How data analysis affects power, reproducibility and biological insight of RNA-seq studies in complex datasets

L Peixoto, D Risso, SG Poplawski… - Nucleic acids …, 2015 - academic.oup.com
The sequencing of the full transcriptome (RNA-seq) has become the preferred choice for the
measurement of genome-wide gene expression. Despite its widespread use, challenges …

[HTML][HTML] Trimming of sequence reads alters RNA-Seq gene expression estimates

CR Williams, A Baccarella, JZ Parrish, CC Kim - BMC bioinformatics, 2016 - Springer
Abstract Background High-throughput RNA-Sequencing (RNA-Seq) has become the
preferred technique for studying gene expression differences between biological samples …

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

MD Robinson, A Oshlack - Genome biology, 2010 - Springer
The fine detail provided by sequencing-based transcriptome surveys suggests that RNA-seq
is likely to become the platform of choice for interrogating steady state RNA. In order to …

End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data

A Derr, C Yang, R Zilionis, A Sergushichev… - Genome …, 2016 - genome.cshlp.org
RNA-seq protocols that focus on transcript termini are well suited for applications in which
template quantity is limiting. Here we show that, when applied to end-sequencing data …

RNA‐seq data: challenges in and recommendations for experimental design and analysis

AG Williams, S Thomas, SK Wyman… - Current protocols in …, 2014 - Wiley Online Library
RNA‐seq is widely used to determine differential expression of genes or transcripts as well
as identify novel transcripts, identify allele‐specific expression, and precisely measure …

[HTML][HTML] Technical variations in low-input RNA-seq methodologies

V Bhargava, SR Head, P Ordoukhanian, M Mercola… - Scientific reports, 2014 - nature.com
Recent advances in RNA-seq methodologies from limiting amounts of mRNA have
facilitated the characterization of rare cell-types in various biological systems. So far …

RNA sequencing: the teenage years

R Stark, M Grzelak, J Hadfield - Nature Reviews Genetics, 2019 - nature.com
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for
transcriptome-wide analysis of differential gene expression and differential splicing of …

[HTML][HTML] The impact of amplification on differential expression analyses by RNA-seq

S Parekh, C Ziegenhain, B Vieth, W Enard… - Scientific reports, 2016 - nature.com
Currently, quantitative RNA-seq methods are pushed to work with increasingly small starting
amounts of RNA that require amplification. However, it is unclear how much noise or bias …

Design and validation issues in RNA-seq experiments

Z Fang, X Cui - Briefings in bioinformatics, 2011 - academic.oup.com
The next-generation sequencing technologies are being rapidly applied in biological
research. Tens of millions of short sequences generated in a single experiment provide us …

De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis

BJ Haas, A Papanicolaou, M Yassour, M Grabherr… - Nature protocols, 2013 - nature.com
De novo assembly of RNA-seq data enables researchers to study transcriptomes without the
need for a genome sequence; this approach can be usefully applied, for instance, in …