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- Title
Classification of ncRNAs using position and size information in deep sequencing data.
- Authors
Erhard, Florian; Zimmer, Ralf
- Abstract
Small non-coding RNAs (ncRNAs) play important roles in various cellular functions in all clades of life. With next-generation sequencing techniques, it has become possible to study ncRNAs in a high-throughput manner and by using specialized algorithms ncRNA classes such as miRNAs can be detected in deep sequencing data. Typically, such methods are targeted to a certain class of ncRNA. Many methods rely on RNA secondary structure prediction, which is not always accurate and not all ncRNA classes are characterized by a common secondary structure. Unbiased classification methods for ncRNAs could be important to improve accuracy and to detect new ncRNA classes in sequencing data.
- Publication
Bioinformatics (Oxford, England), 2010, Vol 26, Issue 18, pi426
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btq363