<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vavilov</journal-id><journal-title-group><journal-title xml:lang="ru">Вавиловский журнал генетики и селекции</journal-title><trans-title-group xml:lang="en"><trans-title>Vavilov Journal of Genetics and Breeding</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2500-3259</issn><publisher><publisher-name>Institute of Cytology and Genetics of Siberian Branch of the RAS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18699/VJ17.310</article-id><article-id custom-type="elpub" pub-id-type="custom">vavilov-1265</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>СИСТЕМНАЯ БИОЛОГИЯ ЧЕЛОВЕКА И ЖИВОТНЫХ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>HUMAN AND ANIMAL SYSTEMS BIOLOGY</subject></subj-group></article-categories><title-group><article-title>Интернет-доступные информационные ресурсы по генным сетям, включающие данные по человеку и животным</article-title><trans-title-group xml:lang="en"><trans-title>Online resources on gene networks containing human and animal data</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Игнатьева</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Ignatieva</surname><given-names>E. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск.</p></bio><bio xml:lang="en"><p>Novosibirsk.</p></bio><email xlink:type="simple">eignat@bionet.nsc.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Афонников</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Afonnikov</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск.</p></bio><bio xml:lang="en"><p>Novosibirsk.</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Колчанов</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname> Kolchanov</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Новосибирск.</p></bio><bio xml:lang="en"><p>Novosibirsk.</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Федеральный исследовательский центр Институт цитологии и генетики Сибирского отделения Российской академии наук; Новосибирский национальный исследовательский государственный университет.<country>Россия</country></aff><aff xml:lang="en">Institute of Cytology and Genetics SB RAS;  Novosibirsk State University.<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>20</day><month>01</month><year>2018</year></pub-date><volume>21</volume><issue>8</issue><fpage>895</fpage><lpage>902</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Игнатьева Е.В., Афонников Д.А., Колчанов Н.А., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Игнатьева Е.В., Афонников Д.А., Колчанов Н.А.</copyright-holder><copyright-holder xml:lang="en">Ignatieva E.V., Afonnikov D.A.,  Kolchanov N.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vavilov.elpub.ru/jour/article/view/1265">https://vavilov.elpub.ru/jour/article/view/1265</self-uri><abstract><p>Генные сети – это молекулярно­генетические системы, обеспечивающие формирование фенотипических характеристик организ­  мов (молекулярных, биохимических, структурных, морфологических, поведенческих и т. д.) на основе информации, закодированной в их геномах. Реконструкция генных сетей обеспечивает методическую основу современной системной биологии. Большую ценность представляет информация о структурно­функциональной организации генных сетей, накопленная в современных базах данных. В настоящем обзоре представлена характеристика интернет­доступных информационных ресурсов, ориентированных на человека и животных и содержащих данные по генным сетям и их функциональным модулям. Не претендуя на полноту охвата абсолютно всех информационных ресурсов, содержащих данные, относящиеся к человеку и животным по этой тематике, предложенный обзор создан для того, чтобы оценить современное состояние проблемы, а также представить критерии, согласно которым целесообразно оценивать полезность информационных ресурсов для конкретных исследовательских задач. Исходя из этого нами, во­первых, была сформирована и охарактеризована подборка баз данных, содержащих сведения о метаболических и сигнальных путях, а также о путях регуляции биологических процессов на клеточном и организменном уровнях. Во­вторых, в