Author

Sriram Krishnamoorthy

Google (United States)ORCID 0000-0002-4682-1002Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Sriram Krishnamoorthy1 paper

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

Priyanka GhoshiD· 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

Priyanka GhoshORCID

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2 papers

Recent·Most cited

BOA: A Partitioned View of Genome Assembly

Priyanka Ghosh, Xiaojing An, Patrick Keppler, Süreyya Emre Kurt, Ümit V. Çatalyürek, Sriram Krishnamoorthy, Ponnuswamy Sadayappan, Aravind Sukumaran-Rajam, Ananth Kalyanaraman

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

bioRxiv · May 22, 2022 · PreprintGenomics

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.

bioRxiv · Jan 17, 2019 · PreprintBioinformatics