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 new shrinkage estimator for dispersion improves differential expression detection in RNA-seq data
Hao Wu et al.
BIOSTATISTICS (2013)
The transcription factor IRF4 is essential for TCR affinity-mediated metabolic programming and clonal expansion of T cells
Kevin Man et al.
NATURE IMMUNOLOGY (2013)
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
Simon Anders et al.
NATURE PROTOCOLS (2013)
Genome-wide hydroxymethylation tested using the HELP-GT assay shows redistribution in cancer
Sanchari Bhattacharyya et al.
NUCLEIC ACIDS RESEARCH (2013)
The Subread aligner: fast, accurate and scalable read mapping by seed-and-vote
Yang Liao et al.
NUCLEIC ACIDS RESEARCH (2013)
Drift and conservation of differential exon usage across tissues in primate species
Alejandro Reyes et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2013)
Global Changes in the Mammary Epigenome Are Induced by Hormonal Cues and Coordinated by Ezh2
Bhupinder Pal et al.
CELL REPORTS (2013)
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
Franck Rapaport et al.
GENOME BIOLOGY (2013)
Assemblathon 2: evaluating de novo methods of genome assembly in three vertebrate species
Keith R. Bradnam et al.
GIGASCIENCE (2013)
Tools for mapping high-throughput sequencing data
Nuno A. Fonseca et al.
BIOINFORMATICS (2012)
Normalization, testing, and false discovery rate estimation for RNA-sequencing data
Jun Li et al.
BIOSTATISTICS (2012)
Detecting differential usage of exons from RNA-seq data
Simon Anders et al.
GENOME RESEARCH (2012)
The GEM mapper: fast, accurate and versatile alignment by filtration
Santiago Marco-Sola et al.
NATURE METHODS (2012)
NCBI Reference Sequences (RefSeq): current status, new features and genome annotation policy
Kim D. Pruitt et al.
NUCLEIC ACIDS RESEARCH (2012)
Ensembl 2012
Paul Flicek et al.
NUCLEIC ACIDS RESEARCH (2012)
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
Intawat Nookaew et al.
NUCLEIC ACIDS RESEARCH (2012)
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
Davis J. McCarthy et al.
NUCLEIC ACIDS RESEARCH (2012)
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Bo Li et al.
BMC BIOINFORMATICS (2011)
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
Mark D. Robinson et al.
BIOINFORMATICS (2010)
BEDTools: a flexible suite of utilities for comparing genomic features
Aaron R. Quinlan et al.
BIOINFORMATICS (2010)
baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data
Thomas J. Hardcastle et al.
BMC BIOINFORMATICS (2010)
Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications
R. Alan Harris et al.
NATURE BIOTECHNOLOGY (2010)
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
Cole Trapnell et al.
NATURE BIOTECHNOLOGY (2010)
From RNA-seq reads to differential expression results
Alicia Oshlack et al.
GENOME BIOLOGY (2010)
Differential expression analysis for sequence count data
Simon Anders et al.
GENOME BIOLOGY (2010)
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell et al.
BIOINFORMATICS (2009)
The Sequence Alignment/Map format and SAMtools
Heng Li et al.
BIOINFORMATICS (2009)
Fast and accurate short read alignment with Burrows-Wheeler transform
Heng Li et al.
BIOINFORMATICS (2009)
ChIP-seq: advantages and challenges of a maturing technology
Peter J. Park
NATURE REVIEWS GENETICS (2009)
Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data
Anton Valouev et al.
NATURE METHODS (2008)
Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang et al.
GENOME BIOLOGY (2008)
The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements
Leming Shi et al.
NATURE BIOTECHNOLOGY (2006)
Bioconductor: open software development for computational biology and bioinformatics
RC Gentleman et al.
GENOME BIOLOGY (2004)
分享论文
