Identification of MicroRNAs and Natural Antisense Transcript-Originated Endogenous si RNAs from Small-RNA Deep Sequencing Data
Zhang, W.; Zhou, X.; Zhou, X.; Xia, J.
Methods in Molecular Biology 2170: 125-131
ISSN/ISBN: 1940-6029 PMID: 32797455 Accession: 071915746
Next Generation Sequencing (NGS) is becoming a routine experimental technology. It has been a great success in recent years to profile small-RNA species using NGS. Indeed, a large quantity of small-RNA profiling data has been generated from NGS, and computational methods have been developed to process and analyze NGS data for the purpose of identification of novel and expressed small noncoding RNAs and analysis of their roles in nearly all biological processes and pathways in eukaryotes. We discuss here the computational procedures and major steps for identification of microRNAs and natural antisense transcript-originated small interfering RNAs (nat-siRNAs) from NGS small-RNA profiling data.