VANESA, facilitating the integrated analysis of gene and microRNA-based regulation

Autor: Brinkrolf, C, Hofestaedt, R, Allmer, J

Publikováno v: 63. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20180902-20180906; Osnabrück; DOCAbstr. 213 /20180827/

Introduction: A disease often manifests itself through protein dysregulation. MicroRNAs (miRNAs) are involved in the post-transcriptional regulation of protein abundance. Therefore, they have often been implicated with human disease. These approximat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f3e23b9f1dbc7f7db767f85b93a37c

An Accurate and Efficient Approach to Knowledge Extraction from Scientific Publications Using Structured Ontology Models, Graph Neural Networks, and Large Language Models.

Autor: Ivanisenko, Timofey V.^1,2 (AUTHOR) demps@bionet.nsc.ru, Demenkov, Pavel S.^1,2 (AUTHOR) salix@bionet.nsc.ru, Ivanisenko, Vladimir A.^1,2 (AUTHOR)

Publikováno v: International Journal of Molecular Sciences. Nov2024, Vol. 25 Issue 21, p11811. 27p.

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Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases.

Autor: Bragina EY; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Goncharova IA; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Garaeva AF; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia.; Siberian State Medical University, Tomsk, Russia., Nemerov EV; Siberian State Medical University, Tomsk, Russia., Babovskaya AA; Siberian State Medical University, Tomsk, Russia., Karpov AB; Seversk Biophysical Research Centre of the Federal Medico-Biological Agency, Seversk, Russia., Semenova YV; Seversk Clinical Hospital, Siberian Federal Research and Clinical Centre of the Federal Medico-Biological Agency, Seversk, Russia., Zhalsanova IZ; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Gomboeva DE; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Saik OV; The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia., Zolotareva OI; Bielefeld University, Bioinformatics/Medical Informatics Department, Bielefeld, Germany.; International Research Training Group 'Computational Methods for the Analysis of the Diversity and Dynamics of Genomes' and Genome Informatics, Faculty of Technology and Center for Biotechnology, Bielefeld University, Bielefeld, Germany., Ivanisenko VA; The Federal Research Center Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia., Dosenko VE; Bogomoletz Institute of Physiology, National Academy of Science, Kiev, Ukraine., Hofestaedt R; Bielefeld University, Bioinformatics/Medical Informatics Department, Bielefeld, Germany., Freidin MB; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia.

Publikováno v: Journal of integrative bioinformatics [J Integr Bioinform] 2018 Dec 10; Vol. 15 (4). Date of Electronic Publication: 2018 Dec 10.

Novel candidate genes important for asthma and hypertension comorbidity revealed from associative gene networks.

Autor: Saik OV; Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia. saik@bionet.nsc.ru., Demenkov PS; Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia., Ivanisenko TV; Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia., Bragina EY; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Freidin MB; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Goncharova IA; Research Institute of Medical Genetics, Tomsk NRMC, Tomsk, Russia., Dosenko VE; Bogomoletz Institute of Physiology, Kiev, Ukraine., Zolotareva OI; Bielefeld University, International Research Training Group 'Computational Methods for the Analysis of the Diversity and Dynamics of Genomes', Bielefeld, Germany., Hofestaedt R; Bielefeld University, Technical Faculty, AG Bioinformatics and Medical Informatics, Bielefeld, Germany., Lavrik IN; Department of Translational Inflammation, Institute of Experimental Internal Medicine, Otto von Guericke University, Magdeburg, Germany., Rogaev EI; Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia.; University of Massachusetts Medical School, Worcester, MA, USA.; Department of Genomics and Human Genetics, Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.; Center for Genetics and Genetic Technologies, Faculty of Biology, Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia., Ivanisenko VA; Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia.

Publikováno v: BMC medical genomics [BMC Med Genomics] 2018 Feb 13; Vol. 11 (Suppl 1), pp. 15. Date of Electronic Publication: 2018 Feb 13.