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SURIAK, M. NYKRÝNOVÁ, M.
Original Title
NANOBLAST: Python Tool for Raw Nanopore Signal Processing
Type
article in a collection out of WoS and Scopus
Language
English
Original 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.
Keywords
squiggle; sequencing; signal processing
Authors
SURIAK, M.; NYKRÝNOVÁ, M.
Released
23. 4. 2024
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno, Czech Republic
ISBN
978-80-214-6231-1
Book
Proceedings I of the 30th Conference STUDENT EEICT 2024
Edition
1
Pages from
24
Pages to
27
Pages count
4
URL
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf
BibTex
@inproceedings{BUT188940, author="Martin {Suriak} and Markéta {Jakubíčková}", title="NANOBLAST: Python Tool for Raw Nanopore Signal Processing", booktitle="Proceedings I of the 30th Conference STUDENT EEICT 2024", year="2024", series="1", pages="24--27", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno, Czech Republic", isbn="978-80-214-6231-1", url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2024_sbornik_1.pdf" }