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Related Experiment Videos

MTT: a software tool for quality control in sequence assembly

E Veklerov1, F H Eeckman, C H Martin

  • 1Lawrence Berkeley National Laboratory, University of California, Berkeley, USA.

Microbial & Comparative Genomics
|January 1, 1996
PubMed
Summary
This summary is machine-generated.

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A new software tool, Move-Track-Trim (MTT), identifies and flags low-quality sequencing data lanes early in the process. This quality control prevents data harm during sequence assembly and improves overall genomic data integrity.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale sequencing projects generate substantial trace data.
  • A significant portion of this data can be of low quality, impacting downstream analysis.
  • Early detection of poor-quality data is crucial for efficient sequence assembly.

Purpose of the Study:

  • To introduce a novel software package for analyzing and controlling the quality of sequencing data lanes.
  • To develop a tool that can identify and flag low-quality data before sequence assembly.
  • To provide users with control over data quality assessment and management.

Main Methods:

  • The Move-Track-Trim (MTT) software package analyzes sequencing lanes.
  • Each lane undergoes a series of quality control tests.

Related Experiment Videos

  • Lanes failing tests are flagged as 'bad,' with options for user review and reclassification.

    • Main Results:

    • MTT effectively identifies and flags low-quality sequencing lanes.
    • Users can review and reclassify flagged lanes or choose to exclude them.
    • The software also performs lane trimming, file compression, and data organization for assembly.

    Conclusions:

    • MTT is an effective tool for quality control in large-scale sequencing projects.
    • Early detection and management of low-quality data improve sequence assembly efficiency.
    • MTT provides valuable statistics on gel quality, aiding data interpretation.