Author

Sasha P. Jenner

Garvan Institute of Medical Research

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· 3 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:long-read sequencing· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Hasindu GamaarachchiiD· 4 shared Ira W. DevesoniD· 4 shared Hiruna SamarakooniD· 3 shared James M. FergusoniD· 3 shared Hassaan SaadatiD· 2 shared Sri ParameswaraniD· 2 shared Timothy G. AmosiD· 2 shared David TaubmaniD· 1 shared

Activity by Year

2021-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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4 shared papersBioinformatics

Hasindu GamaarachchiORCID

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Author profile →

4 papers

Recent·Most cited

A new compression strategy to reduce the size of nanopore sequencing data

Kavindu Jayasooriya, Sasha P. Jenner, Pasindu Marasinghe, Udith Senanayake, Hassaan Saadat, David Taubman, Roshan Ragel, Hasindu Gamaarachchi, Ira W. Deveson

This paper introduces ex-zd, a compression strategy for nanopore sequencing data that reduces file sizes by removing redundant bits without affecting downstream analyses.

Genome Research · Jul 1, 2025Peer-reviewedBioinformatics

The enduring advantages of the SLOW5 file format for raw nanopore sequencing data

Hasindu Gamaarachchi, Sasha P. Jenner, Hiruna Samarakoon, James M. Ferguson, Ira W. Deveson

This paper compares POD5 and SLOW5 file formats for nanopore sequencing data, finding SLOW5 offers better performance, lower cost, and easier management.

GigaScience · Jan 1, 2025Peer-reviewedBioinformatics

Flexible and efficient handling of nanopore sequencing signal data with slow5tools

Hiruna Samarakoon, James M. Ferguson, Sasha P. Jenner, Timothy G. Amos, Sri Parameswaran, Hasindu Gamaarachchi, Ira W. Deveson

slow5tools converts and manipulates nanopore sequencing data in the SLOW5 format, offering efficient and flexible data handling with performance improvements over FAST5.

Genome biology · Apr 6, 2023Peer-reviewedBioinformatics

SLOW5: a new file format enables massive acceleration of nanopore sequencing data analysis

Hasindu Gamaarachchi, Hiruna Samarakoon, Sasha P. Jenner, James M. Ferguson, Timothy G. Amos, J. W. Hammond, Hassaan Saadat, Martin A. Smith, Sri Parameswaran, Ira W. Deveson

The paper introduces SLOW5, a new file format for nanopore sequencing data that accelerates analysis on HPC systems by enabling efficient parallelization.

bioRxiv · Jun 29, 2021 · PreprintGenomics