Analysis of intronic and exonic reads in RNA-seq data characterizes transcriptional and post-transcriptional regulation

D Gaidatzis, L Burger, M Florescu, MB Stadler - Nature biotechnology, 2015 - nature.com
RNA-seq experiments generate reads derived not only from mature RNA transcripts but also
from pre-mRNA. Here we present a computational approach called exon-intron split analysis …

Advancing RNA-seq analysis

BJ Haas, MC Zody - Nature biotechnology, 2010 - nature.com
Advancing RNA-Seq analysis | Nature Biotechnology Skip to main content Thank you for
visiting nature.com. You are using a browser version with limited support for CSS. To obtain the …

Finding the active genes in deep RNA-seq gene expression studies

T Hart, HK Komori, S LaMere, K Podshivalova… - BMC genomics, 2013 - Springer
Background Early application of second-generation sequencing technologies to transcript
quantitation (RNA-seq) has hinted at a vast mammalian transcriptome, including transcripts …

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 …

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 …

RNA‐seq: Basic bioinformatics analysis

F Ji, RI Sadreyev - Current protocols in molecular biology, 2018 - Wiley Online Library
Quantitative analysis of gene expression is crucial for understanding the molecular
mechanisms underlying genome regulation. RNA‐seq is a powerful platform for …

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 …

IVT-seq reveals extreme bias in RNA sequencing

NF Lahens, IH Kavakli, R Zhang, K Hayer, MB Black… - Genome biology, 2014 - Springer
Background RNA-seq is a powerful technique for identifying and quantifying transcription
and splicing events, both known and novel. However, given its recent development and the …

From RNA-seq reads to differential expression results

A Oshlack, MD Robinson, MD Young - Genome biology, 2010 - Springer
From RNA-seq reads to differential expression results | Genome Biology Skip to main content
SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart …

RNA-seq: technical variability and sampling

LM McIntyre, KK Lopiano, AM Morse, V Amin, AL Oberg… - BMC genomics, 2011 - Springer
Background RNA-seq is revolutionizing the way we study transcriptomes. mRNA can be
surveyed without prior knowledge of gene transcripts. Alternative splicing of transcript …