Author

Michael Heyang

Cornell UniversityORCID 0000-0002-5960-949XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

Iwijn De VlaminckiD· 3 shared Philip BurnhamiD· 3 shared Darshana M. DadhaniaiD· 2 shared John R. LeeiD· 2 shared Manikkam SuthanthiraniD· 2 shared Alexandre Pellan ChengiD· 1 shared Charles G. DankoiD· 1 shared Fanny Chen· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersGenomics

Iwijn De VlaminckORCID

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3 papers

Recent·Most cited

Separating the signal from the noise in metagenomic cell-free DNA sequencing

Philip Burnham, Nardhy Gomez‐Lopez, Michael Heyang, Alexandre Pellan Cheng, Joan Sesing Lenz, Darshana M. Dadhania, John R. Lee, Manikkam Suthanthiran, Roberto J. Romero, Iwijn De Vlaminck

The paper introduces LBBC, a tool to reduce noise in metagenomic cfDNA sequencing, improving detection of urinary tract infection while minimizing false positives.

Microbiome · Feb 11, 2020Peer-reviewedGenomics

Simultaneous multiplexed amplicon sequencing and transcriptome profiling in single cells

Mridusmita Saikia, Philip Burnham, S. Keshavjee, Michael F. Z. Wang, Michael Heyang, Pablo Moral-López, Meleana M. Hinchman, Charles G. Danko, John S. L. Parker, Iwijn De Vlaminck

This paper introduces DART-seq, a method that enables multiplexed amplicon sequencing and transcriptome profiling in single cells, applied to study viral transcripts and B cell immune repertoires.

Nature Methods · Dec 5, 2018Peer-reviewedGenomics

Structure and diversity of urinary cell-free DNA informative of host-pathogen interactions in human urinary tract infection

Philip Burnham, Darshana M. Dadhania, Michael Heyang, Fanny Chen, Lars F. Westblade, Manikkam Suthanthiran, John R. Lee, Iwijn De Vlaminck

This study uses urinary cell-free DNA to monitor host and pathogen dynamics in urinary tract infections, revealing insights into microbiome composition, antimicrobial susceptibility, and kidney injury.

Nature Communications · Jun 14, 2018Peer-reviewedGenomics