NanoPipe
NanoPipe analyzes sequencing data produced by Oxford Nanopore Technologies' MinION to compute alignments, generate consensus sequences, extract polymorphisms, and visualize alignments for genomic and diagnostic applications.
Key Features:
- MinION long-read support: Processes sequencing data from Oxford Nanopore Technologies' MinION long-read platform.
- Alignment statistics: Computes alignment statistics for mapped reads.
- Consensus sequence generation: Generates consensus sequences from aligned reads.
- Polymorphism extraction: Extracts polymorphisms and variant information from alignment data.
- Alignment visualization: Produces visualizations of sequence alignments.
- Flexible alignment parameters: Provides adjustable alignment parameters tailored to MinION sequencing characteristics.
- Validated performance: Has demonstrated efficiency and reliability through multiple test cases.
Scientific Applications:
- Field sequencing: Enables rapid analysis of MinION data generated in field studies for timely results.
- Evolutionary biology: Supports detection of polymorphisms and consensus sequences for phylogenetic and population studies.
- Genomics: Facilitates alignment-based analyses and consensus generation for genome characterization.
- Medical diagnostics: Provides variant extraction and alignment summaries applicable to diagnostic sequencing workflows.
Methodology:
Computational steps explicitly include read alignment, computation of alignment statistics, consensus sequence generation, polymorphism extraction, and visualization of alignments with adjustable alignment parameters for MinION data.
Topics
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C++
- Added:
- 7/4/2019
- Last Updated:
- 6/16/2020
Operations
Data Inputs & Outputs
Publications
Shabardina V, Kischka T, Manske F, Grundmann N, Frith MC, Suzuki Y, Makałowski W. NanoPipe—a web server for nanopore MinION sequencing data analysis. GigaScience. 2019;8(2). doi:10.1093/gigascience/giy169. PMID:30689855. PMCID:PMC6377397.
Documentation
Downloads
Links
Issue tracker
https://github.com/IOB-Muenster/nanopipe2/issues