id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jr7irs7m6vg3lk2k6coje4kbgu	Buwani Manuweera	Computational methods for the ab initio identification of novel microRNA in plants: a systematic review	2019	25	.pdf	application/pdf	10477	1416	67	ab initio plant miRNA identification methods over the last decade. only included studies on novel plant miRNA identification using machine learning. stringent plant-focused miRNA identification studies. Computational methods for the ab initio identification of novel microRNA in plants: a systematic review. full advantage of the available information in the sequencing data, such as novel miRNA The search strategy was used to identify plant miRNA prediction methods developed (novel miRNA identification in plants) AND (computational method) (QA6) Is the study focused only on plant miRNA identification? plant miRNA sequences for developing the prediction model or have they considered a considered all the plant datasets available in miRBase (a miRNA database) by (Kozomara & feature types for plant miRNA prediction. Whilst most studies utilized features extracted from data generated from various plant for identification of plant miRNA from RNA sequencing data. novel miRNA identification in plants using small RNA sequencing data.	./cache/work_jr7irs7m6vg3lk2k6coje4kbgu.pdf	./txt/work_jr7irs7m6vg3lk2k6coje4kbgu.txt