Tag Archives: statistical modeling

Description Our lab is interested in transcriptome and epigenetic changes that occur in a time-dependent manner during pregnancy and how those can influence autoimmune disease. We are seeking a highly motivated and creative postdoctoral fellow to examine changes in coding ...

Differential expression analysis on the basis of RNA-Seq count data has become a standard tool in transcriptomics. Several studies have shown that prior normalization of the data is crucial for a reliable detection of transcriptional differences. Until now it has ...

RNA sequencing (RNA-seq) is a powerful approach for measuring gene expression levels in cells and tissues, but it relies on high-quality RNA. Researchers at the  Johns Hopkins School of Medicine demonstrate here that statistical adjustment using existing quality measures largely fails to ...

Isoform quantification is an important goal of RNA-seq experiments, yet it remains problematic for genes with low expression or several isoforms. These difficulties may in principle be ameliorated by exploiting correlated experimental designs, such as time series or dosage response ...

University of Notre Dame – College of Science Time: Mon May 4, 2015, 4:15PM – 5:15PM Location: 127 Hayes-Healy Center Hui Jiang Department of Biostatistics University of Michigan Statistical modeling of RNA sequencing data Ultra high-throughput sequencing of transcriptomes (RNA-Seq) ...