Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
15334 | Computational Biology and Chemistry | 2008 | 5 Pages |
Abstract
MicroRNA GC content and length is believed to play a role in the prediction of putative microRNA targets. MicroInspector was evaluated to determine the extent to which these characteristics of microRNAs play a role in binding site predictive accuracy. A strong bias towards under predicting the number of expected bindings sites for low GC content sequences was observed, especially for microRNAs with <50% GC content. Researchers working with organisms with unusually low GC content should be aware of this bias.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
Nicole Davis, Natasha Biddlecom, David Hecht, Gary B. Fogel,