качестве примера описаны несколько известных баз данных по меж молекулярным взаимодействиям различных типов. В обзоре рас сматриваются следующие характеристики баз данных: 1) типы на копленной информации; 2) способы представления информации; 3) способы наполнения баз данных; 4) основные источники инфор мации; 5) программные средства, позволяющие осуществлять поиск и анализ данных. Сопоставление перечисленных характеристик показало, что рассмотренные базы данных очень гетерогенны по тематике, источникам, типам и способу представления информации, а также по возможностям формировать запросы и анализировать данные. Делается вывод о том, что до начала реконструкции генной сети определенного биологического процесса очень важно иметь пред ставление о максимально полном наборе информационных источников, из которых может быть взята информация. Приведены примеры веб­порталов, аккумулирующих сведения о базах данных и информационных ресурсах, которые могут быть полезны для реконструкции и анализа генных сетей.</p></abstract><trans-abstract xml:lang="en"><p>Gene networks are molecular genetic systems that ensure the formation of phenotypic characteristics of organisms (molecular, biochemical, structural, morphological, behavioral, etc.) based on  information encoded in their genomes. Reconstruction of gene networks provides a methodological basis for modern systems biology. In this regard, the information on the structural and functional organization of gene networks accumulated in modern databases is extremely valuable. This review characterizes a number of Internetaccessible information resources oriented to humans and animals and containing data on gene networks and their functional modules. Without pretending to fully cover all information resources containing data related to humans and animals on the subject, the current review was created to report the current status of the problem and to present the criteria according to which we propose to evaluate the utility of webresources for specific research tasks. On this basis, we compiled and characterized a collection of databases containing information on metabolic and signaling pathways, as well as pathways of regulation of biological processes at the cellular and organismal levels. In addition, we observed the characteristics of several well­known databases containing data on interactions between biomolecules of various types. The following characteristics of databases were considered: (1) the types of information accumulated in the databases; (2) methods of data presentation; (3) methods of data collection; (4) data sources; (5) special search tools and options for data analysis. A comparison of the above characteristics showed that the databases are very heterogeneous according to their scopes, sources and types of data, interfaces, as well as according to their search options and data analysis tools. It was concluded that at the first step of the gene network reconstruction it is important to form a full set of information resources from which the data can be obtained. The web portals accumulating information about the databases that may be useful for the reconstruction and analysis of gene networks are specified.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>системная биология</kwd><kwd>базы данных</kwd><kwd>генные сети</kwd><kwd>Интернет</kwd></kwd-group><kwd-group xml:lang="en"><kwd>systems biology</kwd><kwd>databases</kwd><kwd>gene networks</kwd><kwd>Internet</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Galperin M.Y., Fernández-Suárez X.M., Rigden D.J. The 24th annual Nucleic Acids Research database issue: a look back and upcoming changes. Nucleic Acids Res. 2017;45(D1):D1-D11. DOI 10.1093/nar/gkw1188.</mixed-citation><mixed-citation xml:lang="en">Galperin M.Y., Fernández-Suárez X.M., Rigden D.J. The 24th annual Nucleic Acids Research database issue: a look back and upcoming changes. Nucleic Acids Res. 2017;45(D1):D1-D11. DOI 10.1093/nar/gkw1188.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Glotov A.S., Tiys E.S., Vashukova E.S., Pakin V.S., Demenkov P.S., Saik O.V., Ivanisenko T.V., Arzhanova O.N., Mozgovaya E.V., Zainulina M.S., Kolchanov N.A., Baranov V.S., Ivanisenko V.A. Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). BMC Syst. Biol. 2015;9(Suppl.2):S4. DOI 10.1186/1752-0509-9-S2-S4.</mixed-citation><mixed-citation xml:lang="en">Glotov A.S., Tiys E.S., Vashukova E.S., Pakin V.S., Demenkov P.S., Saik O.V., Ivanisenko T.V., Arzhanova O.N., Mozgovaya E.V., Zainulina M.S., Kolchanov N.A., Baranov V.S., Ivanisenko V.A. Molecular association of pathogenetic contributors to pre-eclampsia (pre-eclampsia associome). BMC Syst. Biol. 2015;9(Suppl.2):S4. DOI 10.1186/1752-0509-9-S2-S4.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Ignatieva E.V., Afonnikov D.A., Saik O.V., Rogaev E.I., Kolchanov N.A. A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network. BMC Genet. 2016;17(Suppl.3):158. DOI 10.1186/s12863-016-0466-2.</mixed-citation><mixed-citation xml:lang="en">Ignatieva E.V., Afonnikov D.A., Saik O.V., Rogaev E.I., Kolchanov N.A. A compendium of human genes regulating feeding behavior and body weight, its functional characterization and identification of GWAS genes involved in brain-specific PPI network. BMC Genet. 2016;17(Suppl.3):158. DOI 10.1186/s12863-016-0466-2.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Ivanisenko V.A., Saik O.V., Ivanisenko N.V., Tiys E.S., Ivanisenko T.V., Demenkov P.S., Kolchanov N.A. ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology. BMC Syst. Biol. 2015;9(Suppl.2):S2. DOI 10.1186/1752-0509-9-S2-S2.</mixed-citation><mixed-citation xml:lang="en">Ivanisenko V.A., Saik O.V., Ivanisenko N.V., Tiys E.S., Ivanisenko T.V., Demenkov P.S., Kolchanov N.A. ANDSystem: an Associative Network Discovery System for automated literature mining in the field of biology. BMC Syst. Biol. 2015;9(Suppl.2):S2. DOI 10.1186/1752-0509-9-S2-S2.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Kauffman S. Homeostasis and differentiation in random genetic control networks. Nature. 1969;224(5215):177-178.</mixed-citation><mixed-citation xml:lang="en">Kauffman S. Homeostasis and differentiation in random genetic control networks. Nature. 1969;224(5215):177-178.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Khatri P., Sirota M., Butte A.J. Ten years of pathway analysis: current approaches and outstanding challenges. PLoS Comput. Biol. 2012;8(2):e1002375. DOI 10.1371/journal.pcbi.1002375.</mixed-citation><mixed-citation xml:lang="en">Khatri P., Sirota M., Butte A.J. Ten years of pathway analysis: current approaches and outstanding challenges. PLoS Comput. Biol. 2012;8(2):e1002375. DOI 10.1371/journal.pcbi.1002375.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Kolchanov N.A., Anan’ko E.A., Kolpakov F.A., Podkolodnaya O.A., Ignatieva E.V., Goryachkovskaya T.N., Stepanenko E.L. Gene networks. Molekulyarnaya biologiya = Molecular Biology (Moscow). 2000;34(4):533-544. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Kolchanov N.A., Anan’ko E.A., Kolpakov F.A., Podkolodnaya O.A., Ignatieva E.V., Goryachkovskaya T.N., Stepanenko E.L. Gene networks. Molekulyarnaya biologiya = Molecular Biology (Moscow). 2000;34(4):533-544. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Kolchanov N.A., Ignatieva E.V., Podkolodnaya O.A., Likhoshvai V.А., Matushkin Yu.G. Gene networks. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2013;17(4/2): 833-850. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Kolchanov N.A., Ignatieva E.V., Podkolodnaya O.A., Likhoshvai V.А., Matushkin Yu.G. Gene networks. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2013;17(4/2): 833-850. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Kolchanov N.A., Merkulova T.I., Ignatieva E.V., Ananko E.A., Oshchep kov D.Y., Levitsky V.G., Vasiliev G.V., Klimova N.V., Merkulov V.M., Hodgman T.C. Combined experimental and computational approaches to study the regulatory elements in eukaryotic genes. Brief. Bioinform. 2007;8(4):266-274.</mixed-citation><mixed-citation xml:lang="en">Kolchanov N.A., Merkulova T.I., Ignatieva E.V., Ananko E.A., Oshchep kov D.Y., Levitsky V.G., Vasiliev G.V., Klimova N.V., Merkulov V.M., Hodgman T.C. Combined experimental and computational approaches to study the regulatory elements in eukaryotic genes. Brief. Bioinform. 