Author

L. Law

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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Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:rat· 3 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:long-read sequencing· 1 Assay:metagenomics· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

M. Gale· 3 shared X. Peng· 3 shared E. Smith· 2 shared H. Brochu· 2 shared K. Diveley· 2 shared S. G. Hansen· 2 shared A. Jones· 1 shared A. Kirk· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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3 shared papersImmunology

M. Gale

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Pre-challenge gut microbial signature predicts RhCMV/SIV vaccine efficacy in rhesus macaques

H. N. Brochu, E. Smith, S. Jeong, M. Carlson, S. G. Hansen, J. Tisoncik-Go, L. Law, L. J. Picker, M. Gale, X. Peng

The paper identifies a gut microbial signature predictive of RhCMV/SIV vaccine efficacy in rhesus macaques using 16S rRNA analysis and compositional data techniques.

bioRxiv · Feb 27, 2024Microbiology

Single cell based high-throughput Ig and TCR repertoire sequencing analysis in rhesus macaques

E. S. Walsh, T. Tollison, H. Brochu, B. Shaw, K. Diveley, H. Chou, L. Law, A. Kirk, M. Gale, X. Peng

This study develops and validates high-throughput single-cell immune repertoire sequencing for rhesus macaques, enabling analysis of Ig and TCR repertoires in over 60,000 cells.

bioRxiv · Aug 17, 2021Immunology

Systematic profiling of full-length immunoglobulin and T-cell receptor repertoire diversity in rhesus macaque through long read transcriptome sequencing

H. Brochu, E. Tseng, E. Smith, M. J. Thomas, A. Jones, K. Diveley, L. Law, S. G. Hansen, L. Picker, M. Gale, X. Peng

This study uses long-read sequencing to profile full-length Ig and TCR repertoires in rhesus macaques, revealing significant diversity missed by traditional methods.

bioRxiv · Oct 15, 2019Immunology