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Maximillian Marin

Showing results (1-10 of 12) with videos related to

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Arxiv|March 11, 2024
Exploring gene content with pangene graphsHeng Li, Maximillian Marin, Maha Reda Farhat
Bioinformatics (Oxford, England)|July 23, 2024
Exploring gene content with pangene graphsHeng Li, Maximillian Marin, Maha Reda Farhat
Molecular Cancer Research : MCR|June 28, 2017
A Massively Parallel Fluorescence Assay to Characterize the Effects of Synonymous Mutations on <i>TP53</i> ExpressionGeetha Bhagavatula, Matthew S Rich, David L Young, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
Evaluating generalizability of artificial intelligence models for molecular datasetsYasha Ektefaie, Andrew Shen, Daria Bykova, et al.
Elife|September 5, 2025
The <i>Mycobacterium tuberculosis</i> complex pangenome is small and shaped by sub-lineage-specific regions of differenceMahboobeh Behruznia, Maximillian Marin, Daniel J Whiley, et al.
Elife|February 1, 2021
In-host population dynamics of <i>Mycobacterium tuberculosis</i> complex during active diseaseRoger Vargas, Luca Freschi, Maximillian Marin, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 3, 2023
Phase variation as a major mechanism of adaptation in <i>Mycobacterium tuberculosis</i> complexRoger Vargas, Michael J Luna, Luca Freschi, et al.
Bioinformatics (Oxford, England)|January 12, 2022
Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genomeMaximillian Marin, Roger Vargas, Michael Harris, et al.
Biorxiv : the Preprint Server for Biology|April 24, 2023
High-throughput phenogenotyping <i>of Mycobacteria tuberculosis</i> clinical strains reveals bacterial determinants of treatment outcomesSydney Stanley, Caitlin N Spaulding, Qingyun Liu, et al.
The Lancet. Microbe|May 11, 2024
Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strainsSydney Stanley, Caitlin N Spaulding, Qingyun Liu, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Arxiv|March 11, 2024
Exploring gene content with pangene graphsHeng Li, Maximillian Marin, Maha Reda Farhat
Bioinformatics (Oxford, England)|July 23, 2024
Exploring gene content with pangene graphsHeng Li, Maximillian Marin, Maha Reda Farhat
Molecular Cancer Research : MCR|June 28, 2017
A Massively Parallel Fluorescence Assay to Characterize the Effects of Synonymous Mutations on <i>TP53</i> ExpressionGeetha Bhagavatula, Matthew S Rich, David L Young, et al.
Biorxiv : the Preprint Server for Biology|March 11, 2024
Evaluating generalizability of artificial intelligence models for molecular datasetsYasha Ektefaie, Andrew Shen, Daria Bykova, et al.
Elife|September 5, 2025
The <i>Mycobacterium tuberculosis</i> complex pangenome is small and shaped by sub-lineage-specific regions of differenceMahboobeh Behruznia, Maximillian Marin, Daniel J Whiley, et al.
Elife|February 1, 2021
In-host population dynamics of <i>Mycobacterium tuberculosis</i> complex during active diseaseRoger Vargas, Luca Freschi, Maximillian Marin, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 3, 2023
Phase variation as a major mechanism of adaptation in <i>Mycobacterium tuberculosis</i> complexRoger Vargas, Michael J Luna, Luca Freschi, et al.
Bioinformatics (Oxford, England)|January 12, 2022
Benchmarking the empirical accuracy of short-read sequencing across the M. tuberculosis genomeMaximillian Marin, Roger Vargas, Michael Harris, et al.
Biorxiv : the Preprint Server for Biology|April 24, 2023
High-throughput phenogenotyping <i>of Mycobacteria tuberculosis</i> clinical strains reveals bacterial determinants of treatment outcomesSydney Stanley, Caitlin N Spaulding, Qingyun Liu, et al.
The Lancet. Microbe|May 11, 2024
Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strainsSydney Stanley, Caitlin N Spaulding, Qingyun Liu, et al.
Pageof 2