Author

Adam Baker

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· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1 Assay:proteomics· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Aleksandr GauniD· 1 shared Baby Martin-McNulty· 1 shared Bernd J. WranikiD· 1 shared Bryson D. BennettiD· 1 shared Carmela SidrauskiiD· 1 shared Celeste M. SandovaliD· 1 shared Chunlian ZhangiD· 1 shared David G. HendricksoniD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Aleksandr GaunORCID

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Author profile →

2 papers

Recent·Most cited

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

Time-resolved genome-scale profiling reveals a causal expression network

Sean R. Hackett, Edward A. Baltz, Marc Coram, Bernd J. Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G. Hendrickson, Marc Berndl, R. Scott McIsaac

The paper introduces a method to infer genome-wide regulatory causality using time-resolved gene expression data from yeast and validates its predictions experimentally.

Molecular Systems Biology · Mar 1, 2020Peer-reviewedSystems Biology