Author

K. Tatwawadi

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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Bioengineering· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Assay:long-read sequencing· 1 Approach:statistical model· 1

Frequent Co-Authors

B. Lau· 2 shared H. Ji· 2 shared J. Mardia· 2 shared J. Neu· 2 shared M. Kubit· 2 shared M. Wootters· 2 shared P. Griffin· 2 shared S. Chandak· 2 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioengineering

B. Lau

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintDec 20, 2019

Overcoming high nanopore basecaller error rates for DNA storage via basecaller-decoder integration and convolutional codes

S. Chandak, J. Neu, K. Tatwawadi…·H. Ji

The paper reduces nanopore DNA sequencing error rates by integrating a Viterbi decoder with a basecaller and using convolutional codes, achieving lower reading costs than existing methods.

DOI 10.1101/2019.12.20.871939

long-read sequencingdeep learning

𝕏 PostBluesky

BioengineeringbioRxivPreprintSep 27, 2019

Improved read/write cost tradeoff in DNA-based data storage using LDPC codes

S. Chandak, K. Tatwawadi, B. Lau…·H. Ji

This paper improves the read/write cost tradeoff in DNA-based storage by using a single LDPC code for both erasure and error correction, achieving 30-40% lower reading costs on experimental data.

DOI 10.1101/770032

DNA methylationdeep learning

𝕏 PostBluesky