TileQC: a system for tile-based quality control of Solexa data.
BACKGROUND
Next-generation DNA sequencing technologies such as Illumina's Solexa platform and Roche's 454 approach provide new avenues for investigating genome-scale questions. However, they also present novel analytical challenges that must be met for their effective application to biological questions.


RESULTS
Here we report the availability of tileQC, a tile-based quality control system for Solexa data written in the R language. TileQC provides a means of recognizing bias and error in Solexa output by graphically representing data generated by flow cell tiles. The data represented in the images is then made available in the R environment for further analysis and automation of error detection.


CONCLUSIONS
TileQC offers a highly adaptable and powerful tool for the quality control of Solexa-based DNA sequence data.
Dolan
Peter C
PC
Department of Zoology and Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon 97331, USA. dolanp@science.oregonstate.edu
Denver
Dee R
DR
D000818:Animals; D001483:Base Sequence; D017173:Caenorhabditis elegans / Q000235:genetics; D011786:Quality Control; D017422:Sequence Analysis, DNA / Q000379:methods* / Q000592:standards; D012984:Software