Transcript mapping based on dRNA-seq data

Title : dRNA - seq implicates sulfide

Context-based mapping of RNA-seq data with ContextMap 2.0

Recently, we presented ContextMap (Bonfert et al., 2012), a novel approach to mapping RNA-seq reads based on the concept of a so-called read context. A context is defined as a set of reads all originating from the same stretch of the genome, indicating that they all correspond to transcripts of the same gene. The original implementation we presented was focused on refining initial mappings prov...

A Robust Method for Transcript Quantification with RNA-seq Data

The advent of high throughput RNA-seq technology allows deep sampling of the transcriptome, making it possible to characterize both the diversity and the abundance of transcript isoforms. Accurate abundance estimation or transcript quantification of isoforms is critical for downstream differential analysis (e.g., healthy vs. diseased cells) but remains a challenging problem for several reasons....

Bayesian estimation of differential transcript usage from RNA-seq data.

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 the relative within gene expression of a transcript. The contribution of this paper is to: (a) extend the ...

RNA-eXpress annotates novel transcript features in RNA-seq data

Next-generation sequencing is rapidly becoming the approach of choice for transcriptional analysis experiments. Substantial advances have been achieved in computational approaches to support these technologies. These approaches typically rely on existing transcript annotations, introducing a bias towards known genes, require specific experimental design and computational resources, or focus onl...