Author

Graeme P. Taylor

University of Ottawa

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

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:metabolomics· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Steffany A. L. BennettiD· 2 shared Alexandre P. BlanchardiD· 1 shared Angela M. CrawleyiD· 1 shared Anuradha SurendraiD· 1 shared Daniel FigeysiD· 1 shared Hongbin XuiD· 1 shared Hongbin XuiD· 1 shared Irina AlecuiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 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 papersBioinformatics

Steffany A. L. BennettORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BATL: Bayesian annotations for targeted lipidomics

Justin G. Chitpin, Anuradha Surendra, Thao Nguyen-Tran, Graeme P. Taylor, Hongbin Xu, Irina Alecu, Roberto Ortega, Julianna J. Tomlinson, Angela M. Crawley, Michaeline McGuinty, Michael G. Schlossmacher, Rachel J. Saunders-Pullman, Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Theodore J. Perkins

BATL is a Bayesian classifier for targeted lipidomics that annotates LC-ESI-MS/MS peaks with high accuracy using eight features, achieving over 95% correct identification in SRM datasets.

Bioinformatics · Dec 21, 2021Peer-reviewedBioinformatics

Retention Time Standardization and Registration (RTStaR): An algorithm that matches corresponding and identifies unique species in nanoliquid chromatography-nanoelectrospray ionization-mass spectrometry lipidomic datasets

Alexandre P. Blanchard, Yun Wang, Graeme P. Taylor, Matthew W. Granger, Stephen Fai, Daniel Figeys, Tomáš Paus, Zdenka Pausová, Hongbin Xu, Steffany A. L. Bennett

RTStaR standardizes and registers lipidomic datasets to match and identify unique lipid species across different matrices and organisms.

bioRxiv · May 1, 2021 · PreprintBioinformatics