Author

Suparna Ganguly Saha

Indian Statistical Institute

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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Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:virus· 2 Assay:whole-genome sequencing· 2

Frequent Co-Authors

Malay BhattacharyyaiD· 2 shared Sanghamitra BandyopadhyayiD· 2 shared Sourav BiswasiD· 1 shared Sourav BiswasiD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersBioinformatics

Malay BhattacharyyaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 4, 2020

Motif Analysis in k-mer Networks: An Approach towards Understanding SARS-CoV-2 Geographical Shifts

Sourav Biswas, Suparna Ganguly Saha, Sanghamitra Bandyopadhyay, Malay Bhattacharyya

The paper uses k-mer distributions to predict the geographical origin of SARS-CoV-2 sequences with over 90% accuracy by under-sampling imbalanced data.

DOI 10.1101/2020.10.04.325662

viruswhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintApr 24, 2020

Tracing Back the Temporal Change of SARS-CoV-2 with Genomic Signatures

Sourav Biswas, Suparna Ganguly Saha, Sanghamitra Bandyopadhyay, Malay Bhattacharyya

The paper analyzes early SARS-CoV-2 genomic sequences to trace their temporal changes and finds that n-mer distributions can predict collection timelines with 78% accuracy.

2 citations

viruswhole-genome sequencing

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