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Modeling & Theory in population Biology – A fast approximate maximum likelihood phylogenetic placement method scalable for massive environmental DNA datasets – Lenore Pipes, UC Berkeley
On April 3, 2024, Lenore Pipes spoke on the computational methods that she has been developing during her postdoc for use on the massive environmental DNA (eDNA) datasets that are being produced. eDNA has applications spanning pathogen and disease monitoring, biodiversity assessments, counter-terrorism, climate change, community ecology analysis, and ancient DNA studies. Pipes defines eDNA…
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Modeling & Theory in population Biology – A fast approximate maximum likelihood phylogenetic placement method scalable for massive environmental DNA datasets – Lenore Pipes, UC Berkeley
On April 3, 2024, Lenore Pipes spoke on the computational methods that she has been developing during her postdoc for use on the massive environmental DNA (eDNA) datasets that are being produced. eDNA has applications spanning pathogen and disease monitoring, biodiversity assessments, counter-terrorism, climate change, community ecology analysis, and ancient DNA studies. Pipes defines eDNA…
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Modeling & Theory in population Biology – A fast approximate maximum likelihood phylogenetic placement method scalable for massive environmental DNA datasets – Lenore Pipes, UC Berkeley
On April 3, 2024, Lenore Pipes spoke on the computational methods that she has been developing during her postdoc for use on the massive environmental DNA (eDNA) datasets that are being produced. eDNA has applications spanning pathogen and disease monitoring, biodiversity assessments, counter-terrorism, climate change, community ecology analysis, and ancient DNA studies. Pipes defines eDNA…
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