Author

B. Mathema

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 2 Organism:human· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Dixit· 1 shared A. Hicks· 1 shared A. Narechania· 1 shared A. Schami· 1 shared B. Kreiswirth· 1 shared B. N. Kreiswirth· 1 shared C. Contreras· 1 shared D. Bobo· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperMicrobiology

A. Dixit

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Drug resistant Mycobacterium tuberculosis strains have altered cell envelope hydrophobicity that influences infection outcomes in human macrophages

A. Schami, M. N. Islam, M. Wall, A. Hicks, R. Meredith, B. Kreiswirth, B. Mathema, J. T. Belisle, J. B. Torrelles

This study examines changes in cell envelope lipids of drug-resistant Mycobacterium tuberculosis strains and their impact on macrophage interactions.

bioRxiv · Apr 10, 2024 · PreprintMicrobiology

What do we gain when tolerating loss? The information bottleneck wrings out recombination

A. Narechania, D. Bobo, R. DeSalle, B. Mathema, B. N. Kreiswirth, P. J. Planet

This paper introduces an alignment-free method using the information bottleneck to detect recombination in microbial genomes by analyzing k-mer co-occurrence patterns.

bioRxiv · Aug 27, 2021Evolutionary Biology

Genotypic clustering does not imply recent tuberculosis transmission in a high prevalence setting: A genomic epidemiology study in Lima, Peru

A. Dixit, L. Freschi, R. Vargas, R. Calderon, J. Sacchettini, F. Drobniewski, J. T. Galea, C. Contreras, R. Yataco, Z. Zhang, L. Lecca, S.-O. Kolokotronis, B. Mathema, M. R. Farhat

This study uses genomic data to show that TB clusters identified by traditional methods may persist for decades, and WGS reveals genetic factors that may enhance transmissibility.

bioRxiv · Sep 16, 2018Microbiology