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Marie-Claire Harrison

Showing results (1-10 of 28) with videos related to

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Applied and Environmental Microbiology|October 23, 2024
Convergent reductive evolution in bee-associated lactic acid bacteriaAna Pontes, Marie-Claire Harrison, Antonis Rokas, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2024
Convergent reductive evolution in bee-associated lactic acid bacteriaAna Pontes, Marie-Claire Harrison, Antonis Rokas, et al.
Trends in Genetics : TIG|September 20, 2021
The evolution of the GALactose utilization pathway in budding yeastsMarie-Claire Harrison, Abigail L LaBella, Chris Todd Hittinger, et al.
Biorxiv : the Preprint Server for Biology|December 15, 2025
The Macroevolution of Filamentation Morphology Across the <i>Saccharomycotina</i> Yeast SubphylumChristina M Chavez, Marie-Claire Harrison, Thodoris Danis, et al.
FEMS Yeast Research|January 19, 2026
The Macroevolution of Filamentation Morphology Across the Saccharomycotina Yeast SubphylumChristina M Chavez, Marie-Claire Harrison, Thodoris Danis, et al.
Biorxiv : the Preprint Server for Biology|April 17, 2026
FunctionaL Assigning Sequence Homing (FLASH) maps phenotype to sequence with deep and machine learningDaniel J Cotter, Marie-Claire Harrison, Arjun Rustagi, et al.
Yeast (Chichester, England)|September 19, 2024
Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology FrameworkMarie-Claire Harrison, Dana A Opulente, John F Wolters, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2024
Machine learning enables identification of an alternative yeast galactose utilization pathwayMarie-Claire Harrison, Emily J Ubbelohde, Abigail L LaBella, et al.
Plos Genetics|March 17, 2026
Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeastsMarie-Claire Harrison, David C Rinker, Abigail L LaBella, et al.
Current Biology : CB|November 5, 2022
Contrasting modes of macro and microsynteny evolution in a eukaryotic subphylumYuanning Li, Hongyue Liu, Jacob L Steenwyk, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Applied and Environmental Microbiology|October 23, 2024
Convergent reductive evolution in bee-associated lactic acid bacteriaAna Pontes, Marie-Claire Harrison, Antonis Rokas, et al.
Biorxiv : the Preprint Server for Biology|July 15, 2024
Convergent reductive evolution in bee-associated lactic acid bacteriaAna Pontes, Marie-Claire Harrison, Antonis Rokas, et al.
Trends in Genetics : TIG|September 20, 2021
The evolution of the GALactose utilization pathway in budding yeastsMarie-Claire Harrison, Abigail L LaBella, Chris Todd Hittinger, et al.
Biorxiv : the Preprint Server for Biology|December 15, 2025
The Macroevolution of Filamentation Morphology Across the <i>Saccharomycotina</i> Yeast SubphylumChristina M Chavez, Marie-Claire Harrison, Thodoris Danis, et al.
FEMS Yeast Research|January 19, 2026
The Macroevolution of Filamentation Morphology Across the Saccharomycotina Yeast SubphylumChristina M Chavez, Marie-Claire Harrison, Thodoris Danis, et al.
Biorxiv : the Preprint Server for Biology|April 17, 2026
FunctionaL Assigning Sequence Homing (FLASH) maps phenotype to sequence with deep and machine learningDaniel J Cotter, Marie-Claire Harrison, Arjun Rustagi, et al.
Yeast (Chichester, England)|September 19, 2024
Exploring Saccharomycotina Yeast Ecology Through an Ecological Ontology FrameworkMarie-Claire Harrison, Dana A Opulente, John F Wolters, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2024
Machine learning enables identification of an alternative yeast galactose utilization pathwayMarie-Claire Harrison, Emily J Ubbelohde, Abigail L LaBella, et al.
Plos Genetics|March 17, 2026
Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeastsMarie-Claire Harrison, David C Rinker, Abigail L LaBella, et al.
Current Biology : CB|November 5, 2022
Contrasting modes of macro and microsynteny evolution in a eukaryotic subphylumYuanning Li, Hongyue Liu, Jacob L Steenwyk, et al.
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