Author

Vijendra Ramlall

Columbia UniversityORCID 0000-0002-2318-7184Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1

Frequent Co-Authors

Nicholas P. TatonettiiD· 2 shared Alain BorczukiD· 1 shared Alon ShaiberiD· 1 shared Amos J. ShemeshiD· 1 shared Andrea C. GranadosiD· 1 shared Angelika Iftner· 1 shared Ari M. MelnickiD· 1 shared Arkarachai FungtammasaniD· 1 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 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 papersMolecular Biology

Nicholas P. TatonettiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Molecular BiologyNature CommunicationsPeer-reviewedMar 12, 2021

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

Daniel Butler, Christopher Mozsary, Cem Meydan…·Christopher E. Mason

This study uses rapid diagnostics and metatranscriptomics to analyze SARS-CoV-2 infection, revealing viral evolution, host responses, and drug interactions in NYC samples.

201 citationstop 1%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 14, 2019

Predicting the genetic ancestry of 2.6 million New York City patients using clinical data

Vijendra Ramlall, Kayla M. Quinnies, Rami Sesha Vanguri…·Nicholas P. Tatonetti

This paper predicts genetic ancestry for 2.6 million NYC patients using only clinical data from EHRs, achieving over 80% accuracy for unknown or other ancestries.

DOI 10.1101/768440

humanelectronic health records

𝕏 PostBluesky

Molecular BiologyNucleic Acids ResearchPeer-reviewedJan 16, 2019

Biophysical Principles of Lineage Factor PU.1 Binding Revealed by NextPBMs

Nima Mohaghegh, David Bray, Jessica L. Keenan…·Trevor Siggers

The paper introduces nextPBMs to study TF binding with PTMs and cofactors, revealing PU.1's binding modes and cofactor influences in monocytes.

43 citationstop 4%

humanChIP-seq

𝕏 PostBluesky