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个人简介

Dr Priyank Shukla was appointed to his current post as a Lecturer in Stratified Medicine (Bioinformatics) at Ulster University in July 2016. Dr Shukla earned his BSc in Biotechnology (2001-2004) from Bareilly College (MJPR University, Bareilly, India) and MSc in Bioinformatics (2004-2006) from University Institute of Engineering & Technology (CSJM University, Kanpur, India). He then joined Laboratory of Genomics at Department of Histology Embryology and Applied Biology, University of Bologna for three months as a Visiting Researcher to co-work on a bioinformatics project aimed to full parsing of Genbank database. He completed a PhD in Computer Science (area of research: Machine Learning and Bioinformatics) at Bologna Biocomputing Group under the supervision of Professor Rita Casadio, where he developed Machine Learning based methods for prediction of disulphide bonding states of cysteine residues in proteins. Dr Shukla undertook a Postdoctoral Scientist (Bioinformatics) position at Department of Biomedical Sciences, University of Veterinary Medicine, Vienna, Austria (2010-2016), where he was responsible for consulting, data analysis and data management of Next Generation Sequencing (NGS) based projects of Jak-Stat Signalling Consortium. His research focused on applying NGS approaches to understand Epithelial to Mesenchymal Transition (EMT) and Jak-Stat Signalling – linking infection, inflammation and cancer.

近期论文

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Response to interferons and antibacterial innate immunity in the absence of tyrosine-phosphorylated STAT1 EMBO Reports Date: (2016) High-throughput mRNA and miRNA profiling of epithelial-mesenchymal transition in MDCK cells BMC Genomics Date: (2015) Antimicrobial transcriptional response by integrated signals through STAT and NFkB pathways Cytokine Date: (2015) Exploring transcriptome and miRNAome of Epithelial to Mesenchymal Transition (EMT) in MDCK cells by deep sequencing Date: (2015) Date: (2015) Cooperative Transcriptional Activation of Antimicrobial Genes by STAT and NF-κB Pathways by Concerted Recruitment of the Mediator Complex Cell Reports Date: (2013) Computational SNP Analysis: Current Approaches and Future Prospects Cell Biochemistry and Biophysics Date: (2013) Identification of Genetic Variation on the Horse Y Chromosome and the Tracing of Male Founder Lineages in Modern Breeds PloS One Date: (2012) Evolution of Jak & Stat proteins Jak-Stat Signaling: From Basics to Disease Date: (2011) Prediction of the bonding state of cysteine residues in proteins with machine-learning methods Computational Intelligence Methods for Bioinformatics and Biostatistics Machine learning methods for prediction of disulphide bonding states of cysteine residues in proteins Date: (2010)

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