferring phylogenies in single-cell DNA sequencing.

Recent Grants

Grant: Close

Genomic epidemiology and real-time monitoring of SARS-CoV-2 in Galicia

Open Date: 2020-07-01

Close Date: 2021-12-01

Grant: Close

Genomic heterogeneity of circulating tumor cells

Open Date: 2020-06-01

Close Date: 2024-05-01

Grant: Close

Population genomics of intratumoral heterogeneity

Open Date: 2016-01-01

Close Date: 2019-12-01

Grant: Close

Phylogeography and somatic evolution of cancer tumor cells

Open Date: 2014-10-01

Close Date: 2019-09-30

Grant: Close

Axudas do Programa de Consolidación e Estruturación de Unidades de Investigación Competitivas do Sistema Universitario de Galicia 2014: Grupos con Potencial de Crecemento

Open Date: 2014-01-01

Close Date: 2016-12-01

Articles (14)

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2025

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (6)

Laura A Katz

Elsie Damon Simonds Professor

Smith College

UNITED STATES

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Daniel García-Souto

Instituto de Investigaciones Marinas

SPAIN

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Carsten Wiuf

Københavns Universitet

DENMARK

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Yunxi Liu

Baylor College of Medicine

UNITED STATES

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Josep M. Llibre

SPAIN

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Philippe Lemey

Katholieke Universiteit Leuven Rega Institute for Medical Research

BELGIUM

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David Posada

Research Interests

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About

Recent Grants

Articles (14)

Intraline genomic heterogeneity of the triple-negative breast cancer MDA-MB-231-luc-GFP cell line

International importance and spread of SARS-CoV-2 variants Alpha, Delta, and Omicron BA.1 into Spain

Differential performance of strategies for single-cell whole-genome amplification

Crykey: Rapid identification of SARS-CoV-2 cryptic mutations in wastewater

Phylovar: toward scalable phylogeny-aware inference of single-nucleotide variations from single-cell DNA sequencing data (vol 38, pg i195, 2022)

Single-cell phylogenies reveal changes in the evolutionary rate within cancer and healthy tissues

Transcriptomic landscape of the kleptoplastic sea slug Elysia viridis

Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruna, Spain

Phylogenomic Analyses of 2,786 Genes in 158 Lineages Support a Root of the Eukaryotic Tree of Life between Opisthokonts and All Other Lineages

CellPhy: accurate and fast probabilistic inference of single-cell phylogenies from scDNA-seq data

SARS-CoV-2 Evolution and Spike-Specific CD4+ T-Cell Response in Persistent COVID-19 with Severe HIV Immune Suppression

Comparative analysis of capture methods for genomic profiling of circulating tumor cells in colorectal cancer

Coalescent models derived from birth–death processes

OmniSARS2: A Highly Sensitive and Specific RT-qPCR-Based COVID-19 Diagnostic Method Designed to Withstand SARS-CoV-2 Lineage Evolution

Collaborators (6)

Laura A Katz

Daniel García-Souto

Carsten Wiuf

Yunxi Liu

Josep M. Llibre

Philippe Lemey

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