Author

Vladimir Jojic

Calico Life Sciences

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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Bioinformatics· 4 Genetics· 1 Physiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 7 Organism:mouse· 5 Research Focus:benchmarking· 3 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Andrea Di FrancescoiD· 3 shared Anil RajiD· 3 shared Adam FreundiD· 2 shared G.V. PrateekiD· 2 shared Gary A. ChurchilliD· 2 shared Kevin M. WrightiD· 2 shared Zhenghao CheniD· 2 shared Adam Baker· 1 shared

Activity by Year

2017-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersPhysiology

Andrea Di FrancescoORCID

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Author profile →

7 papers

Recent·Most cited

Longitudinal analysis of body weight reveals homeostatic and adaptive traits linked to lifespan in diversity outbred mice

G.V. Prateek, Zhenghao Chen, Kevin M. Wright, Andrea Di Francesco, Vladimir Jojic, Gary A. Churchill, Anil Raj

The paper analyzes longitudinal body weight data in mice to identify traits linked to lifespan, finding heritable traits associated with energy homeostasis and longevity.

Nature Communications · Jan 19, 2026Peer-reviewedPhysiology

Age and diet shape the genetic architecture of body weight in Diversity Outbred mice

Kevin M. Wright, Andrew G. Deighan, Andrea Di Francesco, Adam Freund, Vladimir Jojic, Gary A. Churchill, Anil Raj

The paper quantifies diet-dependent genetic contributions to body weight in mice and identifies loci associated with age- and diet-dependent body weight variation.

eLife · May 23, 2022Peer-reviewedGenetics

Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice

Zhenghao Chen, Anil Raj, G.V. Prateek, Andrea Di Francesco, Justin Liu, Brice E. Keyes, Ganesh Kolumam, Vladimir Jojic, Adam Freund

This study develops a high-dimensional phenotyping platform to evaluate physiological aging and resilience in mice, finding that aging begins early and resilience declines with age.

eLife · Mar 30, 2022Peer-reviewedSystems Biology

Precise Estimation of In Vivo Protein Turnover Rates

Jonathon J. O’Brien, Vikram Narayan, Yao Liang Wong, Phillip Seitzer, Celeste M. Sandoval, Nicole Haste, Megan Smith, Ramin Rad, Aleksandr Gaun, Adam Baker, Matthew A. Kukurugya, Baby Martin-McNulty, Chunlian Zhang, Ganesh A. Kolumam, Carmela Sidrauski, , Rochelle Buffenstein

This paper introduces a new framework to estimate in vivo protein turnover rates by addressing labeling identification and amino acid enrichment challenges, revealing differences in protein turnover between mice and naked mole-rats.

bioRxiv · Nov 10, 2020 · PreprintBioinformatics

Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems

Tal Shay, Vladimir Jojic, Or Zuk, Christophe O. Benoist, Daphne Koller, Aviv Regev

This study compares gene modules in human and mouse immune cells, finding conserved transcriptional organization but divergent regulatory mechanisms.

bioRxiv · May 8, 2018 · PreprintBioinformatics

Efficient online-group-screening designs for agent identification

Tianxiang Gao, Omri M. Finkel, Jeff Dangl, Vladimir Jojic

The paper introduces an online-group-screening method to efficiently identify causal agents in high-throughput experiments, reducing the number of required tests by up to 80% in worst-case scenarios.

bioRxiv · Nov 17, 2017 · PreprintBioinformatics

Tradict enables accurate prediction of eukaryotic transcriptional states from 100 marker genes

Surojit Biswas, Konstantin Kerner, Paulo José Pereira Lima Teixeira, Jeffery L. Dangl, Vladimir Jojic, Philip A. Wigge

Tradict predicts transcriptome-wide gene abundances and transcriptional programs using 100 marker genes, showing robustness and accuracy across 23,000 RNA-Seq datasets.

Nature Communications · May 5, 2017Peer-reviewedBioinformatics