High dimensional statistics in biology

Workshop theme

The study of biological systems has been revolutionized by the advent of large scale systematic data gathering. Led by the Human Genome project, but extending across many biological disciplines, an increasing number of large and complex datasets has been developed which inform our biological understanding of both the normal workings of organisms in biology and processes which cause disease.

The analysis of these datasets ,which has become an increasingly important part of biology, poses a number of interesting statistical problems, largely driven by the complex inter-relationships between measurements .The size and complexity of these datasets make even adaptation of existing statistical techniques to biological problems novel . In some cases, the development of entirely new statistical methods is necessary. Methods developed and developing for high dimensional (large p) and possibly small sample size (small n) inference seem particularly germane. So do methods such as FDR for simultaneously testing many hypotheses.

In this workshop we aim to provide a collegial, inter disciplinary group of both statisticians and biologists to exchanges ideas and challenges at the Newton Institute in Cambridge UK. Drawing on both nearby expertise at the Hinxton Campus (the EBI and the Sanger Institute) and worldwide expertise in statistics the workshop will involve 45-50 minute overview talks from both biologists and statisticians and less structured, collaboration based time as well as a possible poster session

The application is closed

Timetable

Monday 31st March 2008
08:30 to 09:55	Registration	No Room Required
10:00 to 11:00	Ewan Birney European Bioinformatics Institute, Cambridge The evolution of promoter sequence	Room 1
11:00 to 11:30	Coffee	No Room Required
11:30 to 12:30	Lior Pachter Functional genomics and the forest of life	Room 1
12:30 to 13:30	Lunch at Wolfson Court	No Room Required
14:00 to 15:00	Soren Brunak Technical University of Denmark Understanding interactomes by data integration	Room 1
15:00 to 15:30	Tea	No Room Required
15:30 to 16:30	Geoffrey McLachlan University of Queensland On mixture models in high-dimensional testing for the detection of differential gene expression	Room 1
16:30 to 17:30	Elliott Margulies National Human Genome Research Institute Statistical challenges in using comparative genomics for the identification of functional sequences	Room 1
17:30 to 18:30	Welcome Wine Reception and Poster Session	No Room Required
18:45 to 19:30	Dinner at Wolfson Court (Residents only)	No Room Required

Tuesday 1st April 2008
09:00 to 10:00	Matt Hurles Wellcome Trust Sanger Institute Structural variation in the human genome	Room 1
10:00 to 11:00	Yoav Benjamini Tel Aviv University Selective inference in complex research problems	Room 1
11:00 to 11:30	Coffee	No Room Required
11:30 to 12:30	Efficient use of population genome sequencing data	Room 1
12:30 to 13:30	Lunch at Wolfson Court	No Room Required
14:00 to 15:00	Mike West Duke University Sparsity modelling in gene expression pathway studies	Room 1
15:00 to 15:30	Tea	No Room Required
15:30 to 16:30	Manolis Dermitzakis Wellcome Trust Sanger Institute Population genomics of human gene expression	Room 1
18:45 to 19:30	Dinner at Wolfson Court (Residents only)	No Room Required

Wednesday 2nd April 2008
09:00 to 10:00	Anton Enright Wellcome Trust Sanger Institute Computational analysis and prediction of microRNA binding sites	Room 1
10:00 to 11:00	L1-regularisation, motif regression and ChIP-on-chip data analysis	Room 1
11:00 to 11:30	Coffee	No Room Required
11:30 to 12:30	Wolfgang Huber European Bioinformatics Institute, Cambridge Extraction and classification of cellular and genetic phenotypes from automated microscopy data	Room 1
12:30 to 13:30	Lunch at Wolfson Court	No Room Required
14:00 to 15:00	Niko Beerenwinkel ETH Zürich Ultra-deep sequencing of mixed virus populations	Room 1
15:00 to 15:30	Tea	No Room Required
15:30 to 16:30	Poster Session	Room 1
19:30 to 23:00	Conference Dinner at St Catharine's College (The Main Dining Hall)	No Room Required

Thursday 3rd April 2008
09:00 to 10:00	Eran Segal University of California, Irvine and Weizmann Institute of Science Cracking the regulatory code: predicting expression patterns from DNA sequence	Room 1
10:00 to 11:00	Peter Bickel University of California, Berkeley Refined nonparametric methods for genomic inference	Room 1
11:00 to 11:30	Coffee	No Room Required
11:30 to 12:30	Edward Marcotte Japan Atomic Energy Agency & University of Texas at Austin Steps toward directed identification of disease genes: predicting the consequences of genetic perturbations	Room 1
12:30 to 13:30	Lunch at Wolfson Court	No Room Required
14:00 to 15:00	Greg Crawford Duke University High-resolution identification of active gene regulatory elements	Room 1
15:00 to 15:30	Coffee	No Room Required
15:30 to 16:30	Martha L Bulyk Harvard University High-resolution binding specificity profiles of transcription factors and cis regulatory codes in DNA	Room 1
18:45 to 19:30	Dinner at Wolfson Court (Residents only)	No Room Required

Friday 4th April 2008
09:00 to 10:00	Paul Bertone European Bioinformatics Institute, Cambridge Functional genomic approaches to stem cell biology	Room 1
10:00 to 11:00	Gil McVean University of Oxford Approximate genealogical inference	Room 1
11:00 to 11:30	Coffee	No Room Required
11:30 to 12:30	Nick Luscombe European Bioinformatics Institute, Cambridge Genomic principles for feedback regulation of metabolism	Room 1
12:30 to 13:30	Lunch at Wolfson Court	No Room Required
14:00 to 15:00	Haiyan Huang University of California, Berkeley A bayesian probabilistic approach to transform public microarray repositories into disease diagnosis databases	Room 1
15:00 to 15:30	Tea	No Room Required

Speakers

Niko Beerenwinkel ETH Zürich
Yoav Benjamini Tel Aviv University
Paul Bertone European Bioinformatics Institute, Cambridge
Peter Bickel University of California, Berkeley
Ewan Birney European Bioinformatics Institute, Cambridge
Soren Brunak Technical University of Denmark
Martha L Bulyk Harvard University
Greg Crawford Duke University
Manolis Dermitzakis Wellcome Trust Sanger Institute
Anton Enright Wellcome Trust Sanger Institute
Haiyan Huang University of California, Berkeley
Wolfgang Huber European Bioinformatics Institute, Cambridge
Matt Hurles Wellcome Trust Sanger Institute
Nick Luscombe European Bioinformatics Institute, Cambridge
Edward Marcotte Japan Atomic Energy Agency & University of Texas at Austin
Elliott Margulies National Human Genome Research Institute
Geoffrey McLachlan University of Queensland
Gil McVean University of Oxford
Lior Pachter
Eran Segal University of California, Irvine and Weizmann Institute of Science
Mike West Duke University

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High dimensional statistics in biology

Workshop theme

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Timetable

Speakers

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