Author

Saman P. Amarasinghe

MIT Computer Science and Artificial Intelligence LaboratoryORCID 0000-0002-7231-7643Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Assay:long-read sequencing· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexander T. LeightoniD· 1 shared Ariya ShajiiiD· 1 shared Bonnie BergeriD· 1 shared Haley W. GreenyeriD· 1 shared Ibrahim NumanagićiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Alexander T. LeightonORCID

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1 paper

Recent·Most cited

A Python-based optimization framework for high-performance genomics

Ariya Shajii, Ibrahim Numanagić, Alexander T. Leighton, Haley W. Greenyer, Saman P. Amarasinghe, Bonnie Berger

The paper introduces Seq, a Python-based framework that improves performance in genomics by combining Python's usability with C/C++ efficiency, achieving speedups over existing implementations.

bioRxiv · Oct 29, 2020 · PreprintBioinformatics