Large Scale Comparison of Gene Expression Levels by Microarrays and RNAseq Using TCGA Data
出版年份 2013 全文链接
标题
Large Scale Comparison of Gene Expression Levels by Microarrays and RNAseq Using TCGA Data
作者
关键词
-
出版物
PLoS One
Volume 8, Issue 8, Pages e71462
出版商
Public Library of Science (PLoS)
发表日期
2013-08-21
DOI
10.1371/journal.pone.0071462
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- A comparison of methods for differential expression analysis of RNA-seq data
- (2013) Charlotte Soneson et al. BMC BIOINFORMATICS
- A comparison of statistical methods for detecting differentially expressed genes from RNA-seq data
- (2012) Vanessa M. Kvam et al. AMERICAN JOURNAL OF BOTANY
- Efficient experimental design and analysis strategies for the detection of differential expression using RNA-Sequencing
- (2012) José A Robles et al. BMC GENOMICS
- A comprehensive comparison of RNA-Seq-based transcriptome analysis from reads to differential gene expression and cross-comparison with microarrays: a case study in Saccharomyces cerevisiae
- (2012) Intawat Nookaew et al. NUCLEIC ACIDS RESEARCH
- SeqWare Query Engine: storing and searching sequence data in the cloud
- (2011) Brian D O’Connor et al. BMC BIOINFORMATICS
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Microarrays, deep sequencing and the true measure of the transcriptome
- (2011) John H Malone et al. BMC BIOLOGY
- Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys
- (2011) Zhenqiang Su et al. CHEMICAL RESEARCH IN TOXICOLOGY
- Integrated genomic analyses of ovarian carcinoma
- (2011) D. Bell et al. NATURE
- The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq
- (2011) Yanming Di et al. Statistical Applications in Genetics and Molecular Biology
- baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
- (2010) Thomas J Hardcastle et al. BMC BIOINFORMATICS
- Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
- (2010) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Defining transcribed regions using RNA-seq
- (2010) Brian T Wilhelm et al. Nature Protocols
- MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery
- (2010) Kai Wang et al. NUCLEIC ACIDS RESEARCH
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- RNA-Seq gene expression estimation with read mapping uncertainty
- (2009) Bo Li et al. BIOINFORMATICS
- DEGseq: an R package for identifying differentially expressed genes from RNA-seq data
- (2009) Likun Wang et al. BIOINFORMATICS
- Fast and accurate short read alignment with Burrows-Wheeler transform
- (2009) H. Li et al. BIOINFORMATICS
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
- (2009) M. D. Robinson et al. BIOINFORMATICS
- 3' tag digital gene expression profiling of human brain and universal reference RNA using Illumina Genome Analyzer
- (2009) Yan W Asmann et al. BMC GENOMICS
- Measuring differential gene expression by short read sequencing: quantitative comparison to 2-channel gene expression microarrays
- (2009) Joshua S Bloom et al. BMC GENOMICS
- RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
- (2008) J. C. Marioni et al. GENOME RESEARCH
- Stem cell transcriptome profiling via massive-scale mRNA sequencing
- (2008) Nicole Cloonan et al. NATURE METHODS
- The beginning of the end for microarrays?
- (2008) Jay Shendure NATURE METHODS
- Mapping and quantifying mammalian transcriptomes by RNA-Seq
- (2008) Ali Mortazavi et al. NATURE METHODS
- RNA-Seq: a revolutionary tool for transcriptomics
- (2008) Zhong Wang et al. NATURE REVIEWS GENETICS
- Deep sequencing-based expression analysis shows major advances in robustness, resolution and inter-lab portability over five microarray platforms
- (2008) Peter A. C. 't Hoen et al. NUCLEIC ACIDS RESEARCH
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