相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。A comprehensive assessment of RNA-seq protocols for degraded and low-quantity samples
Sven Schuierer et al.
BMC GENOMICS (2017)
Translating RNA sequencing into clinical diagnostics: opportunities and challenges
Sara A. Byron et al.
NATURE REVIEWS GENETICS (2016)
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Maxim V. Kuleshov et al.
NUCLEIC ACIDS RESEARCH (2016)
Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-upaEuro
E. Senkus et al.
ANNALS OF ONCOLOGY (2015)
Evaluating whole transcriptome amplification for gene profiling experiments using RNA-Seq
Sheena L. Faherty et al.
BMC BIOTECHNOLOGY (2015)
The use of exome capture RNA-seq for highly degraded RNA with application to clinical cancer sequencing
Marcin Cieslik et al.
GENOME RESEARCH (2015)
HTSeq-a Python framework to work with high-throughput sequencing data
Simon Anders et al.
BIOINFORMATICS (2015)
Alternative splicing in cancer: implications for biology and therapy
J. Chen et al.
ONCOGENE (2015)
Trimmomatic: a flexible trimmer for Illumina sequence data
Anthony M. Bolger et al.
BIOINFORMATICS (2014)
Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling
Wei Zhao et al.
BMC GENOMICS (2014)
Whole-Transcriptome profiling of formalin-fixed, paraffin-embedded renal cell carcinoma by RNA-seq
Ping Li et al.
BMC GENOMICS (2014)
Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study
Sheng Li et al.
NATURE BIOTECHNOLOGY (2014)
Detecting and correcting systematic variation in large-scale RNA sequencing data
Sheng Li et al.
NATURE BIOTECHNOLOGY (2014)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su et al.
NATURE BIOTECHNOLOGY (2014)
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Charity W. Law et al.
GENOME BIOLOGY (2014)
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Michael I. Love et al.
GENOME BIOLOGY (2014)
Comparative analysis of RNA sequencing methods for degraded or low-input samples
Xian Adiconis et al.
NATURE METHODS (2013)
TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
Daehwan Kim et al.
GENOME BIOLOGY (2013)
Clinical and molecular characterization of a cohort of patients with novel nucleotide alterations of the Dystrophin gene detected by direct sequencing
Francesca Magri et al.
BMC MEDICAL GENETICS (2011)
Whole-transcriptome RNAseq analysis from minute amount of total RNA
Muhammad A. Tariq et al.
NUCLEIC ACIDS RESEARCH (2011)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
Aaron McKenna et al.
GENOME RESEARCH (2010)
Comprehensive comparative analysis of strand-specific RNA sequencing methods
Joshua Z. Levin et al.
NATURE METHODS (2010)
RNA-Seq: a revolutionary tool for transcriptomics
Zhong Wang et al.
NATURE REVIEWS GENETICS (2009)
RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
John C. Marioni et al.
GENOME RESEARCH (2008)
Tau exon 10 alternative splicing and tauopathies
Fei Liu et al.
MOLECULAR NEURODEGENERATION (2008)
A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome
Marc Sultan et al.
SCIENCE (2008)
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Leming Shi et al.
NATURE BIOTECHNOLOGY (2006)
分享论文
