Author

Kristina Grigaityte

Cold Spring Harbor Laboratory

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 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Gurinder S. AtwaliD· 3 shared Adrian W. BriggsiD· 2 shared Francois Vigneault· 2 shared Jason A. CarteriD· 2 shared Stephen J. Goldfless· 2 shared David Koppstein· 1 shared Eric W. Jeffery· 1 shared George M. Church· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersImmunology

Gurinder S. AtwalORCID

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Author profile →

3 papers

Recent·Most cited

Bayesian inference of power law distributions

Kristina Grigaityte, Gurinder S. Atwal

This paper develops a Bayesian method to infer power law distributions from data, including mixture models and exponents, and provides an open-source implementation.

bioRxiv · Jun 18, 2019 · PreprintBioinformatics

T-cell receptor αβ chain pairing is associated with CD4+ and CD8+ lineage specification

Jason A. Carter, Jonathan B. Preall, Kristina Grigaityte, Stephen J. Goldfless, Adrian W. Briggs, Francois Vigneault, Gurinder S. Atwal

The paper analyzes TCR {beta} chain pairing in human T-cells to determine its role in CD4+ and CD8+ lineage specification, finding that {beta} chain pairs are more informative than individual chains for lineage prediction.

bioRxiv · Apr 3, 2018 · PreprintImmunology

Single-cell sequencing reveals αβ chain pairing shapes the T cell repertoire

Kristina Grigaityte, Jason A. Carter, Stephen J. Goldfless, Eric W. Jeffery, Ronald J. Hause, Yue Jiang, David Koppstein, Adrian W. Briggs, George M. Church, Francois Vigneault, Gurinder S. Atwal

This study uses single-cell sequencing to analyze T cell receptor pairing, finding non-random β chain associations and public clone sharing, which reduce T cell repertoire diversity.

bioRxiv · Nov 2, 2017 · PreprintImmunology