RNA-Seq raw read counts data summary
Statistical methods for modeling RNA-Seq short-read data
... short-read counts have significant sequence bias, ...larger read counts than AT-rich regions, see Dohm et ...short-read counts are highly desirable to make transcript ...
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voom: precision weights unlock linear model analysis tools for RNA seq read counts
... transcripts data are DE. We replicated the counts for each of the 23 non-DE transcripts three times, so that each non-DE transcript was treated as three different ...used read counts for the ...
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PDEGEM: Modeling non-uniform read distribution in RNA-Seq data
... Despite the improvement in mseq, it is oversimplified to just consider the neighborhood nucleotide sequence infor- mation alone. They also discussed the linear effect of dinu- cleotides in the Supplementary Material, ...
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Bioinformatics for RNA‐Seq Data Analysis
... the read counts, data normalization is one of the most crucial steps of data processing, and this process must be carefully considered, as it is essential to ensure accurate inference of gene ...
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RNA-seq data analysis pipeline
... 3.5 Calculating transcript abundances: raw and normalized read counts In order to calculate transcript abundances, the mapped data needs to be pro- cessed. Cufflinks2 (see Section 4.2.3), ...
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GC-Content Normalization for RNA-Seq Data
... increases, read counts first increase then decrease, and evidence in favor of DE ...assuming counts are roughly proportional to the product of gene length and expression ...
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Gene dispersion is the key determinant of the read count bias in differential expression analysis of RNA-seq data
... of read counts is the critical determinant of the read count bias (and gene length bias) by mathematical inference and tests for a number of simulated and real RNA-seq ...the ...
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Joint estimation of isoform expression and isoform-specific read distribution using multisample RNA-Seq data.
... real data and per- formed as follows: first, the expression value and read distribu- tion for each of the isoforms are estimated from the RNA-Seq data in Mortazavi et ...Then, ...
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Fast and accurate single cell RNA seq analysis by clustering of transcript compatibility counts
... transcript-compatibility read counts rather than on the transcript or gene quantifications used in standard analysis ...single-cell RNA-seq datasets, we show that our method is up to two ...
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Fast and accurate single-cell RNA-seq analysis by clustering of transcript-compatibility counts
... read counts. In re-analysis of two landmark yet disparate single-cell RNA-Seq datasets, we show that our method is up to two orders of magnitude faster than previous approaches, provides ...
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A survey of statistical software for analysing RNA-seq data
... in RNA-seq ...count data irrespective of whether or not they are over-dispersed. If the data are over- dispersed, the NB model is ...the data. edgeR requires the data to be in ...
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EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq
... gene-level counts (log) on GC-content for each lane, color-coded by experimental ...of read counts from two lanes using the biasBoxplot method (Figure ...
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A survey of best practices for RNA-seq data analysis
... of RNA-seq is to esti- mate gene and transcript ...aggregate raw counts of mapped reads using programs such as HTSeq-count [35] or featureCounts ...reads. Raw read counts ...
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Statistical methods for the analysis and interpretation of RNA-Seq data
... reference RNA (Brain) and Stratagene’s human universal reference RNA ...short read archive, submission number ...a read lies within an exon if its left most base pair lies within that ...the ...
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Normalization of RNA-Seq
... The read count for a given gene is defined as the number of reads with 5’-end falling within the corresponding ...gene-level counts for this example are provided in the yeastRNASeqRisso2011 R ...Exploratory ...
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Compositional Data Analysis is necessary for simulating and analyzing RNA-Seq data
... simulating RNA-Seq data 467 See Fig 1 for a summary diagram of our protocol for ...generating RNA-Seq data, the key 468 experimental step which requires a compositional ...
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Compositional Data Analysis is necessary for simulating and analyzing RNA-Seq data
... simulating RNA-Seq data 467 See Fig 1 for a summary diagram of our protocol for ...generating RNA-Seq data, the key 468 experimental step which requires a compositional ...
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dropEst: pipeline for accurate estimation of molecular counts in droplet based single cell RNA seq experiments
... Methods The dropEst pipeline operates in three phases: i) identifier parsing phase; ii) read mapping phase; and iii) filtering and quality control phase. The first phase takes as an input FASTQ files containing ...
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Modeling non uniformity in short read rates in RNA Seq data
... Grimmond data show an average fold change of ...microarray data from mouse embryo samples, which we can use to assess the new estimate and the standard esti- mate for the Grimmond EB ...
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TagDigger: user-friendly extraction of read counts from GBS and RAD-seq data
... of read depth in evaluating genotype quality and performing downstream analysis of GBS data, one would expect read counts to be accurately exported from all SNP calling pipelines in an easily- ...
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