A graphical, interactive and GPU-enabled workflow to process long-read sequencing data

A graphical, interactive and GPU-enabled workflow to process long-read sequencing data

Abstract Background Long-read sequencing has great promise in enabling portable, rapid molecular-assisted cancer diagnoses. A key challenge in democratizing long-read sequencing technology in the biomedical and clinical community is the lack of graphical bioinformatics software tools which can effic...

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Bibliographic Details
Main Authors: Shishir Reddy, Ling-Hong Hung, Olga Sala-Torra, Jerald P. Radich, Cecilia CS Yeung, Ka Yee Yeung
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Genomics
Subjects:
Cancer diagnostics
Workflows
Cloud computing
Nanopore
GPU
FAIR
Online Access:https://doi.org/10.1186/s12864-021-07927-1

Internet

https://doi.org/10.1186/s12864-021-07927-1

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