Introduction

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.

Publications

  1. TileQC: a system for tile-based quality control of Solexa data.
    Cite this
    Dolan PC, Denver DR, 2008-01-01 - BMC bioinformatics

Credits

  1. Peter C Dolan
    Developer

  2. Dee R Denver
    Investigator

Community Ratings

UsabilityEfficiencyReliabilityRated By
0 user
Sign in to rate
Summary
AccessionBT000129
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByDee R Denver