V
Vladimir Jojic
Researcher at University of North Carolina at Chapel Hill
Publications - 74
Citations - 5599
Vladimir Jojic is an academic researcher from University of North Carolina at Chapel Hill. The author has contributed to research in topics: Population & Immune system. The author has an hindex of 25, co-authored 70 publications receiving 4426 citations. Previous affiliations of Vladimir Jojic include Stanford University & University of Toronto.
Papers
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Proceedings ArticleDOI
Joint discovery of haplotype blocks and complex trait associations from SNP sequences
TL;DR: A hierarchical statistical model and the associated learning and inference algorithms that simultaneously deal with the allele ambiguity per locus, missing data, block estimation, and the complex trait association are presented.
Posted ContentDOI
Precise Estimation of In Vivo Protein Turnover Rates
Jonathon J. O’Brien,Vikram Narayan,Yao Wong,Phillip Seitzer,Celeste M. Sandoval,Nicole V Haste,Megan Smith,Ramin Rad,Aleksandr Gaun,Adam Baker,Matthew Kukurugya,Baby Martin-McNulty,Chunlian Zhang,Ganesh Kolumam,Carmela Sidrauski,Vladimir Jojic,Fiona E. McAllister,Bryson Bennett,Rochelle Buffenstein +18 more
TL;DR: Increased identifications from CIDS along with direct measurement of amino acid enrichment and statistical modeling that accounts for heterogeneous information across peptides, dramatically improves the accuracy and precision of half-life estimates.
Patent
Association-based epitome design
Simon Mallal,David Heckerman,Nebojsa Jojic,Vladimir Jojic,Christopher A. Meek,Corey Moore,Carl M. Kadie +6 more
TL;DR: In this paper, a set of overlapping sequences comprising sequences that are known to be and/or are likely to be immunogenic are used to determine an epitope, and a collection of the plurality of sequences is optimized according to one or more criteria to determine the epitome.
Book ChapterDOI
An Alignment-Free Regression Approach for Estimating Allele-Specific Expression Using RNA-Seq Data
TL;DR: This work first uses parental RNA-seq reads to discover maternal and paternal versions of transcript sequences, and estimates abundance levels of transcripts in the hybrid animal using a modified lasso linear regression model.
Proceedings Article
Using Epitomes To Model Genetic Diversity: Rational Design Of HIV Vaccines
TL;DR: In this paper, the authors introduce a new model of genetic diversity which summarizes a large input dataset into an epitome, a short sequence or a small set of short sequences of probability distributions capturing many overlapping subsequences from the dataset.