about
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in RRNA-seq mixology: designing realistic control experiments to compare protocols and analysis methodsDifferential expression analysis for RNAseq using Poisson mixed models.DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics.RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methodsEmpirical assessment of analysis workflows for differential expression analysis of human samples using RNA-SeqQuantifying circular RNA expression from RNA-seq data using model-based framework.Comprehensive evaluation of RNA-seq quantification methods for linearityBenchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data.Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates.Evaluation and comparison of computational tools for RNA-seq isoform quantification.Using omics approaches to understand pulmonary diseases.Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis.Evaluation of two public genome references for chinese hamster ovary cells in the context of rna-seq based gene expression analysis.Differential analysis of RNA-seq incorporating quantification uncertainty.Gene co-expression analysis for functional classification and gene-disease predictions.Salmon provides fast and bias-aware quantification of transcript expressionSimBA: A methodology and tools for evaluating the performance of RNA-Seq bioinformatic pipelinesErratum to: A benchmark for RNA-seq quantification pipelines.Erratum to: A benchmark for RNA-seq quantification pipelines.RNA sequencing identifies novel non-coding RNA and exon-specific effects associated with cigarette smoking.mixOmics: An R package for 'omics feature selection and multiple data integration.DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition.Fenofibrate prevents skeletal muscle loss in mice with lung cancer.A benchmarking of workflows for detecting differential splicing and differential expression at isoform level in human RNA-seq studies.Understanding sequencing data as compositions: an outlook and review.Shifts in the Gut Metabolome and Clostridium difficile Transcriptome throughout Colonization and Infection in a Mouse Model.The fractured landscape of RNA-seq alignment: the default in our STARs.Limitations of alignment-free tools in total RNA-seq quantificationImpact of miRNA-mRNA Profiling and Their Correlation on Medulloblastoma Tumorigenesis
P2860
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P2860
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
A benchmark for RNA-seq quantification pipelines.
@en
A benchmark for RNA-seq quantification pipelines.
@nl
type
label
A benchmark for RNA-seq quantification pipelines.
@en
A benchmark for RNA-seq quantification pipelines.
@nl
prefLabel
A benchmark for RNA-seq quantification pipelines.
@en
A benchmark for RNA-seq quantification pipelines.
@nl
P2093
P2860
P1433
P1476
A benchmark for RNA-seq quantification pipelines.
@en
P2093
Alexander Dobin
Brenton R Graveley
Carrie A Davis
Christopher E Mason
Cricket A Sloan
Dmitri Pervouchine
Lijun Zhan
Rafael A Irizarry
Sara Olson
Sarah Djebali
P2507
P2860
P2888
P356
10.1186/S13059-016-0940-1
P577
2016-04-23T00:00:00Z