Author

Raghavendra Padmanabhan

Georgia Institute of Technology

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 Genetics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Organism:C. elegans· 1 Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Chang XuiD· 2 shared John DiCarlo· 2 shared Yexun WangiD· 2 shared Edward E. LargeiD· 1 shared Frank Reinecke· 1 shared Kathie L. Watkins· 1 shared Patrick T. McGrathiD· 1 shared Quan Peng· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Chang XuORCID

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3 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

Modeling of a negative feedback mechanism explains age-dependent genetic architecture in reproduction in domesticated C. elegans strains

Edward E. Large, Raghavendra Padmanabhan, Kathie L. Watkins, Richard F. Campbell, Wen Xie Xu, Patrick T. McGrath

The paper models a negative feedback mechanism in C. elegans to explain age-dependent genetic architecture in reproduction, identifying how epistasis and sperm use influence egg-laying rates.

PLoS Genetics · May 11, 2017Peer-reviewedGenetics