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Related Experiment Videos

DNAAlignEditor: DNA alignment editor tool.

Hector Sanchez-Villeda1, Steven Schroeder, Sherry Flint-Garcia

  • 1Division of Plant Sciences, University of Missouri, Columbia, MO 65211, USA. sanchezvilledah@missouri.edu

BMC Bioinformatics
|March 28, 2008
PubMed
Summary
This summary is machine-generated.

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A new DNA alignment editor (DNAAlignEditor) simplifies tracking, editing, and exporting DNA sequence alignments. This user-friendly software aids biologists in analyzing sequence variation, especially in highly polymorphic species.

Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Advances in DNA re-sequencing and Next-Generation sequencing have increased genomic data.
  • Analyzing sequence variability within species requires user-friendly tools for biologists.
  • Highly polymorphic species like maize present unique challenges for sequence alignment analysis.

Purpose of the Study:

  • To develop an intuitive, user-friendly DNA alignment editor.
  • To provide software aiding biologists in managing multiple sequence alignments.
  • To address the need for efficient tools in analyzing sequence variation.

Main Methods:

  • Developed a novel DNA alignment editor (DNAAlignEditor).
  • Implemented a client/server architecture with a relational database and user interface.

Related Experiment Videos

  • Utilized universal data access connectivity drivers for database connection.
  • Main Results:

    • DNAAlignEditor offers an intuitive interface for manual alignment editing.
    • Features include input, editing, and output of sequence alignments.
    • Color-coding of nucleotide identity and quality scores enhance manual editing.
    • The software functions as a stand-alone or network application.

    Conclusions:

    • DNAAlignEditor is valuable for biologists and population geneticists.
    • Facilitates editing DNA sequence alignments and analyzing natural sequence variation.
    • Particularly useful for manual alignment editing in species with high polymorphism.