Author

G. Deikus

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

Immunology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Approach:deep learning· 1 Organism:mouse· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

C. T. Watson· 2 shared J. T. Kos· 2 shared M. L. Smith· 2 shared W. S. Gibson· 2 shared A. Bashir· 1 shared A. Charney· 1 shared A. Kasarskis· 1 shared A. M. Colins· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 22 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 papersImmunology

C. T. Watson

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

FLAIRR-seq: A novel method for single molecule resolution of near full-length immunoglobulin heavy chain repertoires

E. E. Ford, D. Tieri, O. L. Rodriguez, N. J. Francoeur, J. Soto, J. T. Kos, A. Peres, W. S. Gibson, C. A. Silver, G. Deikus, E. Hudson, C. R. Woolley, N. Beckmann, A. Charney, T. C. Mitchell, , M. L. Smith

FLAIRR-seq provides high-resolution, single-molecule characterization of immunoglobulin heavy chain repertoires, including constant region features, and identifies novel alleles.

bioRxiv · Sep 24, 2022 · PreprintImmunology

A comparison of immunoglobulin IGHV, IGHD and IGHJ genes in wild-derived and classical inbred mouse strains

C. T. Watson, J. T. Kos, W. S. Gibson, C. E. Busse, L. Newman, G. Deikus, M. L. Smith, K. J. Jackson, A. M. Colins

The paper compares immunoglobulin gene diversity in wild-derived and classical inbred mouse strains, finding novel alleles and highlighting genetic complexity in IGH loci.

bioRxiv · Aug 7, 2019Immunology

Complete genome screening of clinical MRSA isolates identifies lineage diversity and provides full resolution of transmission and outbreak events

M. J. Sullivan, D. R. Altman, K. I. Chacko, B. Ciferri, E. Webster, T. R. Pak, G. Deikus, M. Lewis-Sandari, Z. Khan, C. Beckford, A. Rendo, F. Samaroo, R. Sebra, R. Karam-Howlin, T. Dingle, , H. van Bakel

This study uses long-read sequencing to analyze MRSA genomes, revealing lineage diversity and detailed transmission dynamics in an outbreak.

bioRxiv · May 21, 2019 · PreprintMicrobiology