NANOBLAST: Python Tool for Raw Nanopore Signal Processing
but.event.date | 23.04.2024 | cs |
but.event.title | STUDENT EEICT 2024 | cs |
dc.contributor.author | Suriak, Martin | |
dc.contributor.author | Nykrýnová, Markéta | |
dc.date.accessioned | 2024-07-09T07:38:39Z | |
dc.date.available | 2024-07-09T07:38:39Z | |
dc.date.issued | 2024 | cs |
dc.description.abstract | Oxford Nanopore Technologies’ sequencers enable direct real-time DNA/RNA sequencing. While numerous tools aid in analyzing the nanopore output data, offering functions such as visualizing raw signals with highlighted nucleotide positions, none provide a complete solution for exporting analyzed data into a clear, comprehensive file. In response, a Python tool has been developed to streamline various tasks. This includes searching for specific nucleotide sequences using BLAST, plotting raw signals with detected nucleotide bases, and generating a comprehensive file containing all essential information. The tool integrates components for handling raw nanopore data, extracting crucial information from the basecalling process using SAM file handlers, and utilizing a BLAST search engine. Employing a comprehensive algorithm, it can handle both the old FAST5 and the novel POD5 formats, enabling the identification of any nucleotide sequence and its corresponding signal. | en |
dc.format | text | cs |
dc.format.extent | 24-27 | cs |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers. s. 24-27. ISBN 978-80-214-6231-1 | cs |
dc.identifier.isbn | 978-80-214-6231-1 | |
dc.identifier.issn | 2788-1334 | |
dc.identifier.uri | https://hdl.handle.net/11012/249234 | |
dc.language.iso | en | cs |
dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.relation.ispartof | Proceedings I of the 30st Conference STUDENT EEICT 2024: General papers | en |
dc.relation.uri | https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf | cs |
dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
dc.rights.access | openAccess | en |
dc.subject | squiggle | en |
dc.subject | sequencing | en |
dc.subject | signal processing | en |
dc.title | NANOBLAST: Python Tool for Raw Nanopore Signal Processing | en |
dc.type.driver | conferenceObject | en |
dc.type.status | Peer-reviewed | en |
dc.type.version | publishedVersion | en |
eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- 24-eeict-2024.pdf
- Size:
- 3.54 MB
- Format:
- Adobe Portable Document Format
- Description: