We are pleased to announce the 7th Probabilistic Modeling in Genomics Conference (ProbGen22), to be held in Oxford, UK, from 28-30th March 2022. The meeting will be jointly hosted by the Big Data Institute, the Department of Statistics, and Wellcome Centre for Human Genetics.
The conference will cover probabilistic models, algorithms, and statistical methods across a broad range of applications in genetics and genomics. We invite abstract submissions on a range of topics including population genetics, natural selection, Quantitative genetics, Methods for GWAS, Applications to cancer and other diseases, Causal inference in genetic studies, Functional genomics, Assembly and variant identification, Phylogenetics, Single cell -omics, Deep learning in genomics and Pathogen genomics.
Alongside invited speakers, oral presentations will be selected from submitted abstracts. We particularly encourage abstract submissions from junior investigators, including postdoctoral fellows and graduate students.
The meeting will be a hybrid in-person and online event, based at the Blavatnik School of Government. Talk sessions will feature live speakers, both in-person and online, and will take place during the afternoons (making live attendance feasible for US timezones). Talks will be recorded and made available to registrants for a period of one month. Poster sessions will be held online during the evenings. Please see our draft schedule for more details.
Previous meetings were held at CSHL (2021, 2018, 2015), Aussois (2019), Aarhus (2017) and Oxford (2016).
Organising committee (alphabetically ordered): Robert Davies, Jerome Kelleher, Simon Myers and Daniel Wilson.
Jointly hosted by:
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