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# ProcessDE | ||
### Processing RNAseq data for gene expression analysis | ||
### Processing RNA-seq data for gene expression analysis | ||
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Starting from either isoform-level counts quantified with [_Salmon_](https://combine-lab.github.io/salmon/) (recommended), BAM files quantified with [_samtools_](http://www.htslib.org/doc/samtools-idxstats.html), or [_vast-tools_](https://github.com/vastgroup/vast-tools) expression counts, use the _exactTest_ functionality in the R package _edgeR_ to quantify each desired contrast. Replicates belonging to each sample type and contrasts are specified in CSV tables. | ||
Genes are considered differentially expressed if (1) their expression, measured in counts per million (CPM), is at least a given threshold in at least one sample type of a contrast; (2) their log2-fold change is at least a given threshold, and (3) their FDR is lower than a given threshold. Defaults for thresholds can be changed optionally. | ||
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Ulrich Braunschweig, University of Toronto | ||
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[email](mailto:[email protected]) | ||
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## Reference | ||
If using in published work, please cite the DOI of the release. |