Author

Alexander T. Leighton

Harvard UniversityORCID 0000-0002-7182-0124Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 1 Research Focus:genome assembly· 1 Assay:long-read sequencing· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Ariya ShajiiiD· 1 shared Bonnie BergeriD· 1 shared Haley W. GreenyeriD· 1 shared Ibrahim NumanagićiD· 1 shared Saman P. AmarasingheiD· 1 shared Yun William YuiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Ariya ShajiiORCID

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2 papers

Recent·Most cited

Secure federated Boolean count queries using fully-homomorphic cryptography

Alexander T. Leighton, Yun William Yu

This paper introduces a secure federated Boolean count query method using homomorphic encryption to address data deduplication and record unification challenges in distributed biomedical data.

Lecture notes in computer science · Jan 1, 2024Peer-reviewedBioinformatics

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