Author

M. J. Morowitz

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

Biology Disciplines

Click to filter author papers

Microbiology· 8

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metagenomics· 8 Organism:human· 7 Research Focus:cell type annotation· 4 Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Approach:machine learning (classical)· 2

Frequent Co-Authors

J. F. Banfield· 8 shared M. R. Olm· 8 shared B. A. Firek· 5 shared R. Baker· 5 shared B. Brooks· 2 shared B. C. Thomas· 2 shared P. T. West· 2 shared R. L. Hettich· 2 shared

Activity by Year

2017-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

8 shared papersMicrobiology

J. F. Banfield

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Using strain-resolved analysis to identify contamination in metagenomics data

Y. C. Lou, J. Hoff, M. R. Olm, J. West-Roberts, S. Diamond, B. A. Firek, M. J. Morowitz, J. F. Banfield

This study identifies contamination in metagenomics data using strain-resolved analysis, finding that contamination is more common in low-biomass samples and adjacent extraction plate positions.

bioRxiv · Jan 16, 2022Microbiology

Genetic and behavioral adaptation of Candida parapsilosis to the microbiome of hospitalized infants revealed by in situ genomics, transcriptomics and proteomics

P. T. West, S. L. Peters, M. R. Olm, F. B. Yu, Y. C. Lou, B. A. Firek, R. Baker, A. D. Johnson, M. J. Morowitz, R. L. Hettich, J. F. Banfield

This study identifies genetic and behavioral adaptations of C. parapsilosis in the gut microbiome of hospitalized infants using in situ genomics, transcriptomics, and proteomics.

Microbiome · Jun 21, 2021Peer-reviewedMicrobiology

Necrotizing enterocolitis is preceded by increased gut bacterial replication, Klebsiella, and fimbriae-encoding bacteria that may stimulate TLR4 receptors

M. R. Olm, N. Bhattacharya, A. Crits-Christoph, B. A. Firek, R. Baker, Y. S. Song, M. J. Morowitz, J. F. Banfield

The paper identifies microbial features predictive of necrotizing enterocolitis (NEC) in premature infants using metagenomic analysis and machine learning.

bioRxiv · Feb 22, 2019Microbiology

Functional potential of bacterial strains in the premature infant gut microbiome is associated with gestational age

S. F. Rahman, M. R. Olm, M. J. Morowitz, J. F. Banfield

This study investigates how gestational age affects the functional potential and species richness of the gut microbiome in premature infants using genome-resolved metagenomics.

bioRxiv · Jan 24, 2019 · PreprintMicrobiology

Strain-level overlap between infant and hospital fungal microbiomes revealed through de novo assembly of eukaryotic genomes from metagenomes

M. R. Olm, P. T. West, B. Brooks, B. A. Firek, R. Baker, M. J. Morowitz, J. F. Banfield

The paper analyzes metagenomic data from premature infants and NICUs to identify fungal strains and their genetic diversity, revealing high similarity between infant and hospital-associated fungi.

bioRxiv · May 17, 2018Microbiology

The developing premature infant gut microbiome is a major factor shaping the microbiome of neonatal intensive care unit rooms

B. Brooks, M. R. Olm, B. A. Firek, R. Baker, D. Geller-McGrath, S. R. Reimer, K. R. Soenjoyo, J. S. Yip, D. Dahan, B. C. Thomas, M. J. Morowitz, J. F. Banfield

The paper investigates how the gut microbiome of premature infants shapes the microbial composition of NICU rooms over time.

bioRxiv · May 7, 2018Microbiology

Hospitalized premature infants are colonized by related bacterial strains with distinct proteomic profiles

C. T. Brown, W. Xiong, M. R. Olm, B. C. Thomas, R. Baker, B. Firek, M. J. Morowitz, R. L. Hettich, J. F. Banfield

This study examines microbial colonization in premature infants, finding distinct proteomic profiles among related bacterial strains and correlations with NEC development.

bioRxiv · Mar 6, 2018Microbiology

Machine learning leveraging genomes from metagenomes identifies influential antibiotic resistance genes in the infant gut microbiome

S. F. Rahman, M. R. Olm, M. J. Morowitz, J. F. Banfield

The paper uses machine learning on genome-resolved metagenomics data to identify antibiotic resistance genes in the infant gut microbiome that influence bacterial survival and response to antibiotics.

bioRxiv · Sep 7, 2017Microbiology