Author

Priyanka Ghosh

Washington State UniversityORCID 0000-0002-9812-0689Unclaimed 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:benchmarking· 2 Research Focus:genome assembly· 2 Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Approach:experimental assay· 1 Approach:graph neural network· 1

Frequent Co-Authors

Sriram KrishnamoorthyiD· 2 shared Ananth KalyanaramaniD· 1 shared Ananth KalyanaramaniD· 1 shared Aravind Sukumaran-RajamiD· 1 shared Patrick Keppler· 1 shared Ponnuswamy SadayappaniD· 1 shared Süreyya Emre Kurt· 1 shared Ümit V. ÇatalyürekiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 29 mutual co-author links

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2 shared papersGenomics

Sriram KrishnamoorthyORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintMay 22, 2022

BOA: A Partitioned View of Genome Assembly

Priyanka Ghosh, Xiaojing An, Patrick Keppler…·Ananth Kalyanaraman

BOA improves genome assembly quality and performance by using partitioning techniques to enable parallel processing of reads.

DOI 10.1101/2022.05.22.492973

whole-genome sequencinggraph neural network

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 17, 2019

PaKman: Scalable Assembly of Large Genomes on Distributed Memory Machines

Priyanka Ghosh, Sriram Krishnamoorthy, Ananth Kalyanaraman

PaKman improves large-scale genome assembly by reducing communication and I/O overhead, achieving near-linear speedups on 8K cores and outperforming existing tools.

DOI 10.1101/523068

whole-genome sequencingstatistical model

𝕏 PostBluesky