Author

M. C. Gazitua

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 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

M. B. Sullivan· 3 shared S. Roux· 2 shared A. A. Zayed· 1 shared A. B. Narrowe· 1 shared B. B. McGivern· 1 shared B. Bolduc· 1 shared C. L. Sun· 1 shared D. R. Vik· 1 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersMicrobiology

M. B. Sullivan

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Author profile →

3 papers

Recent·Most cited

Genome-resolved viral ecology in a marine oxygen minimum zone (OMZ)

D. Vik, C. L. Sun, M. C. Gazitua, M. Aldunate, M. R. Mulholland, O. Ulloa, M. B. Sullivan

This study analyzes viral metagenomes from an OMZ to reveal ecological patterns and diversity, finding low viral diversity and high endemism in anoxic waters.

Environmental Microbiology · Nov 23, 2020Peer-reviewedMicrobiology

DRAM for distilling microbial metabolism to automate the curation of microbiome function

M. Shaffer, M. A. Borton, B. B. McGivern, A. A. Zayed, S. L. La Rosa, L. M. Solden, P. Liu, A. B. Narrowe, J. Rodriguez-Ramos, B. Bolduc, M. C. Gazitua, R. A. Daly, G. J. Smith, D. R. Vik, P. B. Pope, , K. C. Wrighton

DRAM automates microbiome function curation by translating genomic data into microbial traits, accurately assigning metabolic roles in soil and gut communities.

Nucleic Acids Research · Aug 7, 2020Peer-reviewedMicrobiology

Glacier ice archives fifteen-thousand-year-old viruses

Z.-P. Zhong, N. E. Solonenko, Y.-F. Li, M. C. Gazitua, S. Roux, M. E. Davis, J. L. Van Etten, E. Mosley-Thompson, V. I. Rich, M. B. Sullivan, L. G. Thompson

This paper develops clean sampling methods to study microbes and viruses in glacier ice, revealing 33 viral populations including potential novel genera and their associations with bacteria.

bioRxiv · Jan 3, 2020Ecology