Sequoia: an interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets.

ABSTRACT:

Background

Direct-sequencing technologies, such as Oxford Nanopore's, are delivering long RNA reads with great efficacy and convenience. These technologies afford an ability to detect post-transcriptional modifications at a single-molecule resolution, promising new insights into the functional roles of RNA. However, realizing this potential requires new tools to analyze and explore this type of data.

Result

Here, we present Sequoia, a visual analytics tool that allows users to interactively explore nanopore sequences. Sequoia combines a Python-based backend with a multi-view visualization interface, enabling users to import raw nanopore sequencing data in a Fast5 format, cluster sequences based on electric-current similarities, and drill-down onto signals to identify propert

SUBMITTER: Koonchanok R 

PROVIDER: S-EPMC8262049 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature