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Related Experiment Videos

Two computer programs for rapid entry of DNA sequence data.

H B Jenson1

  • 1Department of Pediatrics, Yale University School of Medicine, New Haven, CT 06510.

Computer Applications in the Biosciences : CABIOS
|November 1, 1987
PubMed
Summary
This summary is machine-generated.

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Two new computer programs, DIGISEQ and TYPESEQ, streamline DNA sequence data entry. These tools enhance accuracy and speed for DNA sequence analysis, compatible with existing bioinformatics software.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Computational Biology

Background:

  • Accurate DNA sequencing data entry is crucial for molecular biology research.
  • Existing methods for DNA sequence data input can be time-consuming and prone to errors.
  • Compatibility with established DNA sequence analysis software is essential for workflow integration.

Purpose of the Study:

  • To introduce two novel computer programs, DIGISEQ and TYPESEQ, designed for efficient and accurate DNA sequence data entry.
  • To provide DNA sequence data files compatible with widely used bioinformatics tools.
  • To reduce the manual effort and potential for human error in DNA sequence data input.

Main Methods:

  • DIGISEQ employs a sonic digitizer for semi-automated sequence entry, correcting for gel lane variations.

Related Experiment Videos

  • TYPESEQ utilizes a reconfigured keyboard layout for rapid nucleotide and ambiguity code input.
  • Both programs incorporate auditory feedback for each entered nucleotide or code to verify accuracy.

    • Main Results:

    • DIGISEQ demonstrates high efficiency and accuracy in correcting for lane width and curvature during sequence entry.
    • TYPESEQ offers a user-friendly keyboard-based alternative, simplifying data input.
    • Auditory verification significantly reduces the need for visual screen checking, minimizing input errors.

    Conclusions:

    • DIGISEQ and TYPESEQ provide effective solutions for accelerating and improving the accuracy of DNA sequence data entry.
    • These programs enhance the usability of DNA sequence data for downstream analysis in various bioinformatics platforms.
    • The developed software contributes to more efficient molecular biology research workflows.