Tilescope: A Tool for Analyzing Tiling Microarray Data
Author Information
Author(s): Zhang Zhengdong, Rozowsky Joel, Lam Hugo YK, Du Jiang, Snyder Michael, Gerstein Mark
Primary Institution: Yale University
Hypothesis
Tilescope is developed to provide an automated data processing pipeline for high-density tiling microarray data analysis.
Conclusion
Tilescope is an automated software pipeline that effectively normalizes, combines, scores, and identifies genomic features from high-density tiling microarray data.
Supporting Evidence
- Tilescope normalizes signals between channels and across arrays.
- It combines replicate experiments and scores each array element.
- The results are presented in a clear, organized manner for further analysis.
Takeaway
Tilescope is like a smart helper that makes it easy to analyze lots of genetic data quickly and clearly.
Methodology
Tilescope processes data by normalizing signals, combining replicate experiments, scoring array elements, and identifying genomic features through a user-friendly online interface.
Limitations
Tilescope may have limitations in processing strand-specific data, requiring separate files for plus and minus strands.
Digital Object Identifier (DOI)
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