Name
Title | ||
|---|---|---|
miR-PREFeR: an accurate, fast and easy-to-use plant miRNA prediction tool using small RNA-Seq data. |
Abstract | ||
|---|---|---|
A Summary: Plant microRNA prediction tools that use small RNA-sequencing data are emerging quickly. These existing tools have at least one of the following problems: (i) high false-positive rate; (ii) long running time; (iii) work only for genomes in their databases; (iv) hard to install or use. We developed miR-PREFeR (miRNA PREdiction From small RNA-Seq data), which uses expression patterns of miRNA and follows the criteria for plant microRNA annotation to accurately predict plant miRNAs from one or more small RNA-Seq data samples of the same species. We tested miR-PREFeR on several plant species. The results show that miR-PREFeR is sensitive, accurate, fast and has low-memory footprint. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu380 | BIOINFORMATICS |
Field | DocType | Volume |
Small RNA,Computer science,microRNA,Bioinformatics | Journal | 30 |
Issue | ISSN | Citations |
19 | 1367-4803 | 7 |
PageRank | References | Authors |
0.60 | 6 | 2 |