WEHI Postgraduate Seminar Series hosted by the Education Committee

Professor Gordon Smyth
Division Head, Bioinformatics and Computational Biology division, WEHI

How to borrow information in gene, transcript and protein expression analyses
 

Davis Auditorium

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Including Q&A session

Modern omics technologies such as RNA-seq and mass spectrometry allow high-resolution profiling of gene expression changes while technologies such as ATAC-seq, CUT&Tag and Hi-C allow detailed exploration of regulatory mechanisms. The WEHI Bioinformatics Division has developed some of most widely used statistical tools for differential analyses of omics data. The limma and edgeR software packages are each downloaded about a million times a year and have each been cited or mentioned in over 70,000 published papers.

In this talk, I will reveal some of the statistical principles that make the limma and edgeR tools work. I will particularly focus on gene expression analyses using RNA-seq, isoform-specific analyses using RNA-seq, and protein expression analyses using mass spectrometry.

Professor Smyth is a statistical bioinformatician who develops statistical methods andcomputational algorithms for analysing omics data. His lab has developed software toolsthat have become international standards for the statistical analysis of omics data. He collaborates widely with biomedical scientists at the Institute and elsewhere tounderstand cancer and immunological diseases. Professor Smyth joined the WEHI in 2001, the same year that the human genome was published, and so his time as a WEHI bioinformatician has coincided with the genomic era. He has been Head of WEHI’s Bioinformatics & Computational Biology Division since 2014.

All welcome!