signalAlign

SignalAlign maps cytosine and adenosine DNA methylation by analyzing ionic current signals produced by Oxford Nanopore Technologies MinION nanopore sequencing to localize methylation sites across genomes.


Key Features:

  • Methylation detection: Identifies DNA chemical modifications focusing on cytosine and adenosine methylation from nanopore signal data.
  • Nanopore sequencing integration: Operates on ionic current signals generated by Oxford Nanopore Technologies MinION sequencers.
  • Variant mapping: Maps three cytosine variants and two adenine variants to provide variant-specific methylation calls.
  • Signal-level analysis: Interprets raw ionic current traces to associate signal deviations with nucleotide modifications.
  • Quantitative sensitivity: Detects variations in methylation levels enabling comparative analysis across conditions such as growth phases.

Scientific Applications:

  • Genomic function regulation: Maps methylation patterns to study how DNA chemical modifications regulate genomic functions.
  • Microbial studies: Applied to Escherichia coli to detect changes in methylation levels across different growth phases, supporting microbial genomics and epigenetics research.

Methodology:

Interprets ionic current signals produced by the MinION sequencer to map methylation sites and distinguish three cytosine variants and two adenine variants, detecting variation in methylation levels.

Topics

Details

License:
MIT
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Python
Added:
6/11/2018
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Rand AC, Jain M, Eizenga JM, Musselman-Brown A, Olsen HE, Akeson M, Paten B. Mapping DNA methylation with high-throughput nanopore sequencing. Nature Methods. 2017;14(4):411-413. doi:10.1038/nmeth.4189. PMID:28218897. PMCID:PMC5704956.

Documentation

Downloads