trumpet: transcriptome-guided quality assessment of m6 A-seq data

BMC Bioinformatics
Teng ZhangJia Meng

Abstract

Methylated RNA immunoprecipitation sequencing (MeRIP-seq or m6A-seq) has been extensively used for profiling transcriptome-wide distribution of RNA N6-Methyl-Adnosine methylation. However, due to the intrinsic properties of RNA molecules and the intricate procedures of this technique, m6A-seq data often suffer from various flaws. A convenient and comprehensive tool is needed to assess the quality of m6A-seq data to ensure that they are suitable for subsequent analysis. From a technical perspective, m6A-seq can be considered as a combination of ChIP-seq and RNA-seq; hence, by effectively combing the data quality assessment metrics of the two techniques, we developed the trumpet R package for evaluation of m6A-seq data quality. The trumpet package takes the aligned BAM files from m6A-seq data together with the transcriptome information as the inputs to generate a quality assessment report in the HTML format. The trumpet R package makes a valuable tool for assessing the data quality of m6A-seq, and it is also applicable to other fragmented RNA immunoprecipitation sequencing techniques, including m1A-seq, CeU-Seq, Ψ-seq, etc.

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Datasets Mentioned

BETA
GSM1147022
GSM1147020
GSM1147024

Methods Mentioned

BETA
pulls
immunoprecipitation
PCR
ChIP-seq
MeRIP-seq
PCA
gene

Software Mentioned

metaPlotR R
CHANCE
FastQC
stats R package
trumpet
trumpet R package
TxDb
Bioconductor
trumpet package
SeQC

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