EpiNano: Detection of m6A RNA Modifications Using Oxford Nanopore Direct RNA Sequencing

RNA modifications play pivotal roles in the life cycle and fate, are now appreciated as a major posttranscriptional regulatory layer cell. In last few years, direct nanopore sequencing (dRNA-seq) has emerged promising technology that can provide single-molecule resolution maps of their native context. While be successfully sequenced using this technology, detection is still challenging. Here, we an upgraded version EpiNano (version 1.2), algorithm to predict m6A from dRNA-seq datasets. The latest contains models for predicting data been base-called with Guppy. Moreover, it train features extracted both FASTQ raw FAST5 outputs. Finally, describe how used stand-alone mode extract base-calling “error” current intensity information chapter, step-by-step instructions on produce vitro transcribed constructs EpiNano, well detailed use train, test, data.