Gopal Krishna Ramadas Dhondalay PhD
Data Scientist / Bioinformatician / Computational Biologist / Human Geneticist
Project | 14
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Transcriptomic and methylomic features in asthmatic and non-asthmatic twins
Summary
Asthma is the most prevalent chronic lung inflammatory disorder, characterised by reversible airflow obstruction, affecting 358 million people worldwide. However, this multifaceted asthma phenotype, together with genetic heterogeneity and environmental influences, makes it challenging to fully understand the features that trigger and influence asthma development and progression. Towards addressing these challenges, we investigated transcriptomic (bulk RNA-seq) and methylomic (whole-genome bisulfite sequencing) data in a twin cohort of asthmatic and non-asthmatic individuals. I incorporated a standard pipeline for bulk RNA-seq and WGBS data with FastQC, trimgalore, STAR, DESeq2, volcano plots, Manhattan plots, regularised canonical correlation analysis, and mixOmics for integration of data.
A publication in the journal of Allergy was published based on this project.