Author

Shubhi Saini

Indian Institute of Technology DelhiORCID 0009-0007-1461-8820Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 2 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

G GuptaiD· 1 shared Gaurav GuptaiD· 1 shared Kolin PauliD· 1 shared Prakhar GaneshiD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

G GuptaORCID

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2 papers

Recent·Most cited

BioinformaticsMachine Learning Science and TechnologyPeer-reviewedMar 9, 2020

DAVI:Deep Learning Based Tool for Alignment and Single Nucleotide Variant identification

G Gupta, Shubhi Saini

DAVI is a deep learning tool for alignment and SNV identification that performs comparably to existing tools across different NGS technologies.

9 citations

whole-genome sequencingdeep learning

𝕏 PostBluesky

GenomicsbioRxivPreprintAug 29, 2018

Nucl2Vec: Local alignment of DNA sequences using Distributed Vector Representation

Prakhar Ganesh, Gaurav Gupta, Shubhi Saini, Kolin Paul

The paper introduces Nucl2Vec, a method using Skip-gram and k-nearest neighbor for efficient local DNA sequence alignment, achieving comparable accuracy to BWA-MEM with reduced computation cost.

1 citation

whole-genome sequencingstatistical model

𝕏 PostBluesky