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 efficiently process the raw nanopore reads, support graphical output and interactive visualizations for interpretations of results. Another obstacle is that high performance software tools for long-read sequencing data analyses often leverage graphics processing units (GPU), which is challenging and time-consuming to configure, especially on the cloud.

Results

We present a graphical cloud-enabled workflow for fast, interactive analysis of nanopore sequencing data using GPUs. Users customize par

SUBMITTER: Reddy S 

PROVIDER: S-EPMC8381503 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature