M5CPred-SVM: a novel method for predicting m5C sites of RNA.

ABSTRACT:

Background

As one of the most common post-transcriptional modifications (PTCM) in RNA, 5-cytosine-methylation plays important roles in many biological functions such as RNA metabolism and cell fate decision. Through accurate identification of 5-methylcytosine (m5C) sites on RNA, researchers can better understand the exact role of 5-cytosine-methylation in these biological functions. In recent years, computational methods of predicting m5C sites have attracted lots of interests because of its efficiency and low-cost. However, both the accuracy and efficiency of these methods are not satisfactory yet and need further improvement.

Results

In this work, we have developed a new computational method, m5CPred-SVM, to identify m5C sites in three species, H. sapiens, M. musculus and

SUBMITTER: Chen X 

PROVIDER: S-EPMC7602301 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature