Quan Gu – CVR Bioinformatics

4th Annual Training Course on Viral Bioinformatics and Genomics (20-24th Aug, 2018)

September 12, 2018
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From 20-24th Aug, we have held our 4th Viral Bioinformatics and Genomics training course at the Garscube campus of the University of Glasgow. In this year, our course had 16 participants attending from academic and health institutions from across the UK, Europe, Canada, Australia, Qatar, and South Africa. The MRC-University of Glasgow Centre for Virus […]

February 15, 2016
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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 […]

November 2, 2015
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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 […]

March 23, 2015
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The bioinformatics work includes the gene annotation work. In recent years more and more biological data has become available. Meanwhile, how to get the access these valuable data resources and analyse the data is important for comprehensive bioinformatics data analysis. The biomaRt is a very useful tool to achieve that. Now there are two questions: […]

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4th Annual Training Course on Viral Bioinformatics and Genomics (20-24th Aug, 2018)

featureCounts or htseq-count?

Some key factors for number of significant DE genes

Why and how to use biomaRt?