Modeling RNA degradation for RNA-Seq with applications

Modeling RNA degradation for RNA-Seq with applications.

RNA-Seq is widely used in biological and biomedical studies. Methods for the estimation of the transcript's abundance using RNA-Seq data have been intensively studied, many of which are based on the assumption that the short-reads of RNA-Seq are uniformly distributed along the transcripts. However, the short-reads are found to be nonuniformly distributed along the transcripts, which can greatly...

RNA-Seq Bayesian Network Exploration of Immune System in Bovine

Background: The stress is one of main factors effects on production system. Several factors (both genetic and environmental elements) regulate immune response to stress. Objectives: In order to determine the major immune system regulatory genes underlying stress responses, a learning Bayesian network approach for those regulatory genes was applied to RNA-...

Statistical Modeling of RNA-Seq Data.

Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer a comprehensive survey of the population of genes (transcripts) in any sample of interest. This paper introduces a statistical model for estimating isoform ...

Emerging Rna - Seq Applications in Food Science

Groundbreaking research in food science is shifting from classical methods to novel analytical approaches in which high-throughput techniques have a key role. Among these techniques, RNA-Seq in combination with bioinformatics is applied to investigate topics in food science that were not approachable few years ago. Relevant applications of transcriptomics in modern food science include transcri...

STATISTICAL MODELING OF RNA-SEQ DATA By