Related references
Note: Only part of the references are listed.Salmon provides fast and bias-aware quantification of transcript expression
Rob Patro et al.
NATURE METHODS (2017)
Near-optimal probabilistic RNA-seq quantification
Nicolas L. Bray et al.
NATURE BIOTECHNOLOGY (2016)
QoRTs: a comprehensive toolset for quality control and data processing of RNA-Seq experiments
Stephen W. Hartley et al.
BMC BIOINFORMATICS (2015)
HTSeq-a Python framework to work with high-throughput sequencing data
Simon Anders et al.
BIOINFORMATICS (2015)
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Yang Liao et al.
BIOINFORMATICS (2014)
Multi-perspective quality control of Illumina exome sequencing data using QC3
Yan Guo et al.
GENOMICS (2014)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Michael I. Love et al.
GENOME BIOLOGY (2014)
STAR: ultrafast universal RNA-seq aligner
Alexander Dobin et al.
BIOINFORMATICS (2013)
RSeQC: quality control of RNA-seq experiments
Liguo Wang et al.
BIOINFORMATICS (2012)
RNA-SeQC: RNA-seq metrics for quality control and process optimization
David S. DeLuca et al.
BIOINFORMATICS (2012)
Qualimap: evaluating next-generation sequencing alignment data
Fernando Garcia-Alcalde et al.
BIOINFORMATICS (2012)
An integrated encyclopedia of DNA elements in the human genome
Ian Dunham et al.
NATURE (2012)
NGS QC Toolkit: A Toolkit for Quality Control of Next Generation Sequencing Data
Ravi K. Patel et al.
PLOS ONE (2012)
Quality control and preprocessing of metagenomic datasets
Robert Schmieder et al.
BIOINFORMATICS (2011)
GC-Content Normalization for RNA-Seq Data
Davide Risso et al.
BMC BIOINFORMATICS (2011)
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Bo Li et al.
BMC BIOINFORMATICS (2011)
Evaluating Gene Expression in C57BL/6J and DBA/2J Mouse Striatum Using RNA-Seq and Microarrays
Daniel Bottomly et al.
PLOS ONE (2011)