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Nanocompore

RNA modifications detection from Nanopore dRNA-Seq data

Install / Use

/learn @tleonardi/Nanocompore
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Nanocompore


GitHub license Python BioRxiv

PyPI version Downloads Build Status


Nanocompore identifies differences in ONT nanopore sequencing raw signal corresponding to RNA modifications by comparing 2 samples

Nanocompore compares 2 ONT nanopore direct RNA sequencing datasets from different experimental conditions expected to have a significant impact on RNA modifications. It is recommended to have at least 2 replicates per condition. For example one can use a control condition with a significantly reduced number of modifications such as a cell line for which a modification writing enzyme was knocked-down or knocked-out. Alternatively, on a smaller scale transcripts of interests could be synthesized in-vitro.

Full documentation is available at http://nanocompore.rna.rocks

Nanocompore

Main authors

  • Mihail Zdravkov - mail {at} mzdravkov.com
  • Logan Mulroney - lmulrone {at} soe.ucsc.edu
  • Adrien Leger - aleg {at} ebi.ac.uk
  • Tommaso Leonardi - tom {at} tleo.io

Related Skills

View on GitHub
GitHub Stars88
CategoryDevelopment
Updated2mo ago
Forks13

Languages

Python

Security Score

100/100

Audited on Jan 12, 2026

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