Last updated: 2019-04-25
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Knit directory: threeprimeseq/analysis/
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Unstaged changes:
Modified: analysis/28ind.peak.explore.Rmd
Modified: analysis/CompareLianoglouData.Rmd
Modified: analysis/ExampleQTLPlot2.Rmd
Modified: analysis/HistoneModandPAS.Rmd
Modified: analysis/IndPeakUsageDiff.Rmd
Modified: analysis/NewPeakPostMP.Rmd
Modified: analysis/NuclearSpecQTL.Rmd
Modified: analysis/PeakToXper.Rmd
Modified: analysis/RNAdecayAndAPA.Rmd
Modified: analysis/apaQTLoverlapGWAS.Rmd
Modified: analysis/characterize_apaQTLs.Rmd
Modified: analysis/cleanupdtseq.internalpriming.Rmd
Modified: analysis/coloc_apaQTLs_protQTLs.Rmd
Modified: analysis/dif.iso.usage.leafcutter.Rmd
Modified: analysis/diffIsoAnalysisNewMapping.Rmd
Modified: analysis/diff_iso_pipeline.Rmd
Modified: analysis/exampleQTLfacetboxplot.Rmd
Modified: analysis/explainpQTLs.Rmd
Modified: analysis/explore.filters.Rmd
Modified: analysis/fixBWChromNames.Rmd
Modified: analysis/flash2mash.Rmd
Modified: analysis/initialPacBioQuant.Rmd
Modified: analysis/mispriming_approach.Rmd
Modified: analysis/overlapMolQTL.Rmd
Modified: analysis/overlapMolQTL.opposite.Rmd
Modified: analysis/overlap_qtls.Rmd
Modified: analysis/peakOverlap_oppstrand.Rmd
Modified: analysis/peakQCPPlots.Rmd
Modified: analysis/peakQCplotsSTARprocessing.Rmd
Modified: analysis/pheno.leaf.comb.Rmd
Modified: analysis/pipeline_55Ind.Rmd
Modified: analysis/swarmPlots_QTLs.Rmd
Modified: analysis/test.max2.Rmd
Modified: analysis/test.smash.Rmd
Modified: analysis/understandPeaks.Rmd
Modified: analysis/unexplainedeQTL_analysis.Rmd
Modified: code/Snakefile
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Rmd | 0e95115 | Briana Mittleman | 2018-05-01 | add home page information |
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Rmd | 539892a | Briana Mittleman | 2018-05-01 | Start workflowr project. |
Briana Mittleman
This is the site I will use for my human 3’ seq project. I will have my workflow and analysis here. The three prime seq protocol I am using is Lexogen, QuantSeq 3’ mRNA-Seq library kit. The first analysis will be on the total and nucleic fractions of the LCL used in the net-seq analysis found at https://brimittleman.github.io/Net-seq/
Until now I have been focusing on way to develop the story for the paper. The next steps will be to systematically understand the data in order to filter to high quality data to use in the final analysis.
In the previous sections (specifically here) I reran some QC and the QTL analysis with the filtered and clean data. Here I want to look at some of the other analysis with the processed data.
I now have 55 individuals. I am going to call peaks and QTLs in this data.
After resequencing I am going to start using a new data folder to differentiate the new processing. This will be data_reseq. I will also create a new snakefile for the new pipeline.