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Bioinformatics jounal club for the -omics

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Monthly journal club with a focus on statistical methods in data processing used by the omics. The aim of this club is to provide a forum for people involved in analysing multivariate data from approaches such as transcriptomics, proteomics and metabolomics and to allow the cross-fertilisation of ideas between different omic approaches. This club is open to all, just come along.

Venue: Meeting room 1 of Cambridge Systems Biology Centre

Date: Last Friday of every month at 2pm

Organiser: Denis Rubtsov (dvr22’at’cam.ac.uk)

If you have a question about this list, please contact: Dr N Karp; Dr Denis Rubtsov. If you have a question about a specific talk, click on that talk to find its organiser.

0 upcoming talks and 9 talks in the archive.

FlyMine, InterMine and databases for biology.

UserRichard Smith, Flymine, Dept of Genetics.

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 25 April 2008, 14:00-15:00

Wolfgang Huber from the EBI will be talking on the vsn method.

UserWolfgang Huber, European Bioinformatics Institute, Wellcome Trust Genome Campus.

HouseLecture Room, Sanger Building, Biochemistry Department.

ClockMonday 07 April 2008, 14:15-13:15

Using biological ontologies in databases: where do GO terms come from?

UserSusan Tweedie, Department of Genetics.

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 29 February 2008, 14:00-15:00

Harnessing naturally randomized transcription to infer regulatory relationships among genes

UserPhil Charles, Cambridge Centre for Proteomics.

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 25 January 2008, 14:00-15:00

The use of a power law global error model for the identification of differentially expressed genes in microarray data

UserMatthew Russell, Biochemistry Department.

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 30 November 2007, 14:00-15:00

A new type of stochastic dependence revealed in gene expression data.

UserMarcelo Segura, Biochemistry Department.

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 26 October 2007, 14:00-15:00

Assessing the probability that a positive report is false: an approach for molecular epidemiology studies.

UserGregor McCombie (Biochemistry Department, Cambridge University).

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 28 September 2007, 14:00-15:00

Centering, scaling, and transformations: improving the biological information content of metabolomics data

UserKian Kai Cheng (Biochemsitry Department, Uni of Cambridge).

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 31 August 2007, 14:00-15:00

Bootstrapping cluster analysis: assessing the reliability of conclusions

UserJules Griffin ( Department of Biochemistry, University of Cambridge).

HouseMeeting room 1 cambridge system biology centre.

ClockFriday 27 July 2007, 14:00-15:00

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