Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

Single‐cell RNA‐seq has enabled gene expression to be studied at an unprecedented
resolution. The promise of this technology is attracting a growing user base for single‐cell …

Background In order to correctly decode phenotypic information from RNA-sequencing
(RNA-seq) data, careful selection of the RNA-seq quantification measure is critical for inter …

MicrobiomeAnalyst is an easy-to-use, web-based platform for comprehensive analysis of
common data outputs generated from current microbiome studies. It enables researchers …

Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

MicroRNAs (miRNAs) are a class of small noncoding RNAs, which function in
posttranscriptional regulation of gene expression. They are powerful regulators of various …

Increasingly, researchers are discovering associations between microbiome and a wide
range of human diseases such as obesity, inflammatory bowel diseases, HIV, and so on …

In recent years, RNA-sequencing (RNA-seq) has emerged as a powerful technology for
transcriptome profiling. For a given gene, the number of mapped reads is not only …

RNA-seq is currently considered the most powerful, robust and adaptable technique for
measuring gene expression and transcription activation at genome-wide level. As the …

With advances in sequencing and instrument technology, bioinformatics analysis is being
applied to batches of massive cells at single-cell resolution. High-throughput single-cell …