Small RNA sequencing data analysis
sRNAnalyzer-a flexible and customizable small RNA sequencing data analysis pipeline.
... lyze small RNA sequencing (sRNA-Seq) data, it re- mains challenging to accurately analyze the small RNA population, mainly due to multiple sequence ID assignment caused by short ...
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Statistical methods for the analysis of RNA sequencing data
... and RNA splice events, dense whole-genome tiling microarrays can be used but it is not an attractive method due to the requirement of large amounts of input RNA and other limitations that a ff ect direct ...
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Preprocessing and analysis of single-cell RNA-sequencing data
... of analysis flow, even though the full picture of the quality is obtained only after ...bulk RNA-seq data (Bacher & Kendziorski ...still small, even though some ready- made pipelines ...
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De novo discovery of microRNA from small RNA sequencing data
... of analysis by homology can be related with evolutionary studies, as the phylogeny of miRNA can be used to trace back sequence modifications between different evolution-related ...
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Detection of circulating extracellular mRNAs by modified small-RNA-sequencing analysis
... PNK-treated RNA with size selection from 19 to 45 nt. Tissue and cell RNA-seq for comparison with the exRNA profile was done using the Illumina Stranded mRNA-seq TruSeq protocol following the manufacturer’s ...
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miRA: adaptable novel miRNA identification in plants using small RNA sequencing data
... (small) RNA sequenc- ing data in form of a sequence alignment/map (SAM) file, and a FASTA-formatted reference ...the analysis pre- sented in this ...
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A tail-based test for differential expression analysis and pathway analysis in RNA-sequencing data
... groups is relatively small at the median and becomes larger in the upper quantiles as shown in 2.3. For example, the difference is 0.02 at the median versus 0.89 at the 75th quantile. The ratio of the two groups’ ...
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Computational approaches for whole-transcriptome cancer analysis based on RNA sequencing data
... molecules, RNA-Seq targets RNA by building a cDNA library using reverse ...genome, RNA-Seq targets only the transcriptome present at a given moment (Chu & Corey ...a small portion of the ...
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Statistical analysis of RNA-seq data from next-generation sequencing technology
... Because RNA-seq experiments are still expensive, such experiments typically involve only a few samples from each treatment ...p, small n” problem for detecting DE ...for RNA-seq ...
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Efficient extraction of small and large RNAs in bacteria for excellent total RNA sequencing and comprehensive transcriptome analysis
... with small RNAs (sRNAs), while RNeasy gave moderate yield of good quality RNA with trace amounts of ...quality RNA (RIN value of ...bioinformatic analysis of the sequencing data ...
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Benchmarking of RNA-sequencing analysis workflows using whole-transcriptome RT-qPCR expression data
... 1,2,3 RNA-sequencing has become the gold standard for whole-transcriptome gene expression ...from RNA-sequencing ...using RNA-sequencing data from the well established ...
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Weighted Gene Co-expression Network Analysis for RNA-Sequencing Data of the Varicose Veins Transcriptome
... Our study has some limitations. First, the sample size is relatively small. GSVs from CABG patients are not strictly normal, which may cause a bias. Increased cardiovascular risk in CABG patients might increase ...
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Detection and classification of peaks in 5' cap RNA sequencing data
... external data in their model, which could potentially improve the algorithm ...make small counting windows around annotated TSS [16], before performing an analysis of the amount of ...
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Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.
... growth data as counts Among the most developed tools to examine high- throughput sequencing experiments are those designed to examine RNA-seq experiments [1], and these tools are often advocated for ...
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Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis
... high-throughput sequencing stud- ies is to identify those genes or features that make a significant difference between two or more ...include RNA sequencing (RNA-seq), chromatin ...
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Specific small-RNA signatures in the amygdala at premotor and motor stages of Parkinson's disease revealed by deep sequencing analysis
... 1000 data sets con- structed by randomly reassigning class labels at each individual and further performing PLS-DA on the new randomized data ...randomized data set that each group had a balanced ...
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Diversity, Distribution, and Evolution of Tomato Viruses in China Uncovered by Small RNA Sequencing
... through sequencing small RNAs of 170 field-grown samples collected in ...single-stranded RNA viruses. Evolutionary analysis of one of the most dominant tomato viruses, Tomato yellow leaf curl ...
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Statistical Design and Analysis of RNA Sequencing Data
... and sequencing lanes that allow for designs that block on lane and/or flow cell (see Figure ...unreplicated data cannot be generalized beyond the sample tested (here, differential ...
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RNA Sequencing Data: Hitchhiker's Guide to Expression Analysis
... RNA Sequencing Data: Hitchhiker’s Guide to Expression Analysis Van den Berge, Koen ; Hembach, Katharina M ; Soneson, Charlotte ; Tiberi, Simone ; Clement, Lieven ; Love, Michael I ; Patro, Rob ...
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RNA sequencing data : hitchhiker's guide to expression analysis
... tags) data were already being developed before Illumina-based sequenc- ing (76), but Jiang & Wong (77) were among the first to attempt isoform-level abundance estima- tion using RNA-seq ...observed ...
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