Davis Nicole, Biddlecom Natasha, Hecht David, Fogel Gary B
Southwestern College, 900 Otay Lakes Road, Chula Vista, CA 91910, USA.
Comput Biol Chem. 2008 Jun;32(3):222-6. doi: 10.1016/j.compbiolchem.2008.02.004. Epub 2008 Mar 10.
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.
微小RNA的GC含量和长度被认为在预测假定的微小RNA靶标中发挥作用。对MicroInspector进行了评估，以确定微小RNA的这些特征在结合位点预测准确性中所起作用的程度。观察到对于低GC含量序列，存在强烈偏向于低估预期结合位点数量的情况，尤其是对于GC含量小于50%的微小RNA。研究GC含量异常低的生物体的研究人员应注意这种偏差。
