rMATS-turbo – an efficient and flexible computational tool for alternative splicing analysis of large-scale RNA-seq data
The process of alternative splicing adds a layer of complexity to the way genetic information…
The process of alternative splicing adds a layer of complexity to the way genetic information…
Annotating cell types within single-cell RNA sequencing (scRNA-seq) datasets has posed a significant challenge, especially…
In recent years, single-cell RNA sequencing (scRNA-seq) technology has revolutionized our understanding of cellular composition…
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular diversity and function. However, the…
Understanding the dynamics of gene expression within single cells is crucial for deciphering cell fate…
In the intricate landscape of genomics, uncovering structural variations (SVs) within the genome is akin…
Advances in affordable transcriptome sequencing combined with better exon and gene prediction has motivated many…
Up to 75% of the human genome encodes RNAs. The function of many non-coding RNAs…
Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected…
Next generation RNA sequencing allows alternative splicing (AS) quantification with unprecedented resolution, with the relative…