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Jenner lab, University College London Our laboratory uses genomics and biochemical techniques to identify how transcription factors, chromatin modifiers and non-coding RNAs act to regulate cell differentiation. Our research has led to the characterisation of a class of short RNAs transcribed from polycomb target genes that interact with polycomb repressive complex-2 (Kanhere et al., Mol Cell 2010) and the identification of transcriptional targets of T-cell master...

Dear All, We are seeking a computational research scientist interested in studying the roles of non-coding RNAs in cancer. The successful applicant will join the Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk). Located in Manchester UK, the Cancer Research UK Manchester Institute is a centre for excellence in cancer research. We occupy state-of...

...k how patterns in gene expression are disrupted in cancer. The project will suit a graduate student from a computational background with exceptional programming ability and strength in mathematics and statistics. The main focus of our group is directed at understanding the role played by noncoding RNAs (ncRNAs) in modulating the behaviour of cancer cells. These are RNA molecules that are transcribed, but never translated into protein sequences. Advances in sequencing technology have revealed large numbers of novel ncRNA loci in the genome, to the point where they are now known to outnumber protei...

...ith THF compared to dTGR showing compensated cardiac hypertrophy, but not yet THF.Experiments were conducted in age-matched 4 week-old male untreated dTGR.Untreated dTGR were divided in two subgroups, rats with cardiac hypertrophy (n=18) and rats with THF (n=8).Rats were killed at age 7 weeks.Total RNAs (five animals per group) were isolated from the left ventricle.For all rgu34_a affymetrix chips were used. Iam using maanova package. In using fitmaanova function, we have to set variables to formula and random.Plz, suggest me what to take in formula and random. *fit.fix <- fitmaanova(rat, for...