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NANOSLAST: Nanopore Signal Local Alignment and Segmentation Tool

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198637" target="_blank" >RIV/00216305:26220/26:0198637 - isvavai.cz</a>

  • Result on the web

    <a href="https://international-aset.net/avestia.com/EECSS2025_Proceedings/files/paper/ICBES/ICBES_151.pdf" target="_blank" >https://international-aset.net/avestia.com/EECSS2025_Proceedings/files/paper/ICBES/ICBES_151.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11159/icbes25.151" target="_blank" >10.11159/icbes25.151</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    NANOSLAST: Nanopore Signal Local Alignment and Segmentation Tool

  • Original language description

    Nanopore sequencing provided by Oxford Nanopore Technologies enables real-time analysis of native DNA or RNA molecules based on measured electrical signals called squiggles. While basecalling algorithms translate squiggles into nucleotide sequences, much of the raw signal information remains unexplored. Although several tools exist for inspecting the squiggles and offer simple signal visualization, they do not provide integrated workflows that allow users to search for specific nucleotide sequences and directly extract or visualize the corresponding raw signal segments. To address this gap, we developed NANOSLAST – a Nanopore Signal Local Alignment and Search Tool. This Python-based tool links local sequence similarity searches (via BLAST) to raw nanopore signals using basecalled SAM files and signal data from FAST5 or POD5 formats. The tool can be used to extract signals corresponding to specific motifs or functional elements, compare raw signal characteristics between different flowcells or sequencers or extract signal– sequence pairs suitable for training machine learning models focused on basecalling, methylation detection or other purposes.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science

  • ISBN

    978-1-990800-61-0

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    Avestia Publishing

  • Place of publication

  • Event location

    Paříž

  • Event date

    Aug 17, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article