Search Results for author: Guillaume Bourque

Found 4 papers, 3 papers with code

The Canadian VirusSeq Data Portal & Duotang: open resources for SARS-CoV-2 viral sequences and genomic epidemiology

no code implementations8 May 2024 Erin E. Gill, Baofeng Jia, Carmen Lia Murall, Raphaël Poujol, Muhammad Zohaib Anwar, Nithu Sara John, Justin Richardsson, Ashley Hobb, Abayomi S. Olabode, Alexandru Lepsa, Ana T. Duggan, Andrea D. Tyler, Arnaud N'Guessan, Atul Kachru, Brandon Chan, Catherine Yoshida, Christina K. Yung, David Bujold, Dusan Andric, Edmund Su, Emma J. Griffiths, Gary Van Domselaar, Gordon W. Jolly, Heather K. E. Ward, Henrich Feher, Jared Baker, Jared T. Simpson, Jaser Uddin, Jiannis Ragoussis, Jon Eubank, Jörg H. Fritz, José Héctor Gálvez, Karen Fang, Kim Cullion, Leonardo Rivera, Linda Xiang, Matthew A. Croxen, Mitchell Shiell, Natalie Prystajecky, Pierre-Olivier Quirion, Rosita Bajari, Samantha Rich, Samira Mubareka, Sandrine Moreira, Scott Cain, Steven G. Sutcliffe, Susanne A. Kraemer, Yann Joly, Yelizar Alturmessov, CPHLN consortium, CanCOGeN consortium, VirusSeq Data Portal Academic, Health network, Marc Fiume, Terrance P. Snutch, Cindy Bell, Catalina Lopez-Correa, Julie G. Hussin, Jeffrey B. Joy, Caroline Colijn, Paul M. K. Gordon, William W. L. Hsiao, Art F. Y. Poon, Natalie C. Knox, Mélanie Courtot, Lincoln Stein, Sarah P. Otto, Guillaume Bourque, B. Jesse Shapiro, Fiona S. L. Brinkman

The COVID-19 pandemic led to a large global effort to sequence SARS-CoV-2 genomes from patient samples to track viral evolution and inform public health response.

Epidemiology

Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

4 code implementations29 Sep 2018 Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque

We describe a new algorithm and R package for peak detection in genomic data sets using constrained changepoint algorithms.

Computation

A log-linear time algorithm for constrained changepoint detection

7 code implementations9 Mar 2017 Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque

This leads to a new algorithm which can solve problems with arbitrary affine constraints on adjacent segment means, and which has empirical time complexity that is log-linear in the amount of data.

Time Series Time Series Analysis

PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples

1 code implementation3 Jun 2015 Toby Dylan Hocking, Guillaume Bourque

To select the number of peaks in the segmentation, we propose a supervised penalty learning model.

Segmentation

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