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June 25, 2013

Seminar: 25/06/2013 @ 2:00 pm - 3:00 pm
BRC MH Bioinformatics seminar – Dr. Anoop Shah - Extracting information for research from free text in electronic health records
http://iris.ucl.ac.uk/iris/browse/profile?upi=ASHAH69 http://wellcometrust.wordpress.com/2012/11/27/qa-dr-anoop-shah-on-using-data-from-health-records/ https://github.com/anoopshah Extracting information for research from free text in electronic health records Electronic health records are extremely useful for research, but much of the information is entered as unstructured free text rather than in coded form. Free text may contain clinical information which can better characterise participants in [...]


May 28, 2013

Seminar: 28/05/2013 @ 2:00 pm - 3:00 pm
BRC MH Bioinformatics seminar - Robert Eriksson - Undesired drug effect identification in Danish electronic patient records
Undesired drug effect identification in Danish electronic patient records Robert Eriksson (Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark) Drugs have tremendous potential to cure and relieve disease, but the risk of unintended and undesirable effects is always present. Several of these effects are never identified in [...]


April 30, 2013

: 30/04/2013 @ 3:00 pm - 5:00 pm
A guide to plotting in R
  Abstract:   In this short course we will introduce basic plotting methods in the statistical programming language R, and demonstrate some packages that may be useful to researchers wishing to plot biological data. This will be a hands-on workshop, with exercises provided for delegates to practice what they learn. [...]


Seminar: 30/04/2013 @ 2:00 pm - 3:00 pm
BRC MH Bioinformatics seminar - Dr. Michael Barnes - Genome Wide Association Studies as a Tool for Translation
Genome Wide Association Studies as a Tool for Translation Dr. Michael Barnes Director of Bioinformatics, William Harvey Research Institute, Queen Mary University of London. Email : m.r.barnes@qmul.ac.uk The scale of recent investment in genome-wide association studies (GWAS) is exceeded only by the expectation of the medical breakthroughs that these studies [...]


March 26, 2013

Seminar: 26/03/2013 @ 1:00 pm - 2:00 pm
BRC MH Bioinformatics seminar – Dr. Chris Wallace – Integrating genomewide association datasets: local and global approaches
Dr. Chris Wallace from Cambridge University   https://www-gene.cimr.cam.ac.uk/staff/wallace/   Abstract: Integration of data from genomewide single nucleotide polymorphism (SNP) association studies of different traits has the potential to reveal the shared and disparate genetic mechanisms underlying related but distinct traits.  For example, comparing disease and eQTL association scans could reveal [...]


February 26, 2013

: 26/02/2013 @ 3:00 pm - 5:00 pm
A gentle introduction to R
Slides here - R_course_feb26th   - Packages and their installation - Finding help in R - Using the R documentation - Data types/structures - Missing values - Coercion - Apply functions to all rows or columns - Conditioning and subsetting - Applying functions to selected rows and storing output - Select [...]


Seminar: 26/02/2013 @ 2:00 pm - 3:00 pm
BRC MH Bioinformatics seminar - Jennifer Mollon "Searching for Epistasis in Genome-Wide Association Studies: Methods and Applications" and Grace Lu "Is the Interface of 3D Protein Complexes a Determinant in the Pathogenesis of Disease-related Genes?"
Grace Lu - Insights into Structure Properties of Protein Complexes and Gene Variants The project uses Protein-Protein Interaction Networks (PPINs) as a tool to extract complexes of human proteins and study their binding interfaces. Numerous studies have indicated the correlation between protein complex structure and functions. In particular, the three-dimensional (3D) [...]


January 29, 2013

: 29/01/2013 @ 3:30 pm - 5:00 pm
BRC MH Bioinformatics Tutorial - Dr. Richard Dobson: Weka for machine learning (NOW IN ROOM E, 2ND FLOOR SGDP)
Weka is a collection of machine learning algorithms for data mining tasks. For example, in a previous seminar Dr. Matt Davies used it to find metabolites that predict disease in twins. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains [...]


Seminar: 29/01/2013 @ 2:00 pm - 3:00 pm
BRC MH Bioinformatics seminar - Dr. Natasa Przulj - Network Topology Complements Sequence as a Source of Biological Information
Dr. Natasa Przulj Title: Network Topology Complements Sequence as a Source of Biological Information Abstract: Sequence-based computational approaches have revolutionized biological understanding. However, they can fail to explain some biological phenomena. Since proteins aggregate to perform a function, the connectivity of a protein-protein interaction (PPI) network will provide additional insight into [...]


December 13, 2012

Seminar: 13/12/2012 @ 3:00 pm - 4:00 pm
BRC MH Bioinformatics seminar - Dr Gareth Williams, KCL "A searchable cross-platform gene expression database reveals connections between drug treatments and disease"
Dr Gareth Williams, KCL "A searchable cross-platform gene expression database reveals connections between drug treatments and disease" Background Transcriptional data covering multiple platforms and species is collected and processed into a searchable platform independent expression database (SPIED). SPIED consists of over 100,000 expression fold profiles defined independently of control/treatment assignment [...]


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