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TileQC | A system for tile-based quality control of Solexa data

Controls the quality of Solexa-based DNA sequence data. TileQC features both qualitative and quantitative error detection. 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. It contains functions that are optimized to create such qualitative displays. The visual representation appears on the left and a relative frequency histogram of the number of reads in each Eland category for that tile appears to the right. The researcher may select which categories of read are to be displayed, and even filter the unique reads based upon whether they match the forward strand, the reverse strand, or either.

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TileQC classification

TileQC specifications

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Command line interface
Biological technology:
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Unix/Linux, Mac OS, Windows
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TileQC distribution


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Department of Zoology and Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA

Funding source(s)

This project was supported by the National Institutes of Health and the OSU Computational and Genome Biology Initiative

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