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UID:488@biocityturku.fi
DTSTART;TZID=Europe/Helsinki:20190503T110000
DTEND;TZID=Europe/Helsinki:20190503T120000
DTSTAMP:20231013T063551Z
URL:https://biocityturku.fi/events/complifesci-guest-seminar-using-text-mi
 ning-in-biomedical-databases/
SUMMARY:CompLifeSci Guest seminar: Using text mining in biomedical database
 s
DESCRIPTION:Prof. Lars Juhl Jensen\, Disease Systems Biology Program\, Univ
 ersity of Copenhagen: Using text mining in biomedical databases\n\nCoffee 
 at 10:45\n\nhttps://biocityturku.fi/research-programmes/computational-and-
 molecular-methodologies-for-life-sciences-complifesci/seminars/\n\nLars Ju
 hl Jensen started his research career in Søren Brunak’s group at the Te
 chnical University of Denmark (DTU)\, from which he in 2002 received the P
 h.D. degree in bioinformatics for his work on non-homology based protein f
 unction prediction. During this time\, he also developed methods for visua
 lization of microbial genomes\, pattern recognition in promoter regions\, 
 and microarray analysis. From 2003 to 2008\, he was at the European Molecu
 lar Biology Laboratory (EMBL) where he worked on literature mining\, integ
 ration of large-scale experimental datasets\, and analysis of biological i
 nteraction networks. Since the beginning of 2009\, he has continued this l
 ine of research as a professor at the Novo Nordisk Foundation Center for P
 rotein Research at the Panum Institute in Copenhagen and as a co-founder a
 nd scientific advisor of Intomics A/S.\n\nSelected publications:\nSzklarcz
 yk D\, Gable AL\, Lyon D\, Junge A\, Wyder S\, Huerta-Cepas J\, Simonovic 
 M\, Doncheva NT\, Morris JH\, Bork P*\, Jensen LJ* and von Mering C* (2019
 ). STRING v11: protein–protein association networks with increased cover
 age\, supporting functional discovery in genome-wide experimental datasets
 . Nucleic Acids Research\, 47:D607-D613.\n\nOprea TI\, Bologa CG\, Brunak 
 S\, Campbell A\, Gan GN\, Gaulton A\, Gomez SM\, Guha R\, Hersey A\, Holme
 s J\, Jadhav A\, Jensen LJ\, Johnson GL\, Karlson A\, Leach AR\, Ma’ayan
  A\, Malovannaya A\, Mani S\, Mathias SL\, McManus MT\, Meehan TF\, von Me
 ring C\, Muthas D\, Nguyen DT\, Overington JP\, Papadatos G\, Qin J\, Reic
 h C\, Roth BL\, Schürer SC\, Simeonov A\, Sklar LA\, Southall N\, Tomita 
 S\, Tudose I\, Ursu O\, Vidovic D\, Waller A\, Westergaard D\, Yang JJ and
  Zahoránszky-Köhalmi G (2018). Unexplored therapeutic opportunities in t
 he human genome. Nature Reviews Drug Discovery\, 17:377.\n\nWestergaard D\
 , Stærfeldt H-H\, Tønsberg C\, Jensen LJ* and Brunak S* (2018). Text min
 ing of 15 million full-text scientific articles. PLOS Computational Biolog
 y\, 14:e1005962.\n\nPafilis E\, Buttigieg PL\, Ferrell B\, Pereira E\, Sch
 netzer J\, Arvanitidis C and Jensen LJ (2016). EXTRACT: Interactive extrac
 tion of environment metadata and term suggestion for metagenomic sample an
 notation. Database\, 2016:baw005.\n\nPletscher-Frankild S\, Pallejà A\, T
 safou K\, Binder JX and Jensen LJ (2015). DISEASES: Text mining and data i
 ntegration of disease–gene associations. Methods\, 74:83-89\n\n&nbsp\;
CATEGORIES:BiocityTurku events
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TZID:Europe/Helsinki
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DTSTART:20190331T040000
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