Text Mining Electronic Medical Records

Richard Dobson’s Bioinformatics group at KCL are running a week long course on developing applications to mine information from free text using the GATE framework developed at the University of Sheffield. There will be a focus on mining medical records, however the techniques will be applicable to other domains and participants fro other fields are welcome.

More details and registration at
http://core.brc.iop.kcl.ac.uk/events/text-analytics-using-gate/

NHS Hackday

Anyone fancy going to the NHS Hackday this year?  
http://nhshackday.com/

 

Prof Andrey Rzhetksy: “Computational Analysis of Complex Human Disorders”

From Jason Alvey at KCL:

You are invited to a Special Guest Lecture to be held on Thursday, 21st February 2013, at 3:30 – 4:30pm in Small Lecture Theatre, First Floor, Main Building, Institute of Psychiatry, Denmark Hill Campus.

Professor Andrey Rzhetsky, Department of Human Genetics, University of Chicago

Computational analysis of complex human disorders’

Focusing on autism, bipolar disorder and schizophrenia, my talk will touch the following questions. How understanding of genetics and epidemiology of disease can be advanced through modeling and computational analysis of very large and heterogeneous datasets?  What are the bottlenecks in analysis of complex human maladies?  How can we model and compute over multiple data types to narrow hypotheses about genetic causes of disease?  How collaborations across multiple fields of science can bring translational results to initially purely academic studies?

Andrey Rzhetsky is a Professor of Medicine and Human Genetics, at the University of Chicago. He is also a Pritzker Scholar, and a Senior Fellow of both the Computation Institute, and the Institute for Genomics and Systems Biology at the University of Chicago. His research is focused on computational analysis of complex human phenotypes in context of changes and perturbations of underlying molecular networks. The input data for these studies is supplied by large-scale mining of free text, computation over clinical records, and high-throughput systems biology experiments.  Most recently in 2011, Rzhetsky was awarded a $13.7 million grant from the National Institutes of Health titled “Conte Center for Computational Systems Genomics of Neuropsychiatric Phenotypes.” This five-year project involves investigators from seven institutions across the United States and Israel who will study new computational methodology for the analysis of multiple complex mental health disorders, such as autism and schizophrenia.

 

LondonR – March 2013

Talks at next month’s LondonR user group (Tues 19th March):

  • Open Data comes to the NHS – Francine Bennett, Mastodon C
  • High-throughput/flow Cytometry Data and how to Load, Transform and Visualise Data and Gate Populations – Ulrike Naumann, Kings College, London
  • Enterprise grade R on Spotfire – David Rice, Agilexi

And a bonus workshop:

Report Generation in R – Gemma Stephenson, Mango Solutions

More details and registration at
http://www.londonr.org

 

Perl & DBIx::Class course

Dave Cross, of
http://london.pm.org/
 and 
http://perlschool.co.uk/
, is running a day’s course on using DBIx::Class in Perl to talk to your databases this Saturday at Google for only £30. This is a massive bargain – I’ve been to other courses he’s run and they’ve been excellent. If you’re using Perl and DBI to talk to your databases and you haven’t come across DBIx::Class, go along and find out how it can make your life easier.

More details at 
http://perlschool.co.uk/courses/database-programming-with-perl-and-dbixclass/

perl school logo

 

Cancer Bioinformatics Jobs in London

Couple of London-based Bioinformatics positions available:

Senior Bioinformatician in the  Gene Function Team, Inst. of Cancer Research, Chelsea, London led by Professor Alan Ashworth.

The Gene Function Laboratory currently houses over 30 scientists and runs a wide-ranging portfolio of projects including basic cancer biology and drug development programmes. As part of these projects, the laboratory interacts with a diverse range of collaborators, contract research organisations, pharmaceutical companies and funding charities.

We are seeking an experienced and motivated Senior Bioinformatician to support high- throughput cell-based screening and Next Generation Sequencing based projects within the Breakthrough Centre. The successful post holder will perform statistical analyses and quality control reporting on screen data, using publicly available packages and commercial software to facilitate the prompt and efficient transfer of data into scientific publications. The postholder will also perform next generation sequencing data analysis including read alignment and variant calling.

Experience in the analysis of RNA interference or cell-based drug screens is essential, as is the ability to apply existing third-party tools to the analysis of Next Generation Sequencing and microarray data sets.

Applicants should hold a PhD or equivalent qualification in a relevant subject, have scripting experience in R and Perl and will ideally hold a post-graduate qualification in bioinformatics.

The starting salary will be in the range £40,725 – £43,119 p.a. inclusive and the position will be offered initially on a fixed-term contract of one year.

Informal enquiries are welcome and can be made to Dr Chris Lord (chris.lord@icr.ac.uk). Please note – this address is for enquiries only and you should not send your application to this email address; CV, pdf copies of your best 3 publications over the last 5 years and covering letter must be submitted online at
http://www.icr.ac.uk/jobsearch
. Job Ref. No. 1279843

Closing date: 16 October 2012

Postdoctoral Research Fellow Position available in Cancer Bioinformatics at  UCL Cancer Institute and CR-UK London Research Institute

A fellowship position is available in the UCL Cancer Institute and CR-UK London Research Institute in the Swanton laboratory

http://www.london-research-institute.org.uk/research/charles-swanton

To study mechanisms of cancer genome instability, intratumour heterogeneity and drug resistance using genome wide cancer sequencing and trasncriptomic datasets in breast cancer, funded by the BCRF, building on recent work (Gerlinger et al New England Journal of Medicine 2012 and Yap and Swanton Science Translational Medicine 2012). Potential candidates will be expected to have an interest in oncology and translational research and be proficient in ‘R’ or equivalent and have a strong statistical background. Competitive London PDRF salary will be offered to the successful applicant.

Please make informal inquiries with a CV and covering letter to charles.swanton@cancer.org.uk

Bioinformatics PhDs at KCL

Bioinformatics / Clinical Informatics PhD Topics at the Institute of Psychiatry, King’s College London. Closing date for applications is 12/12/12

Contact corinne.farrugia@kcl.ac.uk for further details / application pack and see this website for more details of each project

  • Epigenetics and gene expression in Alzheimer’s
  • Investigating Unreported Adverse Effects of Psychiatric Drugs through Data-Mining of Electronic Health Records and Integration of Clinical and Genomic Data
  • Drug repositioning: the application of old drugs to new diseases/targets
  • Text mining and machine learning to identify temporal patterns in co-morbidity networks derived from clinical data
  • Integrative translational ‘omics with a special focus on mental health : bioinformatics analyses for large scale omic data integration, biomarker discovery, drug repositioning and screening for new therapeutic targets
  • A Multi-agent paradigm for Integrating Cellular Networks
  • Applying machine learning methods to develop predictive models of treatment success for patients with chronic fatigue syndrome
  • Biomarkers of pre-clinical Alzheimer’s disease