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.

PMID: 33004007
PMCID: PMC7532105
Funding: - National Science Foundation: Grant number IOS-1744001