Measure transcript integrity using RNA-seq data

The use of exome capture RNA-seq for highly degraded RNA with application to clinical cancer sequencing

(2015) Marcin Cieslik et al.   GENOME RESEARCH

mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing data

(2015) Huijuan Feng et al.   Nature Communications

RNA-seq: impact of RNA degradation on transcript quantification

(2014) Irene Gallego Romero et al.   BMC BIOLOGY

Guanine nucleotide-binding protein 1 is one of the key molecules contributing to cancer cell radioresistance

(2014) Motoi Fukumoto et al.   CANCER SCIENCE

A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

(2014)   NATURE BIOTECHNOLOGY

Sequencing Degraded RNA Addressed by 3' Tag Counting

(2014) Benjamín Sigurgeirsson et al.   PLoS One

Comparative analysis of RNA sequencing methods for degraded or low-input samples

(2013) Xian Adiconis et al.   NATURE METHODS

Genome-wide survey of interindividual differences of RNA stability in human lymphoblastoid cell lines

(2013) Jubao Duan et al.   Scientific Reports

RSeQC: quality control of RNA-seq experiments

(2012) Liguo Wang et al.   BIOINFORMATICS

Quantification of RNA integrity and its use for measurement of transcript number

(2012) Michael J. Brisco et al.   NUCLEIC ACIDS RESEARCH

Impact of RNA degradation on gene expression profiling

(2010) Lennart Opitz et al.   BMC Medical Genomics

A scaling normalization method for differential expression analysis of RNA-seq data

(2010) Mark D Robinson et al.   GENOME BIOLOGY

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS

The Many Pathways of RNA Degradation

(2009) Jonathan Houseley et al.   CELL

Impact of Thawing on RNA Integrity and Gene Expression Analysis in Fresh Frozen Tissue

(2009) Johan Botling et al.   DIAGNOSTIC MOLECULAR PATHOLOGY

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

(2009) Da Wei Huang et al.   Nature Protocols