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Related Experiment Videos

ASHLEYS: automated quality control for single-cell Strand-seq data.

Christina Gros1, Ashley D Sanders2, Jan O Korbel2

  • 1Center for Bioinformatics Saar, Saarland University, 66123 Saarbrücken, Germany.

Bioinformatics (Oxford, England)
|April 1, 2021
PubMed
Summary
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ASHLEYS automates quality control for single-cell DNA template strand sequencing (Strand-seq) libraries. This tool significantly speeds up the analysis of large datasets, matching expert performance for haplotype phasing and variant discovery.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Single-cell DNA template strand sequencing (Strand-seq) is crucial for genomic analyses.
  • Manual quality control of numerous single-cell libraries is time-consuming and requires specialized expertise.

Purpose of the Study:

  • To develop an automated solution for the quality control of Strand-seq libraries.
  • To improve the efficiency and scalability of genomic data analysis.

Main Methods:

  • Development of ASHLEYS, an automated quality control tool for Strand-seq.
  • Implementation of algorithms to assess library quality and performance.

Main Results:

  • ASHLEYS automates the quality control of thousands of single-cell libraries.

Related Experiment Videos

  • The tool achieves near-expert performance in assessing library quality.
  • ASHLEYS processes large datasets rapidly, labeling them in seconds.

    • Conclusions:

    • ASHLEYS significantly streamlines the quality control process for Strand-seq data.
    • Automation enhances the feasibility of large-scale genomic studies using Strand-seq.
    • The tool supports key applications like haplotype phasing and structural variant discovery.