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Generally, describe how the sequencing data was analyzed for differential gene expression. How was it determined that genes w
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Hi,

The answers for your questions are as follows.

2. DESeq is an R package to analyse count data from high-throughput sequencing assays such as RNA-Seq and test for differential expression analysis based on negative binomial distribution..

DESeq2 performs an internal normalization where geometric mean is calculated for each gene across all samples. The counts for a gene in each sample is then divided by this mean. DESeq2 detects automatically count outliers using Cooks's distance and removes these genes from analysis. This is how DESeq2 determines the differentially expressed genes.

3. COLLAPSE REPLICATES is the command that will change the number of differentially expressed genes. It works by Collapsing technical replicates in a Ranged Summarized Experiment or DESeqDataSet and thus reduces the numbers of differentially expressed genes.

Will be happy to receive a feedback.

All the best.

Regards,

Dr.VMK.

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