2007;8(4):266-274.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Kutmon M., Riutta A., Nunes N., Hanspers K., Willighagen E.L., Bohler A., Mélius J., Waagmeester A., Sinha S.R., Miller R., Coort S.L., Cirillo E., Smeets B., Evelo C.T., Pico A.R. WikiPathways: capturing the full diversity of pathway knowledge. Nucleic Acids Res. 2016;44(D1):D488-494. DOI 10.1093/nar/gkv1024.</mixed-citation><mixed-citation xml:lang="en">Kutmon M., Riutta A., Nunes N., Hanspers K., Willighagen E.L., Bohler A., Mélius J., Waagmeester A., Sinha S.R., Miller R., Coort S.L., Cirillo E., Smeets B., Evelo C.T., Pico A.R. WikiPathways: capturing the full diversity of pathway knowledge. Nucleic Acids Res. 2016;44(D1):D488-494. DOI 10.1093/nar/gkv1024.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Lei X., Wu S., Ge L., Zhang A. Clustering and overlapping modules detection in PPI network based on IBFO. Proteomics. 2013;13(2):278290. DOI 10.1002/pmic.201200309.</mixed-citation><mixed-citation xml:lang="en">Lei X., Wu S., Ge L., Zhang A. Clustering and overlapping modules detection in PPI network based on IBFO. Proteomics. 2013;13(2):278290. DOI 10.1002/pmic.201200309.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Levitsky V.G., Ignatieva E.V., Ananko E.A., Turnaev I.I., Merkulova T.I., Kolchanov N.A., Hodgman T.C. Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions. BMC Bioinformatics. 2007;8:481. DOI 10.1186/14712105-8-481.</mixed-citation><mixed-citation xml:lang="en">Levitsky V.G., Ignatieva E.V., Ananko E.A., Turnaev I.I., Merkulova T.I., Kolchanov N.A., Hodgman T.C. Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions. BMC Bioinformatics. 2007;8:481. DOI 10.1186/14712105-8-481.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Li J.R., Suzuki T., Nishimura H., Kishima M., Maeda S., Suzuki H. Asymmetric regulation of peripheral genes by two transcriptional regulatory networks. PLoS ONE. 2016;11(8):e0160459. DOI 10.1371/journal.pone.0160459.</mixed-citation><mixed-citation xml:lang="en">Li J.R., Suzuki T., Nishimura H., Kishima M., Maeda S., Suzuki H. Asymmetric regulation of peripheral genes by two transcriptional regulatory networks. PLoS ONE. 2016;11(8):e0160459. DOI 10.1371/journal.pone.0160459.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">McMullen P.D., Bhattacharya S., Woods C.G., Sun B., Yarborough K., Ross S.M., Miller M.E., McBride M.T., LeCluyse E.L., Clewell R.A., Andersen M.E. A map of the PPARα transcription regulatory network for primary human hepatocytes. Chem. Biol. Interact. 2014;209:14-24. DOI 10.1016/j.cbi.2013.11.006.</mixed-citation><mixed-citation xml:lang="en">McMullen P.D., Bhattacharya S., Woods C.G., Sun B., Yarborough K., Ross S.M., Miller M.E., McBride M.T., LeCluyse E.L., Clewell R.A., Andersen M.E. A map of the PPARα transcription regulatory network for primary human hepatocytes. Chem. Biol. Interact. 2014;209:14-24. DOI 10.1016/j.cbi.2013.11.006.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Mustafin Z.S., Lashin S.A., Matushkin Y.G., Gunbin K.V., Afonnikov D.A. Orthoscape: a cytoscape application for grouping and visualization KEGG based gene networks by taxonomy and homology principles. BMC Bioinformatics. 2017;18(Suppl.1):1427. DOI 10.1186/s12859-016-1427-5.</mixed-citation><mixed-citation xml:lang="en">Mustafin Z.S., Lashin S.A., Matushkin Y.G., Gunbin K.V., Afonnikov D.A. Orthoscape: a cytoscape application for grouping and visualization KEGG based gene networks by taxonomy and homology principles. BMC Bioinformatics. 2017;18(Suppl.1):1427. DOI 10.1186/s12859-016-1427-5.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Neph S., Stergachis A.B., Reynolds A., Sandstrom R., Borenstein E., Stamatoyannopoulos J.A. Circuitry and dynamics of human transcription factor regulatory networks. Cell. 2012;150(6):1274-1286. DOI 10.1016/j.cell.2012.04.040.