RNA sequencing (RNA-seq) has become a routine method for transcriptomic profiling. We
developed a user-friendly web app called iDEP (integrated differential expression and …

Quantitative genetics provides the tools for linking polymorphic loci to trait variation. Linkage
analysis of gene expression is an established and widely applied method, leading to the …

High-density genetic maps are essential for high resolution mapping of quantitative traits.
Here, we present a new genetic map for an Arabidopsis Bayreuth× Shahdara recombinant …

Studying genetic variation of gene expression provides a powerful way to unravel the
molecular components underlying complex traits. Expression quantitative trait locus (eQTL) …

Gliomas are currently classified through integration of histology and mutation information,
with new developments in DNA methylation classification. However, discrepancies exist …

To address a critical roadblock that can occur in translational and clinical research, the
National Cancer Institute and the Food and Drug Administration, in coordination with the …

The study of expression quantitative trait loci (eQTL) using natural variation in inbred
populations has yielded detailed information about the transcriptional regulation of complex …

With advanced imaging, sequencing, and profiling technologies, multiple omics data
become increasingly available and hold promises for many healthcare applications such as …

Discrepancies in mitochondrial and nuclear genetic data are often interpreted as evidence
of hybridisation. We re-examined reports of hybridisation in three cryptic stingless bee …

Abstract Analysis of RNA sequencing (RNA-seq) data from related individuals is widely used
in clinical and molecular genetics studies. Prediction of kinship from RNA-seq data would be …