Analysis of RNA-Seq data
Bioinformatics for RNA‐Seq Data Analysis
... DE analysis, particularly if sequencing depth is ...in RNA‐seq differential analysis to guide the selection of a suitable ...the data analysis tool utilized can markedly affect ...
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A comparison of methods for differential expression analysis of RNA-seq data.
... expression analysis of RNA-seq ...for data sets with large sample sizes, required at least 4-5 samples per condition to have sufficient power to find DE ...
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LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data
... real data On MAQC dataset, the curves of precision, sensitivity and F-scores obtained with varying number of replicates, as well as the precision-sensitivity curves obtained with 7 replicates per condition, are ...
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Novel Methods for the Computational Analysis of RNA-Seq Data with Applications to Alternative Splicing
... of RNA-Seq reads to a given reference genome, is one of the first and also most important steps in RNA-Seq based transcriptome analysis ...and data lost during this step will be ...
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Statistical analysis of RNA-seq data from next-generation sequencing technology
... messenger RNA (mRNA) levels for all genes in a ...called RNA-seq, and several recent reviews have described this nascent technology (Metzker, 2010; Wang, Li and Brutnell, 2010; Wang, Gerstein and ...
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RNA-seq data analysis pipeline
... typical RNA-seq data analyis ...general RNA-seq data analysis pipeline using specific tools; completed an example pipeline by using data from a public database and ...
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A survey of best practices for RNA-seq data analysis
... the data to be previously normalized to remove all possible ...include data transformation methods that take into account the sampling variance of small read counts and create discrete gene expression ...
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Statistical methods for the analysis and interpretation of RNA-Seq data
... Bottomly data (Bottomly et al., 2011) was used as the main analysis dataset for eval- uation and was chosen because of its relatively large number of biological ...pre-processed RNA-Seq ...
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Compositional Data Analysis is necessary for simulating and analyzing RNA-Seq data
... simulate RNA-Seq data using concepts from compositional data 114 ...in RNA content while still maintaining 115 equivalent sequencing depths per ...differential analysis tools in ...
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Compositional Data Analysis is necessary for simulating and analyzing RNA-Seq data
... simulate RNA-Seq data using concepts from compositional data 114 ...in RNA content while still maintaining 115 equivalent sequencing depths per ...differential analysis tools in ...
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Computational Methods for the Analysis of Single-Cell RNA-Seq Data
... cell RNA sequencing (scRNA-Seq) technologies promise to unveil novel cell types and uncover subtle regulatory processes that are undetectable by analyzing bulk ...scRNA- Seq expression profiles for ...
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Comprehensive evaluation of differential gene expression analysis methods for RNA seq data
... in RNA-seq ...expression analysis when one condition has no detectable ...to RNA-seq data perform comparably to methods designed for ...
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The bench scientist's guide to statistical analysis of RNA Seq data
... in RNA-Seq analysis that could alter interpretation of global changes in gene ...an RNA-seq dataset generated from soybean leaf tissue grown in elevated O 3 ...Upon analysis of ...
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A scaling normalization method for differential expression analysis of RNA seq data
... the RNA popu- lation that is being ...DE analysis to be skewed towards one experimental condi- ...Current analysis methods [6,11] have not accounted for this proportionality property of the ...
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The bench scientist\u27s guide to statistical analysis of RNA-Seq data
... statistical analysis that preferentially impacted the high abundance ...this analysis, despite RPKM values with obvious differences and analysis of variance (ANOVA) results that indicated ...
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Empirical Bayes Analysis of RNA-seq Data for Detection of Gene Expression Heterosis
... on RNA-seq data are not directly applicable for detecting EH ...microarray data. We followed their approach, modified to allow for RNA-seq read counts as measures of transcript ...
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An iteration normalization and test method for differential expression analysis of RNA-seq data
... by RNA-Seq are first mapped to the reference genome using computer ...of RNA-Seq can be summarized by a sequence of ...the data, and ensure that technical bias has minimal impact on the ...
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Statistical challenges in RNA-Seq data analysis
... Sensitive to the presence of majority genes Less effective stabilization of distributions Ineffective (similar to RawCount). FQ[r] ...
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Computational analysis of bacterial RNA-Seq data
... gonorrhoeae RNA-seq experiments. The N. gonorrhoeae RNA-seq experiments, in contrast to our RNA-seq experiments in other bacteria, generated a shorter read length (36 nt as ...
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A survey of best practices for RNA seq data analysis
... and analysis scenarios in which RNA-seq can be ...ferent analysis strategies depending on the organism be- ing studied and their research ...mapping RNA-seq reads onto the ...
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