Laing, Emma - University of Surrey - School of Biosciences and Medicine

个人简介

After graduating from my first degree in Molecular Biology and Genetics at University of East Anglia in 2001, I ‘converted’ to ‘dry’ science by completing an MSc in Bioinformatics at University of East Anglia, where I started to look into predicting protein disorder from amino acid sequences (2001-2002). I consolidated this conversion by studying for my PhD in Bioinformatics at Manchester University from 2002-2005 (PhD awarded 2006). My PhD focussed upon the prediction and identification of operon structures within the genome of Streptomyces coelicolor using genetic features identified via sequence analysis and experimental (transcriptomic) data; the prediction algorithm I developed was also applied to Escherichia coli. It was during my PhD that I gained experience in the analysis of large-scale gene expression data for both prokaryotic and eukaryotic organisms. Directly following my PhD, from 2005, I worked as a Research Associate in Bioinformatics at the University of Surrey, where I was involved in all aspects of transcriptomics/interactomics (ChIP) analysis using microarrays related to the large Streptomyces coelicolor International research consortium ActinoGEN. During this time I was also involved in numerous other projects related to M. tuberculosis, several Human cancers and Human sleep and circadian rhythms. In 2009, I became a Lecturer in Bioinformatics at University of Surrey, promoted to Senior Lecturer in 2016.

研究领域

My research focuses on exploiting -omics data to further understanding of bioloigcal systems. My research involves data mining, machine learning, data integration and the development of computational tools and algorithms.

近期论文

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Matia-Gonzalez AM, Laing EE, Gerber AP. (2015) 'Conserved mRNA-binding proteomes in eukaryotic organisms'. NATURE PUBLISHING GROUP NATURE STRUCTURAL & MOLECULAR BIOLOGY, 22 (12), pp. 1027-1033. doi: 10.1038/nsmb.3128 Laing EE, Johnston JD, Möller-Levet CS, Bucca G, Smith CP, Dijk DJ, Archer SN. (2015) 'Exploiting human and mouse transcriptomic data: Identification of circadian genes and pathways influencing health'. BioEssays, 37 (5), pp. 544-556. doi: 10.1002/bies.201400193 Romero DA, Hasan AH, Lin YF, Kime L, Ruiz-Larrabeiti O, Urem M, Bucca G, Mamanova L, Laing EE, van Wezel GP, Smith CP, Kaberdin VR, McDowall KJ. (2014) 'A comparison of key aspects of gene regulation in Streptomyces coelicolor and Escherichia coli using nucleotide-resolution transcription maps produced in parallel by global and differential RNA sequencing.'. Mol Microbiol, doi: 10.1111/mmi.12810