Author

Teuta Pilizota

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· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Assay:imaging· 1

Frequent Co-Authors

Keiran Stevenson· 2 shared Alexander F McVey· 1 shared Alexander McVey· 1 shared Allen Leary· 1 shared Chris E. French· 1 shared Eugene Fletcher· 1 shared Ivan B N Clark· 1 shared Ivan BN Clark· 1 shared

Activity by Year

2016-2016 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 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

2 shared papersMicrobiology

Keiran Stevenson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

General calibration of microbial growth in microplate readers

Keiran Stevenson, Alexander F McVey, Ivan B N Clark, Peter S Swain, Teuta Pilizota

The paper presents calibration procedures to accurately estimate microbial cell concentration from optical density measurements in microplate readers.

Scientific Reports · Dec 13, 2016Peer-reviewedMicrobiology

Characterization of the effects of n-butanol on the cell envelope of E. coli

Eugene Fletcher, Teuta Pilizota, Philip R. Davies, Alexander McVey, Chris E. French

This study investigates how n-butanol affects the cell envelope of E. coli, finding it causes lipopolysaccharide release and membrane leakiness, with higher concentrations leading to inner membrane protrusions.

bioRxiv · Jul 7, 2016Microbiology

Inferring time-derivatives, including cell growth rates, using Gaussian processes

Peter Swain, Keiran Stevenson, Allen Leary, Luis F Montano-Gutierrez, Ivan BN Clark, Jackie Vogel, Teuta Pilizota

The paper introduces a Gaussian process-based method to infer time-derivatives from time-series data, demonstrating its application to microbial growth, amyloid assembly, and yeast cell dynamics.

bioRxiv · May 25, 2016Microbiology