Author

Lucia Carbone

Primary ORCID profile (0000-0002-2118-107X · 21 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Lucia CarboneiD21 papers · Oregon National Primate Research Center

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:non-human primate· 3 Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Approach:experimental assay· 1 Organism:human· 1 Research Focus:imputation· 1 Organism:mouse· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Amanda Vinson· 1 shared Andrew Adey· 1 shared Andrew J. Fields· 1 shared August E Woerner· 1 shared Ben N Bimber· 1 shared Betsy Ferguson· 1 shared Eliot Spindel· 1 shared Frank J. Steemers· 1 shared

Activity by Year

2014-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperGenomics

Amanda Vinson

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3 papers

Recent·Most cited

Construction of thousands of single cell genome sequencing libraries using combinatorial indexing

Sarah A. Vitak, Kristof A. Torkenczy, Jimi L. Rosenkrantz, Andrew J. Fields, Lena Christiansen, Melissa H. Wong, Lucia Carbone, Frank J. Steemers, Andrew Adey

The paper introduces SCI-seq, a method to generate thousands of low-cost single-cell libraries for somatic copy number variant detection across various tissues.

bioRxiv · Jul 23, 2016 · PreprintGenomics

Whole-genome characterization in pedigreed non-human primates using Genotyping-By-Sequencing and imputation.

Ben N Bimber, Michael J Raboin, John Letaw, Kimberly Nevonen, Jennifer E Spindel, Susan McCouch, Rita Cervera-Juanes, Eliot Spindel, Lucia Carbone, Betsy Ferguson, Amanda Vinson

The paper develops a cost-effective method to impute whole-genome sequence data in pedigreed non-human primates using Genotyping-By-Sequencing and the GIGI algorithm, achieving high accuracy with fewer sequenced individuals.

bioRxiv · Mar 12, 2016Genomics

An Approximate Bayesian Computation Approach to Examining the Phylogenetic Relationships among the Four Gibbon Genera using Whole Genome Sequence Data

Krishna Veeramah, August E Woerner, Laurel Johnstone, Ivo Gut, Marta Gut, Tomas Marques-Bonet, Lucia Carbone, Jeff D Wall, Michael F Hammer

This study uses whole genome sequencing and Approximate Bayesian Computation to examine gibbon phylogenetic relationships, finding that all four genera diverged around 5 Mya with unresolved branching order.

bioRxiv · Sep 22, 2014Genomics