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Automated tools for comparative sequence analysis of genic regions using the GenePalette application
Andrew F Smith1, James W Posakony2, Mark Rebeiz1
1Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Developmental Biology
|July 5, 2017
Summary
GenePalette 2.1 simplifies comparative DNA sequence analysis for gene function and regulation studies. Its OrthologGrabber module automates finding homologous sequences and visualizing conserved regulatory elements, aiding evolutionary studies.
Area of Science:
- Genomics
- Bioinformatics
- Molecular Biology
Background:
- Comparative sequence analysis is crucial for understanding regulatory DNA function.
- Assembling orthologous sequences and visualizing comparisons in large genomic regions are challenging.
- Existing tools lack efficient methods for identifying conserved regulatory elements.
Purpose of the Study:
- To introduce GenePalette 2.1, an improved software for comparative gene studies.
- To present the OrthologGrabber (OG) module for automated retrieval of homologous sequences.
- To enhance the visualization of conserved DNA features and regulatory elements.
Main Methods:
- Developed OrthologGrabber (OG) for automated BLAT searches against the UC Santa Cruz genome database.
- Implemented graphical display of high-confidence anchor-points derived from sequence comparisons.
- Integrated visualization of anchor-points with other DNA features like transcription factor binding sites.
Main Results:
- GenePalette 2.1 facilitates the identification and retrieval of homologous genomic segments.
- The software enables precise examination of binding site conservation, even with low sequence identity in surrounding regions.
- High-confidence anchor-points are graphically displayed for intuitive analysis.
- Orthologous regulatory DNA segments can be identified, supporting evolutionary studies.
Conclusions:
- GenePalette 2.1 offers a user-friendly, platform-independent solution for comparative sequence analysis.
- The software aids in decoding regulatory sequence functions and studying regulatory element evolution.
- Automated ortholog retrieval and enhanced visualization streamline complex genomic comparisons.
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