SequelTools
SequelTools performs quality control, read subsampling, and read filtering for raw PacBio Sequel long-read sequence data to generate statistics and plots for downstream genomic analyses.
Key Features:
- Quality Control (QC): Processes raw sequence data from multiple SMRT cells and produces statistics and publication-quality plots including N50, read length and count statistics, Pulse Signal Ratio (PSR), and Zero-Offset Rate (ZOR).
- Read Subsampling: Subsamples reads by selecting the longest subreads per Circular Consensus Read (CLR) or by random CLR selection.
- Read Filtering: Filters out low-quality scraps reads and applies a minimum CLR length threshold to normalize datasets for downstream analysis.
Scientific Applications:
- Genome Assembly and Annotation: Provides high-quality filtered long reads to support accurate genome assembly and annotation.
- Epigenetic Studies: Supports detection of methylated bases in PacBio Sequel data for epigenomic analyses.
- Structural Variant Detection: Provides high-fidelity long reads suitable for identifying structural variants within genomes.
Methodology:
Implemented using bash, R, and Python and relying only on standard libraries and packages.
Topics
Details
- License:
- GPL-3.0
- Programming Languages:
- Shell, R, Python, Bash
- Added:
- 1/18/2021
- Last Updated:
- 2/16/2021
Operations
Publications
Hufnagel DE, Hufford MB, Seetharam AS. SequelTools: a suite of tools for working with PacBio Sequel raw sequence data. BMC Bioinformatics. 2020;21(1). doi:10.1186/s12859-020-03751-8. PMID:33004007. PMCID:PMC7532105.