title: Accurate identification of polyadenylation sites from 3' end deep sequencing using a naive Bayes classifier.
abstract: BACKGROUND
  3' end processing is important for transcription termination, mRNA stability and regulation of gene expression. To identify 3' ends, most techniques use an oligo-dT primer to construct deep sequencing libraries. However, this approach can lead to identification of artifactual polyadenylation sites due to internal priming in homopolymeric stretches of adenines. Although heuristic filters have been applied in these cases, they typically result in a high proportion of both false-positive and -negative classifications. Therefore, there is a need to develop improved algorithms to better identify mis-priming events in oligo-dT primed sequences.
  
  
  RESULTS
  By analyzing sequence features flanking 3' ends derived from oligo-dT-based sequencing, we developed a naïve Bayes classifier to classify them as true or false/internally primed. The resulting algorithm is highly accurate, outperforms previous heuristic filters and facilitates identification of novel polyadenylation sites.
authors: Program in Gene Function and Expression and Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 364 Plantation St, Worcester, MA 01605, USA.
authors: Sarah
authors: S
authors: Sheppard
authors: Nathan D
authors: ND
authors: Lawson
authors: Lihua Julie
authors: LJ
authors: Zhu
mesh_terms: D024509:3' Flanking Region; D000465:Algorithms; D000818:Animals; D001483:Base Sequence; D001499:Bayes Theorem; D004247:DNA / Q000032:analysis* / Q000737:chemistry / Q000378:metabolism; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D026723:Polyadenylation
chemical_list: D004247:DNA
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