Author

Azeet Narayan

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Open access Oct 2026

Comprehensive benchmarking of somatic mutation detection by the SMaHT Network.

Somatic mosaicism is increasingly recognized as a fundamental feature of human biology, yet the detection of somatic mutations remains challenging. The Somatic Mosaicism across Human Tissues (SMaHT) Network conducted large-scale benchmarking experiments involving cell lines and donor tissues to evaluate sequencing tech...

A. Abyzov, Abhiram Natu, Adam Voshall et al. · Cell · 1 citation

Open access Oct 2026

Detecting low-allele-fraction mosaic mutations: A multi-institution benchmarking with cell-line mixtures.

This work establishes a framework and best practices for reliably detecting low-VAF mutations in non-cancer tissues and provides a valuable resource for the community.

Y.-J. Ha, Dominika Maziec, J. Markowski et al. · Cell Genomics · 2 citations

Review Jul 2026

Highly Accurate Sequencing Methods for Low-Frequency Variant Detection.

Highly accurate sequencing approaches have substantially improved the detection of low-frequency variants by reducing technical artifacts and enhancing signal-to-noise ratios.

Farzaneh Darbeheshti, Azeet Narayan, Hayet Radia Zeggar et al. · Clinical Chemistry · 0 citations