Tag: Bioinformatics
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IBD and bowel cancer
29th April 2019
April is Bowel Cancer Awareness Month. We recently spoke with Dr Kit Curtius about her work which focuses on understanding how normal tissues evolve to become cancerous, with a particular interest in gastrointestinal pre-malignancies such as inflammatory bowel disease.
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Study links widely-used drug azathioprine to skin cancers
14th September 2018
A drug used to treat inflammatory bowel disease and arthritis, and prevent organ rejection in transplant patients, has been identified as an important contributor to skin cancer development in a study by researchers from Queen Mary University of London, including our Barts Cancer Research UK Centre (BCC) Bioinformatics team, the University of Dundee and the Wellcome Sanger Institute.
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SNPnexus: Assessing the impact of genetic variation
30th August 2018
A team of researchers from BCI’s Centre for Molecular Oncology, led by Prof Claude Chelala, have made new developments to SNPnexus- a computational tool that allows for the assessment of the functional effect of sequence variants within the genome.
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Fellows inaugurated at new Rutherford Academy of Population Genomics and Health Data Science
16th May 2018
Queen Mary University of London has appointed four research fellows to its new Rutherford Academy of Population Genomics and Health Data Science, funded by the Medical Research Council and UK Research and Innovation’s Rutherford Fund. Two of the fellows include BCI’s Dr Kit Curtius and Dr Dayem Ullah.
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London Pancreas Workshop 2018
11th May 2018
On Friday 4th May, BCI hosted the seventh London Pancreas Workshop, co-organised by Prof Hemant Kocher and our Director Prof Nick Lemoine, which attracted delegates from across Europe and America, with over 140 attendees in total. The biennial event is recognised as a forum for state-of-the-art clinical and basic research in pancreatic cancer.
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Staying connected: New developments for tissue banking bioinformatics
1st February 2018
A team of researchers at the Barts Cancer Institute (BCI) of Queen Mary University of London have developed new analytical tools to aid in the analysis of tissue bank (TB) samples, which are an extremely valuable resource for scientists.
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