RNA-seq is widely used for transcriptomic profiling, but the bioinformatics analysis of resultant data can be time-consuming and challenging, especially for biologists. Researchers at South Dakota State University...
Read More »A mew machine learning-based framework for mapping uncertainty analysis in RNA-Seq read alignment and gene expression estimation
One of the main benefits of using modern RNA-Sequencing (RNA-Seq) technology is the more accurate gene expression estimations compared with previous generations of expression data, such as the microarray. However, numerous issues can result...
Read More »Interpretation of differential gene expression results of RNA-seq data
Differential gene expression (DGE) analysis is one of the most common applications of RNA-sequencing (RNA-seq) data. This process allows for the elucidation of differentially expressed genes across two or more conditions and is widely used in many...
Read More »