Author

Liz Kerrigan

American Type Culture Collection

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 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Andreas SchereriD· 2 shared Baitang NingiD· 2 shared Bao Quoc TraniD· 2 shared Ben Ernest· 2 shared Bin ZhuiD· 2 shared Charles LuiD· 2 shared Charles WangiD· 2 shared Christopher E. MasoniD· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Andreas SchererORCID

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2 papers

Recent·Most cited

Establishing reference samples for detection of somatic mutations and germline variants with NGS technologies

Li Tai Fang, Bin Zhu, Yongmei Zhao, Wanqiu Chen, Zhaowei Yang, Liz Kerrigan, Kurt J. Langenbach, Maryellen de Mars, Charles Lu, Kenneth B. Idler, Howard J. Jacob, Yuanting Zheng, Luyao Ren, Ying Yu, Erich B. Jaeger, , Paul G. Giresi

The paper establishes reference samples with high-coverage whole-genome sequencing to create truth sets for somatic mutation and germline variant detection using NGS technologies.

Nature Biotechnology · Sep 1, 2021Peer-reviewedBioinformatics

Achieving reproducibility and accuracy in cancer mutation detection with whole-genome and whole-exome sequencing

Wenming Xiao, Luyao Ren, Zhong Chen, Li Tai Fang, Yongmei Zhao, Justin Lack, Meijian Guan, Bin Zhu, Erich B. Jaeger, Liz Kerrigan, Thomas M. Blomquist, Tiffany Hung, Marc Sultan, Kenneth B. Idler, Charles Lu, , Leming M. Shi

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

Nature Biotechnology · Sep 1, 2021Peer-reviewedGenomics