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Next meeting: Glasgow, 16th August 2016


16th August 2016


Lecture Theatre 916 and Room 915, Adam Smith Building, 28 Bute Gardens, Glasgow G12 8RS, United Kingdom

Directions to the University of Glasgow can be found here.



Register to attend this meeting here.


Speaker Talk title Time More information
LUNCH LUNCH 12:30 - 13:30 LUNCH
Christopher Yau (Group leader in Applied Statistical Genomics, University of Oxford) Single cell genomic data modelling: novelty, challenges and limitations 13:30 - 14:30 High-throughput single cell genomic analysis has enabled precise insights into single cell functionality and behaviour at the molecular level. The development of computational methods to aid in the interpretation of single cell data has been vital in order to comprehend the complex myriad of biological signals embedded within the technical noise and confounding artefacts. I will talk about my group's work to develop formal statistical models of single cell data with particular attention paid to understanding tumour evolution from whole genome scDNAseq and pseudotime estimation from scRNAseq.
Sophie Shaw (University of Aberdeen - Centre for Genome Enabled Biology and Medicine) Are ERCC spike in controls useful? - Looking for a friend 14:30 - 14:50
Lorna Jackson (University of Glasgow - Institute of Cancer Sciences) Bringing high throughput data to the leukaemia research community 15:10 - 15:30 In recent years many high quality, high-throughput datasets have been generated by leukaemia research groups around the world. A huge amount of useful information resides within these data, but many researchers lack the necessary expertise to make full use of them. In collaboration with we are developing an online visualisation and analysis tool for omics-scale data from chronic myeloid leukaemia samples.
David Jacob Meltzer (University of Glasgow - Glasgow Polyomics) Galaxy in Glasgow 15:30 - 15:50
Derek Wright (University of Glasgow - Wolfson Wohl Cancer Research Centre) Web-based tools for integrative analysis of pancreatic cancer data 15:50 - 16:10 Personalised medicine is of increasing importance in cancer treatment. We present a suite of web applications, developed for the PRECISION-Panc initiative, providing integrative analyses of genomic and transcriptomic data from patient primary samples, cell lines and xenografts, as well as clinical data on patient survival. We have developed three web applications so far. Gene Variants enables browsing and Circos visualisation of genomic sequence data for Single Nucleotide Variations, Structural Variations and Copy Number Variations, with a focus on key mutations. Pathway Analysis provides visualisation of pathway activity variation in gene expression data. Survival generates gene-centric Kaplan-Meier survival curves and boxplots of gene expression, stratified by pancreatic carcinoma subtype.

Afterwards we will go to The Belle, 617 Great Western Rd, Glasgow G12 8HX.


Russell Hyde, Lisa Hopcroft, Christopher Yau, Sophie Shaw, Derek Wright, Guillaume Devailly, Yifei Yang, Bert Overduin, Lorna Jackson, Kashyap Chhatbar, Eduardo Gómez Castaneda, Peter Cock, Deepali Vasoya, Kathryn Crouch, Jamie Smith, Dan Robertson, Daniel Seaton, Pau Erola, Shiau Haln Chen, Julie Rodor, Yoann Gloaguen, Cosmika Goswami, Jenny Lee, David McGuinness, Szymon Calus, Christian Wozny, Shaun Webb, Neil Robertson, Mark Blaxter, Urmi Trivedi, Mani Mudaliar, David Jacob Meltzer, Rosie Upstill-Goddard, Jing Wang, Ramon Fallon, Timothy Booth, Pawel Herzyk, Andrey Yurchenko, Samantha Campbell, Siddharth Jayaraman, Chinmay Munje, Narendra Kumar, Kimon Froussios, Kira Mourao, Nick Schurch, Stephen Fox, Jingli Yang, Nick Tucker, Judith Risse