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featureCounts or htseq-count?

Count-based differential expression analysis of sequencing data is one of the best known pipeline in bioinformatics analysis. In this pipeline, the vital step is to estimate the reads count of each genomic features. After counting the features, the differential expression(DE) analysis tools are used for getting the differential expression list of genomic features.  It has been […]

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Some key factors for number of significant DE genes

In the different RNA-Seq experiments, we have found that some experiments have more significant DE (differential expression) genes than others. Besides the experiment design which is the most important factor, a number of other factors may influence the number of DE genes. Here, we list the different experiments that we have carried out the investigation […]

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