Nano2NGS-Muta

Nano2NGS-Muta converts nanopore long-read sequencing data into short-read formats to enable NGS-like hotspot mutation detection and to reduce false positives and false negatives caused by non-random errors and insertion–deletion (indel) artifacts.

Key Features:

• Long-to-short read conversion: Converts nanopore long reads into short-read formats compatible with NGS analysis workflows.
• Hotspot mutation detection: Enables detection of hotspot mutations from nanopore-derived sequences.
• NGS workflow compatibility: Produces outputs that can be processed through established NGS analysis pipelines.
• Error and indel mitigation: Mitigates false positives and false negatives arising from non-random sequencing errors and unexpected insertion–deletion (indel) events.
• Statistical integration: Integrates statistical methods with converted sequences to enhance mutation-detection accuracy.
• Bridging sequencing modalities: Facilitates application of short-read NGS-like pipelines to long-read nanopore data.

Scientific Applications:

• Hotspot mutation analysis: Detection and analysis of hotspot mutations from nanopore sequencing data for research and clinical studies.
• Improved variant calling: Reduction of indel- and error-induced false positives and false negatives in variant calling from nanopore data.
• Integration of long- and short-read analyses: Application of established NGS-like pipelines to nanopore-derived data to broaden analytical approaches.

Methodology:

Converts nanopore long reads into short reads, processes them through established NGS analysis workflows, and applies statistical methods to mitigate non-random sequencing errors and insertion–deletion (indel) artifacts.