TileQC: A system for tile-based quality control of Solexa data
2008
TileQC: A Tool for Quality Control of Solexa Data
publication
Evidence: moderate
Author Information
Author(s): Dolan Peter C, Denver Dee R
Primary Institution: Oregon State University
Conclusion
TileQC offers a highly adaptable and powerful tool for the quality control of Solexa-based DNA sequence data.
Supporting Evidence
- TileQC provides a means of recognizing bias and error in Solexa output by graphically representing data generated by flow cell tiles.
- The guiding philosophy behind tileQC's qualitative error assessment features is that the researcher's visual pattern recognition is the best way to detect novel errors.
- TileQC features both qualitative and quantitative error detection.
Takeaway
TileQC helps scientists check the quality of DNA sequencing data by showing where errors happen in a visual way, making it easier to fix problems.
Methodology
TileQC is implemented in R and uses a MySQL database to manage Solexa sequencing data, providing both qualitative and quantitative error detection.
Limitations
The study does not specify limitations but mentions the need for further development of the software's features.
Digital Object Identifier (DOI)
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