{"id":791,"date":"2024-03-25T13:03:20","date_gmt":"2024-03-25T10:03:20","guid":{"rendered":"https:\/\/bgrssb.icgbio.ru\/2024\/?page_id=791"},"modified":"2024-05-06T12:13:52","modified_gmt":"2024-05-06T09:13:52","slug":"systems-computational-biology","status":"publish","type":"page","link":"https:\/\/bgrssb.icgbio.ru\/2024\/systems-computational-biology\/","title":{"rendered":"Symposium “Systems Computational Biology”"},"content":{"rendered":"

Section \u201cReconstruction, computational analysis
\nand modeling of gene networks and metabolic pathways\u201d<\/strong><\/span><\/h2>\n

The section \u00abReconstruction, computational analysis and modeling of gene networks and metabolic pathways\u00bb of the Symposium \u201cSystems Computational Biology\u201d is dedicated to the various aspects of molecular-genetic network biology (such networks might include but are not limited to gene regulatory networks, metabolic pathways, signal transduction pathways, etc.). The topics covered in the section include network inference and reconstruction, numerical simulations with ordinary differential equations, partial differential equations, Petri nets, etc., as well as parametric analysis and network evolution.<\/span><\/p>\n\n\n\n\n\n\n\n\n
\"\"<\/span><\/td>\n\"\"<\/span><\/td>\n\"\"<\/span><\/td>\n<\/tr>\n
Matteo Barberis<\/strong><\/a>,\u00a0<\/span>
\nUniversity of Surrey, Guildford, UK<\/span><\/td>\n		Sergey Lashin<\/strong><\/a>,\u00a0<\/span>
\nInstitute of Cytology and Genetics of SB RAS, Novosibirsk, Russia<\/span><\/td>\n		\u0413\u043e\u0432\u043e\u0440\u0443\u043d \u0412\u0430\u0434\u0438\u043c \u041c\u0430\u0440\u043a\u043e\u0432\u0438\u0447,<\/a>
\n<\/strong>\u041d\u0418\u0418 \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u043e\u0439 \u0431\u0438\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u044b \u0420\u043e\u0441\u043f\u043e\u0442\u0440\u0435\u0431\u043d\u0430\u0434\u0437\u043e\u0440\u0430, \u041c\u043e\u0441\u043a\u0432\u0430, \u0420\u043e\u0441\u0441\u0438\u044f<\/span><\/td>\n<\/tr>\n
\"\"<\/strong><\/td>\n\"\"<\/td>\n\"\"<\/td>\n<\/tr>\n
Ilya Akberdin<\/a>,<\/strong>
\nBiosoft.Ru; Institute of Cytology and Genetics of SB RAS; Novosibirsk State University, Novosibirsk, Russia; Sirius University, Sochi, Russia<\/span><\/td>\n		Vladimir Ivanisenko<\/a><\/strong>,\u00a0<\/span>
\nInstitute of Cytology and Genetics of SB RAS, Novosibirsk, Russia<\/span><\/td>\n		Ming\u00a0Chen<\/strong><\/a>,
\nZhejiang University, Zhejiang, China<\/span><\/td>\n<\/tr>\n
\"\"<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
Ralf Hofest\u00e4dt<\/a>,
\n<\/strong>University of Bielefeld, Germany<\/span><\/td>\n		<\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Section \u201cComputational analysis and modeling of population,
\necological and genetics systems and processes\u201d<\/strong><\/span><\/h2>\n

The section “Computational analysis and modeling of population, ecological and genetic systems and processes” of the Symposium “Systems Computational Biology” covers issues in mathematical modeling and computational analysis of population, ecological, and genetic systems and processes.\u00a0The main topics include:<\/span><\/p>\n