EST clustering error evaluation and correction

Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and expression patterns. However, EST clustering errors, which often lead to greatly inflated estimates of obtained unique genes, have become a major obstacle in the analyses. The EST clustering error structure, the relationship between clustering error and clustering criteria, and possible error correction methods need to be systematically investigated. Results: We identify and quantify two types of EST clustering error, namely, Type I and II in EST clustering using CAP3 assembling program. A Type I error occurs when ESTs from the same gene do not form a cluster whereas a Type II error occurs when ESTs from distinct genes are falsely clustered

• Type: Journal
• Year: 2004
• Where: BIOINFORMATICS
• Authors: Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leebens-Mack, Liying Cui, P. Kerr Wall, Webb C. Miller, Claude W. dePamphilis
• Keywords: BIOINFORMATICS 2004, Clustering Error Structure, Est Clustering Error, Gene Expression Intensity