EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
Authors
Keywords
-
Journal
BIOINFORMATICS
Volume 29, Issue 8, Pages 1035-1043
Publisher
Oxford University Press (OUP)
Online
2013-02-22
DOI
10.1093/bioinformatics/btt087
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Identifying differentially expressed transcripts from RNA-seq data with biological variation
- (2012) Peter Glaus et al. BIOINFORMATICS
- Detecting differential usage of exons from RNA-seq data
- (2012) S. Anders et al. GENOME RESEARCH
- Differential analysis of gene regulation at transcript resolution with RNA-seq
- (2012) Cole Trapnell et al. NATURE BIOTECHNOLOGY
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks
- (2012) Cole Trapnell et al. Nature Protocols
- IQSeq: Integrated Isoform Quantification Analysis Based on Next-Generation Sequencing
- (2012) Jiang Du et al. PLoS One
- Estimation of alternative splicing isoform frequencies from RNA-Seq data
- (2011) Marius Nicolae et al. Algorithms for Molecular Biology
- FDM: a graph-based statistical method to detect differential transcription using RNA-seq data
- (2011) Darshan Singh et al. BIOINFORMATICS
- A powerful and flexible approach to the analysis of RNA sequence count data
- (2011) Yi-Hui Zhou et al. BIOINFORMATICS
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Reference Maps of Human ES and iPS Cell Variation Enable High-Throughput Characterization of Pluripotent Cell Lines
- (2011) Christoph Bock et al. CELL
- Incomplete DNA methylation underlies a transcriptional memory of somatic cells in human iPS cells
- (2011) Yuki Ohi et al. NATURE CELL BIOLOGY
- Proteomic and phosphoproteomic comparison of human ES and iPS cells
- (2011) Douglas H Phanstiel et al. NATURE METHODS
- The head-regeneration transcriptome of the planarian Schmidtea mediterranea
- (2011) Thomas Sandmann et al. GENOME BIOLOGY
- Towards reliable isoform quantification using RNA-SEQ data
- (2010) Brian E Howard et al. BMC BIOINFORMATICS
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments
- (2010) James H Bullard et al. BMC BIOINFORMATICS
- 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
- Analysis and design of RNA sequencing experiments for identifying isoform regulation
- (2010) Yarden Katz et al. NATURE METHODS
- A scaling normalization method for differential expression analysis of RNA-seq data
- (2010) Mark D Robinson et al. GENOME BIOLOGY
- Differential expression analysis for sequence count data
- (2010) Simon Anders et al. GENOME BIOLOGY
- Statistical inferences for isoform expression in RNA-Seq
- (2009) Hui Jiang et al. BIOINFORMATICS
- RNA-Seq gene expression estimation with read mapping uncertainty
- (2009) Bo Li et al. BIOINFORMATICS
- TopHat: discovering splice junctions with RNA-Seq
- (2009) Cole Trapnell et al. BIOINFORMATICS
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome
- (2009) Ben Langmead et al. GENOME BIOLOGY
- Alternative isoform regulation in human tissue transcriptomes
- (2008) Eric T. Wang et al. NATURE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now