Author

Glen Satten

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 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:human· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Peizhou Liao· 2 shared Andrew Allen· 1 shared Henry Richard Johnston· 1 shared Yi-Juan Hu· 1 shared Yijuan Hu· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersBioinformatics

Peizhou Liao

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2 papers

Recent·Most cited

Testing Rare-Variant Association without Calling Genotypes Allows for Systematic Differences in Sequencing between Cases and Controls

Yi-Juan Hu, Peizhou Liao, Henry Richard Johnston, Andrew Allen, Glen Satten

The paper introduces a likelihood-based method to test rare variant associations without genotype calling, showing robustness to sequencing differences and identifying novel variants in childhood obesity.

PLOS Genetics · May 6, 2016Peer-reviewedBioinformatics

PhredEM: A Phred-Score-Informed Genotype-Calling Approach for Next-Generation Sequencing Studies

Peizhou Liao, Glen Satten, Yijuan Hu

PhredEM improves genotype calling by integrating phred scores into a likelihood-based approach, showing better performance on simulated and real sequencing data.

bioRxiv · Mar 29, 2016Genetics