Comparing RNA-seq and proteomic results
From RNA seq reads to differential expression results
... using RNA-seq for the detection of alter na- tive splicing, there is scope to extend current methods to detect differences in gene isoform preference ...
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CRAC: An integrated approach to analyse RNA-seq reads Additional File 3 Results on simulated RNA-seq data.
... 1 Results on Drosophila simulated RNA-seq data All analyses were performed on sets of Human and Drosophila simulated RNA-seq data to assess the impact of the reference ...genome. ...
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SCRABBLE: single cell RNA seq imputation constrained by bulk RNA seq data
... S26-S32). This result further demonstrates that SCRABBLE can capture cell heterogeneity in complex tissues although it uses average gene expression values of the bulk data. To evaluate the clustering quality using either ...
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RNA-seq analysis in R
... Compare results obtained for d11 and d33, with genes ranked by significance and fold change direction: First get run analysis for d11 with genes ranked by significance and logFC sign: # run analysis for d11 with ...
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VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis
... Discussion VIPER was designed around a few core concepts that permeate throughout the design of the pipeline. First, VIPER was designed with visualization of results as a key principle with the output ...
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Bioinformatics for RNA‐Seq Data Analysis
... in RNA‐seq differential analysis to guide the selection of a suitable ...of RNA‐seq data and concluded that very small sample size, which is still common in RNA‐seq experiments, ...
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A benchmark for RNA-seq quantification pipelines
... A key aspect of our proposed assessment is the availabil- ity of two datasets that permit the computation of the metrics. They are characterized by including two popula- tions, at least two replicates for each ...
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RNA-seq assembly - are we there yet?
... Mapping reads to a reference results in estimated read numbers per locus. With these read numbers one can check how many reads are actually needed to produce a contig or a full length contig based on different ...
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A benchmark for RNA seq quantification pipelines
... A key aspect of our proposed assessment is the availabil- ity of two datasets that permit the computation of the metrics. They are characterized by including two popula- tions, at least two replicates for each ...
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RNA-seq data analysis pipeline
... typical RNA-seq data analyis pipeline. The author described 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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CEL-Seq: Single-Cell RNA-Seq by Multiplexed Linear Amplification
... of RNA. We have devel- oped CEL-Seq, a method for overcoming this limita- tion by barcoding and pooling samples before linearly amplifying mRNA with the use of one round of in vitro ...sensitive ...
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Comparing biomarkers and proteomic fingerprints for classification studies
... An exhaustive search for symmetric 3-node decision trees was conducted with the requirement that the train- ing set had a sensitivity and specificity of 94% or more. This search identified a total of 12,344 unique ...
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Exon-intron chain reconstruction of circular RNA using RNA-Seq
... using RNA-Seq comparing three circRNA detection programs, including DCC which was developed in the Dieterich lab by Jun Cheng [31] and which is maintained by ...
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SeqOthello: querying RNA seq experiments at scale
... Figure 5 depicts the 10 novel, recurring fusions with greatest number of occurrences suggested by SeqOthello. Several have doubled or even tripled the original recurring rates. Interestingly, all novel oc- currences ...
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Synthetic spike-in standards for RNA-seq experiments
... external RNA standards are a pow- erful tool for routine assessment of RNA-seq experiments and during experimental and computational protocol ...of RNA-seq quantification, tested the ...
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Assessment of transcript reconstruction methods for RNA-seq
... spliced alignment, STAR was provided with exon junction coordi- nates from the reference annotations. Default alignment param- eters were used for the human data. For D. melanogaster and C. elegans, the intron size limit ...
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Re-using public RNA-Seq data
... and monetary effort needed to put into developing a scalable and generalizable automatic pipeline is probably difficult to economically justify. Problem based approaches into building pipelines on local systems are ...
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GC-Content Normalization for RNA-Seq Data
... There are two different types of GC-content effects. The first effect is to act as a proxy for sample size, in a similar manner as length, and relates to power: as GC-content increases, read counts first increase then ...
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Studying bacterial transcriptomes using RNA-seq
... reads results in a relatively small increase in the amount of the genome that can be studied, hence read depth will be the more important consideration in almost all ...The results of mapping analyses have ...
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SeqOthello: Querying RNA-Seq Experiments at Scale
... query RNA-seq ex- periments for expressed transcripts, pioneering the field of large-scale sequence search in ...inconsistent results for a single query, thereby hampering ...traditional ...
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