Tag Archives: bayesian

Next generation sequencing allows the identification of genes consisting of differentially expressed transcripts, a term which usually refers to changes in the overall expression level. A specific type of differential expression is differential transcript usage (DTU) and targets changes in ...

Modeling bifurcations in single-cell transcriptomics data has become an increasingly popular field of research. Several methods have been proposed to infer bifurcation structure from such data, but all rely on heuristic non-probabilistic inference. Here University of Oxford researchers propose the ...

RNA-sequencing (RNA-Seq) has become a preferred option to quantify gene expression, because it is more accurate and reliable than microarrays. In RNA-Seq experiments, the expression level of a gene is measured by the count of short reads that are mapped ...

Accurate mapping of next-generation sequencing (NGS) reads to reference genomes is crucial for almost all NGS applications and downstream analyses. Various repetitive elements in human and other higher eukaryotic genomes contribute in large part to ambiguously (non-uniquely) mapped reads. Most ...

Traditional differential expression tools are limited to detecting changes in overall expression, and fail to uncover the rich information provided by single-cell level data sets. Researchers at the Cambridge Institute of Public Health have devloped a Bayesian hierarchical model that ...

D esigning an RNA-seq study depends critically on its specific goals, technology and underlying biology, which renders general guidelines inadequate.  A team led by researchers at IRB Barcelona have developed a Bayesian framework to customize experiments so that goals can ...

RNA-seq allows for simultaneous transcript discovery and quantification, but reconstructing complete transcripts from such data remains difficult. Here, researchers from the University of Copenhagen introduce the Bayesembler, a novel probabilistic method for transcriptome assembly built on a Bayesian model of ...

One or two postdoctoral positions are available immediately in Oncinfo Lab, Department of Computer Science at Texas State University. Position description The successful candidates will contribute to development and application of cutting edge computational methods to analyze RNA-seq and other ...

Recent advances in RNA sequencing (RNA-Seq) technology have offered unprecedented scope and resolution for transcriptome analysis. However, precise quantification of mRNA abundance and identification of differentially expressed genes are complicated due to biological and technical variations in RNA-Seq data. Researchers ...

An overview of the SAMCNet package (available at https://github.com/binarybana/samcnet) that implements optimal Bayesian classification for RNA-Seq data as part of an upcoming publication. (Publication details will follow once reviewed and accepted)