Year: 2008
Type: article
Abstract: 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. CONCLUSION: TileQC offers a highly adaptable and powerful tool for the quality control of Solexa-based DNA sequence data.
Source: BMC Bioinformatics
Authors: Peter C Dolan, Dee R Denver
Institution: Oregon State University
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,990
Funder: National Institutes of Health
OpenAlex ID: W2068306453