Adenosine-to-Inosine (A-to-I) RNA editing is the most prevalent post-transcriptional modification of RNA molecules. Researchers have attempted to find reliable RNA editing using next generation sequencing (NGS) data. However, most of these attempts suffered from a high rate of false positives, ...
Read More »RNA-Seq reveals the molecular basis for the single-nucleotide precision of primary microRNA processing
Microprocessor, composed of DROSHA and its cofactor DGCR8, initiates microRNA (miRNA) biogenesis by processing the primary transcripts of miRNA (pri-miRNAs). Researchers at the Seoul...
Read More »LPEseq – accurately test differential expression with a limited number of replicates
RNA-Sequencing (RNA-Seq) provides valuable information for characterizing the molecular nature of the cells, in particular, identification of differentially expressed transcripts on a genome-wide scale. Unfortunately, cost and limited specimen availability often lead to studies with small sample sizes, and hypothesis ...
Read More »RNA-seq analysis for detecting quantitative trait-associated genes
Many recent RNA-seq studies were focused mainly on detecting the differentially expressed genes (DEGs) between two or more conditions. In contrast, only a few attempts have been made to detect genes associated with quantitative traits, such as obesity index and ...
Read More »RDDpred – a condition-specific RNA-editing prediction model from RNA-seq data
RNA-editing is an important post-transcriptional RNA sequence modification performed by two catalytic enzymes, “ADAR”(A-to-I) and “APOBEC”(C-to-U). By utilizing high-throughput sequencing technologies, the biological function of RNA-editing has been actively investigated. Currently, RNA-editing is considered to be a key regulator that ...
Read More »PlantMirnaT – miRNA and mRNA integrated analysis fully utilizing characteristics of plant sequencing data
miRNA is known to regulate up to several hundreds coding genes, thus the integrated analysis of miRNA and mRNA expression data is an important problem. Unfortunately, the integrated analysis is challenging since it needs to consider expression data of two ...
Read More »TRAP – Time-series RNA-seq Analysis Package
Measuring expression levels of genes at the whole genome level can be useful for many purposes, especially for revealing biological pathways underlying specific phenotype conditions. When gene expression is measured over a time period, we have opportunities to understand how ...
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