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The severe acute respiratory coronavirus 2 (SARS-CoV-2), which emerged in December 2019 in Wuhan, China, has spread rapidly to over a dozen countries. Especially, the spike of case numbers in South Korea sparks pandemic worries. This virus is reported to spread mainly through person-to-person contact via respiratory droplets generated by coughing and sneezing, or possibly through surface contaminated by people coughing or sneezing on them. More critically, there have been reports about the possi

Eukaryotic mRNAs are subject to multiple types of tailing that critically influence mRNA stability and translatability. To investigate RNA tails at the genomic scale, we previously developed TAIL-seq, but its low sensitivity precluded its application to biological materials of minute quantity. In this study, we report a new version of TAIL-seq (mRNA TAIL-seq [mTAIL-seq]) with enhanced sequencing depth for mRNAs (by ∼1000-fold compared with the previous version). The improved method allows us to

Summary SARS-CoV-2 is a betacoronavirus that is responsible for the COVID-19 pandemic. The genome of SARS-CoV-2 was reported recently, but its transcriptomic architecture is unknown. Utilizing two complementary sequencing techniques, we here present a high-resolution map of the SARS-CoV-2 transcriptome and epitranscriptome. DNA nanoball sequencing shows that the transcriptome is highly complex owing to numerous recombination events, both canonical and noncanonical. In addition to the genomic RNA

Please visit the GitHub page to see more updated information. Changes in tailseeker 3.1.7 Fix the docker wrapper script to take up the environment variable TAILSEEKER_REFDBDIR correctly. Remove U3 and 7SL RNAs from contaminant database pipeline. Fix the compatibility issue with recent versions of snakemake. Add support for MiSeq v3 chemistry. Fix a crash issue in tailseq-dedup-perfect when it fails if more than 1024 alignments with less optimal TAIL-seq signals are followed after an alignment wi

Tailseeker 3.1 is a software suite for profiling RNA poly(A) tails with a high-throughput DNA sequencer. This pre-built resource package contains the genome indices, gene annotations, and gene association databases processed to be used with Tailseeker. The data were built with ENSEMBL GRCh38 <em>(H. sapiens)</em> as of Dec 15, 2016. The whole reference database for human was uploaded as two parts. Please download doi:10.5281/zenodo.203943 too.