Author

John DiCarlo

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· 2

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Chang XuiD· 2 shared Raghavendra Padmanabhan· 2 shared Yexun WangiD· 2 shared Frank Reinecke· 1 shared Quan Peng· 1 shared Xiujing Gu· 1 shared Zhong WuiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Chang XuORCID

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2 papers

Recent·Most cited

Predicting primer and panel off-target rate in QIAseq targeted DNA panels using convolutional neural networks

Chang Xu, Raghavendra Padmanabhan, Frank Reinecke, John DiCarlo, Yexun Wang

The paper develops a CNN model to predict off-target rates in QIAseq DNA panels, achieving accurate predictions and aiding primer selection.

bioRxiv · Jul 13, 2020 · PreprintBioinformatics

smCounter2: an accurate low-frequency variant caller for targeted sequencing data with unique molecular identifiers

Chang Xu, Xiujing Gu, Raghavendra Padmanabhan, Zhong Wu, Quan Peng, John DiCarlo, Yexun Wang

smCounter2 improves variant calling for targeted sequencing data by reducing technical errors and enhancing accuracy, particularly in non-coding regions.

Bioinformatics · Sep 5, 2018Peer-reviewedBioinformatics