Author

Mallory Embree

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 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Research Focus:genome assembly· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Jolie LobruttoiD· 2 shared Jordan EmbreeiD· 2 shared Kayla A. CalapaiD· 2 shared Rachel Bock· 2 shared Hamidreza Chitsaz· 1 shared Harish Nagarajan· 1 shared Karsten Zengler· 1 shared Narjes S. Movahedi· 1 shared

Activity by Year

2014-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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2 shared papersMicrobiology

Jolie LobruttoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Butyrivibrio azoria sp. nov., a novel cellulolytic microorganism isolated from the rumen of a Holstein dairy cow

Kayla A. Calapa, Jordan Embree, Rachel Bock, Jolie Lobrutto, Mallory Embree

This paper isolates and characterizes a novel cellulolytic bacterium from the rumen of a Holstein dairy cow, naming it Butyrivibrio azoria based on historical context.

bioRxiv · Jul 17, 2026 · PreprintMicrobiology

Ruminococcus hollandia sp. nov. and Ruminococcus vasco sp. nov., two novel starch-degrading Ruminococcus isolated from the rumen of Holstein dairy cattle

Kayla A. Calapa, Rachel Bock, Jordan Embree, Jolie Lobrutto, Mallory Embree

This paper describes two new Ruminococcus species isolated from the rumen of Holstein dairy cattle, characterized by their starch-degrading abilities and distinct genomic and phenotypic features.

bioRxiv · Jul 14, 2026 · PreprintMicrobiology

Efficient synergistic single-cell genome assembly

Narjes S. Movahedi, Zeinab Taghavi, Mallory Embree, Harish Nagarajan, Karsten Zengler, Hamidreza Chitsaz

This paper introduces HyDA, a co-assembly algorithm that improves single-cell genome assembly quality by combining multiple datasets, resulting in longer contigs and more complete genomes.

bioRxiv · Feb 24, 2014Bioinformatics