User: Assa Yeroslaviz

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Assa Yeroslaviz1.4k
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Posts by Assa Yeroslaviz

<prev • 285 results • page 1 of 29 • next >
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Comment: C: shRNA-Seq analysis using edgeR
... Just for the sake of testing I have tried to analyse only the first group of samples from WT (the first 10 samples).  I have created a new DEGList object using only this subset x.WT = new("DGEList") x.WT$counts = as.matrix(WT.table) x.WT$samples$sample <- as.factor(x.WT$samples$sample) x.WT$sa ...
written 15 days ago by Assa Yeroslaviz1.4k
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Comment: C: shRNA-Seq analysis using edgeR
... yes I was thinking the same thing. I have already done the QC plots and they do not look like I have expected it to look like: plotBCV: plotMDS and the Smear plots plotSmear(lrtMUT, de.tags = de.genes, main = "MUT smear plot") plotSmear(lrtWT, de.tags = de.genes, , main="WT Smear plot" ...
written 17 days ago by Assa Yeroslaviz1.4k
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Comment: C: shRNA-Seq analysis using edgeR
... The contrasts matrix I have seen the problem already and changed it beforehand. the QL-function I haven't so thanks for that remark. But i am not really happy with the results of the differential analysis. I don't get really good results neither for the MUT comparison before against after > t ...
written 17 days ago by Assa Yeroslaviz1.4k
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Comment: C: shRNA-Seq analysis using edgeR
... Thanks for the reply and sorry for the late response. when using the makeContrast function for the genotype-specific columns I took contmat = makeContrasts(DiffGentypes = genotypeMut.selectionSelected - genotypeWT.selectionSelected, levels = design) Does this mean that shRNAs with positive value ...
written 18 days ago by Assa Yeroslaviz1.4k
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shRNA-Seq analysis using edgeR
... We are doing a loss-of-function shRNA-Seq experiment with 185 shRNA for 37 different genes. We have two conditions (WT and MUT) with each two groups (before and after selection). For each we have five replicate (one only with four0. we have the following sample data: sample condition group A1 WT ...
edger experimental design model.matrix shrnaseq written 26 days ago by Assa Yeroslaviz1.4k • updated 25 days ago by Aaron Lun21k
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Comment: C: differential expression analysis of cell subtypes mixture
... Thanks Michael for this suggestion. This is one function I haven't seen before. Looking at the `?unmix` information, I was wondering if I understand it correctly.  Using this would mean that in `x` are my samples with the mixed population and `pure` are the samples withe only one subtype. Is this c ...
written 8 months ago by Assa Yeroslaviz1.4k
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Comment: C: differential expression analysis of cell subtypes mixture
... Thanks for the fast response. This is what i also thought. I still doubt though, that this is what they are looking for. Maybe a little more background information would help. The experiment is about dendrites in drosophila's brains. We are interested in a neural population which is responsible for ...
written 8 months ago by Assa Yeroslaviz1.4k
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Comment: C: Unmix() function in DeSeq capabilities
... this is a similar situation to our case with the mixture of samples (from the original post you mentioned). I was wondering if it is possible to artificially add RNA from tissue X to the second batch of samples (tussues A or B) to create a base line for this changes. similar to Spike-Ins used in a ...
written 8 months ago by Assa Yeroslaviz1.4k
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Using edgeR to analyze Cripsr/Cas9 Screening data
... I am having trouble understanding the workflow described in the paper. I have a data set of four fastq files from a crispr/cas9 screening experiment as well as a fasta file of the sgRNA used in the analysis (for an example see below). The experiment uses single-indexing strategy with two control sam ...
edger processamplicons sgrna crispr written 8 months ago by Assa Yeroslaviz1.4k
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using the edgeR for sgRNA workflow with my own data
... I am having trouble understanding the workflow described in the paper. I have a data set of four fastq files from a crispr/cas9 screening experiment as well as a fasta file of the sgRNA used in the analysis (for an example see below). The experiment uses single-indexing strategy with two control sam ...
edger processamplicons sgrna written 8 months ago by Assa Yeroslaviz1.4k

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Popular Question 6 weeks ago, created a question with more than 1,000 views. For discrepance in DESeq2 results with different design structures
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