“…FEELnc, an alignment-free program that accurately annotates lncRNAs based on a random forest model trained with general features, and BLASTX (McGinnis and Madden, 2004) were used to identify and classify lncRNAs in this study. FEELnc (Wucher et al, 2017) has been shown to achieve similar or better classification performance on GENCODE (Harrow et al, 2012) and NONCODE (Bu et al, 2011) data sets when compared with five programs [PhyloCSF (Lin et al, 2011), CPC (Kong et al, 2007), CPAT (Wang et al, 2013), PLEK (Li et al, 2014), and CNCI (Sun et al, 2013)], and has previously been used to identify lncRNAs (Che et al, 2018; Donato et al, 2018; Wang et al, 2018). In this study, 2,623 novel lncRNAs were identified, of which 1,484 were classified.…”