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Searching the coding region for microRNA targets.


ABSTRACT: Finding microRNA targets in the coding region is difficult due to the overwhelming signal encoding the amino acid sequence. Here, we introduce an algorithm (called PACCMIT-CDS) that finds potential microRNA targets within coding sequences by searching for conserved motifs that are complementary to the microRNA seed region and also overrepresented in comparison with a background model preserving both codon usage and amino acid sequence. Precision and sensitivity of PACCMIT-CDS are evaluated using PAR-CLIP and proteomics data sets. Thanks to the properly constructed background, the new algorithm achieves a lower rate of false positives and better ranking of predictions than do currently available algorithms, which were designed to find microRNA targets within 3' UTRs.

SUBMITTER: Marin RM 

PROVIDER: S-EPMC3677256 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Searching the coding region for microRNA targets.

Marín Ray M RM   Sulc Miroslav M   Vanícek Jirí J  

RNA (New York, N.Y.) 20130212 4


Finding microRNA targets in the coding region is difficult due to the overwhelming signal encoding the amino acid sequence. Here, we introduce an algorithm (called PACCMIT-CDS) that finds potential microRNA targets within coding sequences by searching for conserved motifs that are complementary to the microRNA seed region and also overrepresented in comparison with a background model preserving both codon usage and amino acid sequence. Precision and sensitivity of PACCMIT-CDS are evaluated using  ...[more]

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