4.7 Article

Comparison of software packages for detecting differential expression in RNA-seq studies

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。
Article Biochemical Research Methods

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments

Ning Leng et al.

BIOINFORMATICS (2013)

Article Biochemical Research Methods

Data-based filtering for replicated high-throughput transcriptome sequencing experiments

Andrea Rau et al.

BIOINFORMATICS (2013)

Article Biochemical Research Methods

A comparison of methods for differential expression analysis of RNA-seq data

Charlotte Soneson et al.

BMC BIOINFORMATICS (2013)

Article Biochemical Research Methods

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis

Marie-Agnes Dillies et al.

BRIEFINGS IN BIOINFORMATICS (2013)

Article Health Care Sciences & Services

Finding consistent patterns: A nonparametric approach for identifying differential expression in RNA-Seq data

Jun Li et al.

STATISTICAL METHODS IN MEDICAL RESEARCH (2013)

Article Plant Sciences

A COMPARISON OF STATISTICAL METHODS FOR DETECTING DIFFERENTIALLY EXPRESSED GENES FROM RNA-SEQ DATA

Vanessa M. Kvam et al.

AMERICAN JOURNAL OF BOTANY (2012)

Article Biochemical Research Methods

easyRNASeq: a bioconductor package for processing RNA-Seq data

Nicolas Delhomme et al.

BIOINFORMATICS (2012)

Article Biotechnology & Applied Microbiology

RNA-Seq quantification of the human small airway epithelium transcriptome

Neil R. Hackett et al.

BMC GENOMICS (2012)

Article Biochemical Research Methods

Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks

Cole Trapnell et al.

NATURE PROTOCOLS (2012)

Article Biochemistry & Molecular Biology

Differential expression in RNA-seq: A matter of depth

Sonia Tarazona et al.

GENOME RESEARCH (2011)

Review Biochemical Research Methods

Computational methods for transcriptome annotation and quantification using RNA-seq

Manuel Garber et al.

NATURE METHODS (2011)

Article Biochemical Research Methods

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

Mark D. Robinson et al.

BIOINFORMATICS (2010)

Article Biochemical Research Methods

Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments

James H. Bullard et al.

BMC BIOINFORMATICS (2010)

Article Biochemical Research Methods

baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data

Thomas J. Hardcastle et al.

BMC BIOINFORMATICS (2010)

Article Multidisciplinary Sciences

Understanding mechanisms underlying human gene expression variation with RNA sequencing

Joseph K. Pickrell et al.

NATURE (2010)

Article Multidisciplinary Sciences

Independent filtering increases detection power for high-throughput experiments

Richard Bourgon et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2010)

Review Biotechnology & Applied Microbiology

From RNA-seq reads to differential expression results

Alicia Oshlack et al.

GENOME BIOLOGY (2010)

Article Biotechnology & Applied Microbiology

Differential expression analysis for sequence count data

Simon Anders et al.

GENOME BIOLOGY (2010)

Article Biochemistry & Molecular Biology

RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays

John C. Marioni et al.

GENOME RESEARCH (2008)

Article Biochemical Research Methods

Mapping and quantifying mammalian transcriptomes by RNA-Seq

Ali Mortazavi et al.

NATURE METHODS (2008)