Author

Kedar Tatwawadi

Stanford UniversityORCID 0000-0003-3677-4174Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Assay:long-read sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Shubham ChandakiD· 2 shared Tsachy WeissmaniD· 2 shared Billy T. LauiD· 1 shared Hanlee P. JiiD· 1 shared Mary K. WoottersiD· 1 shared Sharmili RoyiD· 1 shared Srivatsan SridhariD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersSynthetic Biology

Shubham ChandakORCID

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2 papers

Recent·Most cited

Synthetic BiologyScientific ReportsPeer-reviewedMay 25, 2023

Magnetic DNA random access memory with nanopore readouts and exponentially-scaled combinatorial addressing

Billy T. Lau, Shubham Chandak, Sharmili Roy…·Hanlee P. Ji

This paper introduces MDRAM, a DNA-based random access memory system that enables efficient and scalable readouts using nanopore sequencing and magnetic bead conjugation.

22 citations

DNA methylationwhole-genome sequencing

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 24, 2020

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Shubham Chandak, Kedar Tatwawadi, Srivatsan Sridhar, Tsachy Weissman

This study evaluates the impact of lossy compression on nanopore sequencing data, showing minimal effects on basecalling and consensus accuracy while significantly reducing storage needs.

7 citations

long-read sequencingstatistical model

𝕏 PostBluesky