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- Title
Statistical modeling of sequencing errors in SAGE libraries.
- Authors
Beissbarth, Tim; Hyde, Lavinia; Smyth, Gordon K; Job, Chris; Boon, Wee-Ming; Tan, Seong-Seng; Scott, Hamish S; Speed, Terence P
- Abstract
Sequencing errors may bias the gene expression measurements made by Serial Analysis of Gene Expression (SAGE). They may introduce non-existent tags at low abundance and decrease the real abundance of other tags. These effects are increased in the longer tags generated in LongSAGE libraries. Current sequencing technology generates quite accurate estimates of sequencing error rates. Here we make use of the sequence neighborhood of SAGE tags and error estimates from the base-calling software to correct for such errors.
- Publication
Bioinformatics (Oxford, England), 2004, Vol 20 Suppl 1, pi31
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bth924