Author

Ankit Sethia

Nvidia (United Kingdom)

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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Assay:whole-exome sequencing· 2 Assay:whole-genome sequencing· 2 Assay:DNA methylation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Tong Zhu· 2 shared Abhishek Nair· 1 shared Al Dunstan· 1 shared Alejandro ChacóniD· 1 shared Anil GaihreiD· 1 shared Babak Zamirai· 1 shared Daniel F. Puleri· 1 shared Jonathan Cohen· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Tong Zhu

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2 papers

Recent·Most cited

Parabricks: GPU Accelerated Universal Pan-Instrument Genomics Analysis Software Suite

Tong Zhu, Pankaj Vats, Seth Onken, Al Dunstan, Babak Zamirai, Daniel F. Puleri, Abhishek Nair, Marco Oliva, Anil Gaihre, Priyanka Sadhnani, Shaomeng Li, Kamesh Arumugam, Alejandro Chacón, Milos Maric, Jonathan Cohen, , Mehrzad Samadi

Parabricks accelerates genomic analysis using GPU acceleration, reducing processing time while maintaining accuracy across various sequencing modalities.

bioRxiv · Jul 23, 2025 · PreprintBioinformatics

Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samples

Shuangxi Ji, Tong Zhu, Ankit Sethia, Wenyi Wang

The paper introduces MuSE2.0, a tool that accelerates somatic mutation calling for whole-genome and whole-exome sequencing data from heterogeneous tumor samples, achieving significant speed improvements over existing methods.

Genome Research · Apr 8, 2024Peer-reviewedBioinformatics