Pod5Viewer : a GUI for inspecting raw nanopore sequencing data
| dc.contributor.author | Dietrich, Vincent | |
| dc.contributor.author | Alagna , Nicolò | |
| dc.contributor.author | Helm, Mark | |
| dc.contributor.author | Gerber, Susanne | |
| dc.contributor.author | Butto, Tamer | |
| dc.date.accessioned | 2025-04-24T10:17:47Z | |
| dc.date.available | 2025-04-24T10:17:47Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Motivation Oxford Nanopore Technologies recently adopted the POD5 file format for storing raw nanopore sequencing data. The information stored in these files provides detailed insights into the sequencing features and enhances the understanding of raw nanopore data. However, the process of visualizing the data can be cumbersome, especially for users without programming skills. To address this issue, we developed the pod5Viewer, a GUI application for inspecting POD5 files. Results The pod5Viewer offers straightforward access to raw sequencing data and associated metadata in POD5 files. It includes functionalities for viewing, plotting, and exporting individual reads. Designed with user-friendliness in mind, the pod5Viewer is easy to install and use, making it suitable for users with all technical backgrounds. Availability and implementation The pod5Viewer is available as open source from the pod5Viewer Github repository (https://github.com/dietvin/pod5Viewer) | en |
| dc.identifier.doi | https://doi.org/10.25358/openscience-12052 | |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/12073 | |
| dc.language.iso | eng | |
| dc.rights | CC-BY-4.0 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 610 Medizin | de |
| dc.subject.ddc | 610 Medical sciences | en |
| dc.title | Pod5Viewer : a GUI for inspecting raw nanopore sequencing data | en |
| dc.type | Zeitschriftenaufsatz | |
| jgu.journal.issue | 12 | |
| jgu.journal.title | Bioinformatics | |
| jgu.journal.volume | 40 | |
| jgu.organisation.department | FB 04 Medizin | |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | |
| jgu.organisation.number | 2700 | |
| jgu.organisation.place | Mainz | |
| jgu.organisation.ror | https://ror.org/023b0x485 | |
| jgu.pages.alternative | btae665 | |
| jgu.publisher.doi | 10.1093/bioinformatics/btae665 | |
| jgu.publisher.issn | 1367-4811 | |
| jgu.publisher.name | Oxford University Press | |
| jgu.publisher.place | Oxford | |
| jgu.publisher.year | 2024 | |
| jgu.rights.accessrights | openAccess | |
| jgu.subject.ddccode | 610 | |
| jgu.subject.dfg | Lebenswissenschaften | |
| jgu.type.dinitype | Article | en_GB |
| jgu.type.resource | Text | |
| jgu.type.version | Published version |