Author

Andras Pataki

Simons FoundationORCID 0000-0002-8006-2871Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:Bayesian inference· 1 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:protein structure· 1

Frequent Co-Authors

Ari PakmaniD· 1 shared Bryn C. TayloriD· 1 shared Chris ChandleriD· 1 shared Daniel BerenbergiD· 1 shared Hervé Marie-NellyiD· 1 shared I. FiskiD· 1 shared Julia Koehler LemaniD· 1 shared Mariano I. GabittoiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Ari PakmanORCID

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2 papers

Recent·Most cited

Sequence-structure-function relationships in the microbial protein universe

Julia Koehler Leman, Paweł Szczerbiak, P. Douglas Renfrew, Vladimir Gligorijević, Daniel Berenberg, Tommi Vatanen, Bryn C. Taylor, Chris Chandler, Stefan Janssen, Andras Pataki, Nick Carriero, I. Fisk, Ramnik J. Xavier, Rob D. Knight, Richard Bonneau, Tomasz Kościółek

The paper predicts structures and annotates functions for diverse microbial protein sequences, identifying novel folds and highlighting the saturation of structural space.

bioRxiv · Mar 18, 2022 · PreprintBioinformatics

A Bayesian nonparametric approach to super-resolution single-molecule localization

Mariano I. Gabitto, Hervé Marie-Nelly, Ari Pakman, Andras Pataki, Xavier Darzacq, Michael I. Jordan

This paper introduces a Bayesian nonparametric framework for identifying individual molecules in super-resolution microscopy time series, using ground-truth data to assess performance.

The Annals of Applied Statistics · Dec 1, 2021Peer-reviewedBioinformatics