Union Exon Based Approach for RNA-Seq Gene Quantification: To Be or Not to Be?
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Title
Union Exon Based Approach for RNA-Seq Gene Quantification: To Be or Not to Be?
Authors
Keywords
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Journal
PLoS One
Volume 10, Issue 11, Pages e0141910
Publisher
Public Library of Science (PLoS)
Online
2015-11-12
DOI
10.1371/journal.pone.0141910
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- (2015) Alexander Kanitz et al. GENOME BIOLOGY
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- Computational approaches for isoform detection and estimation: good and bad news
- (2014) Claudia Angelini et al. BMC BIOINFORMATICS
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- voom: precision weights unlock linear model analysis tools for RNA-seq read counts
- (2014) Charity W Law et al. GENOME BIOLOGY
- featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
- (2013) Y. Liao et al. BIOINFORMATICS
- Assessing the impact of human genome annotation choice on RNA-seq expression estimates
- (2013) Po-Yen Wu et al. BMC BIOINFORMATICS
- A comparison of methods for differential expression analysis of RNA-seq data
- (2013) Charlotte Soneson et al. BMC BIOINFORMATICS
- Strand-Specific RNA-Seq Provides Greater Resolution of Transcriptome Profiling
- (2013) James Dominic Mills et al. CURRENT GENOMICS
- Systematic evaluation of spliced alignment programs for RNA-seq data
- (2013) Pär G Engström et al. NATURE METHODS
- Ensembl 2014
- (2013) Paul Flicek et al. NUCLEIC ACIDS RESEARCH
- Evaluation of Alignment Algorithms for Discovery and Identification of Pathogens Using RNA-Seq
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- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions
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- GENCODE: The reference human genome annotation for The ENCODE Project
- (2012) J. Harrow et al. GENOME RESEARCH
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- (2012) Günter P. Wagner et al. THEORY IN BIOSCIENCES
- Estimation of alternative splicing isoform frequencies from RNA-Seq data
- (2011) Marius Nicolae et al. Algorithms for Molecular Biology
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
- (2011) Bo Li et al. BMC BIOINFORMATICS
- Computational methods for transcriptome annotation and quantification using RNA-seq
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- RNA-Seq: a revolutionary tool for transcriptomics
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