</mixed-citation><mixed-citation xml:lang="en">Neph S., Stergachis A.B., Reynolds A., Sandstrom R., Borenstein E., Stamatoyannopoulos J.A. Circuitry and dynamics of human transcription factor regulatory networks. Cell. 2012;150(6):1274-1286. DOI 10.1016/j.cell.2012.04.040.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Obermayer B., Levine E. Exploring the miRNA regulatory network using evolutionary correlations. PLoS Comput. Biol. 2014;10(10): e1003860. DOI 10.1371/journal.pcbi.1003860.</mixed-citation><mixed-citation xml:lang="en">Obermayer B., Levine E. Exploring the miRNA regulatory network using evolutionary correlations. PLoS Comput. Biol. 2014;10(10): e1003860. DOI 10.1371/journal.pcbi.1003860.</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Plaisier C.L., Pan M., Baliga N.S. A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. Genome Res. 2012;22(11):2302-2314. DOI 10.1101/gr.133991.111.</mixed-citation><mixed-citation xml:lang="en">Plaisier C.L., Pan M., Baliga N.S. A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. Genome Res. 2012;22(11):2302-2314. DOI 10.1101/gr.133991.111.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Podkolodnaya O.A., Tverdokhleb N.N., Podkolodnyy N.L. Computational modeling of the cell-autonomous mammalian circadian oscillator. BMC Syst. Biol. 2017;11(Suppl.1):379. DOI 10.1186/s12918016-0379-8.</mixed-citation><mixed-citation xml:lang="en">Podkolodnaya O.A., Tverdokhleb N.N., Podkolodnyy N.L. Computational modeling of the cell-autonomous mammalian circadian oscillator. BMC Syst. Biol. 2017;11(Suppl.1):379. DOI 10.1186/s12918016-0379-8.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Podkolodnyy N.L., Tverdokhleb N.N., Podkolodnaya O.A. Computational model for mammalian circadian oscillator: interacting with NAD+/SIRT1 pathway and age-related changes in gene expression of circadian oscillator. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2016;20(6):848856. DOI 10.18699/VJ16.201. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Podkolodnyy N.L., Tverdokhleb N.N., Podkolodnaya O.A. Computational model for mammalian circadian oscillator: interacting with NAD+/SIRT1 pathway and age-related changes in gene expression of circadian oscillator. Vavilovskii Zhurnal Genetiki i Selektsii = Vavilov Journal of Genetics and Breeding. 2016;20(6):848856. DOI 10.18699/VJ16.201. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Ratner V.A. Geneticheskie upravlyayushchie sistemy [Genetic Control Systems]. Novosibirsk: Nauka Publ., 1966. (in Russian)</mixed-citation><mixed-citation xml:lang="en">Ratner V.A. Geneticheskie upravlyayushchie sistemy [Genetic Control Systems]. Novosibirsk: Nauka Publ., 1966. (in Russian)</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Reece-Hoyes J.S., Deplancke B., Shingles J., Grove C.A., Hope I.A., Walhout A.J. A compendium of Caenorhabditis elegans regulatory transcription factors: a resource for mapping transcription regulatory networks. Genome Biol. 2005;6(13):R110.</mixed-citation><mixed-citation xml:lang="en">Reece-Hoyes J.S., Deplancke B., Shingles J., Grove C.A., Hope I.A., Walhout A.J. A compendium of Caenorhabditis elegans regulatory transcription factors: a resource for mapping transcription regulatory networks. Genome Biol. 2005;6(13):R110.</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Saik O.V., Ivanisenko T.V., Demenkov P.S., Ivanisenko V.A. Interactome of the hepatitis C virus: Literature mining with ANDSystem. Virus Res. 2016;218:40-48. DOI 10.1016/j.virusres.2015.12.003.</mixed-citation><mixed-citation xml:lang="en">Saik O.V., Ivanisenko T.V., Demenkov P.S., Ivanisenko V.A. Interactome of the hepatitis C virus: Literature mining with ANDSystem. Virus Res. 2016;218:40-48. DOI 10.1016/j.virusres.2015.12.003.</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">Stergachis A.B., Neph S., Sandstrom R., Haugen E., Reynolds A.P., Zhang M., Byron R., Canfield T., Stelhing-Sun S., Lee K., Thurman R.E., Vong S., Bates D., Neri F., Diegel M., Giste E., Dunn D., Vierstra J., Hansen R.S., Johnson A.K., Sabo P.J., Wilken M.S., Reh T.A., Treuting P.M., Kaul R., Groudine M., Bender M.A., Borenstein E., Stamatoyannopoulos J.A. Conservation of trans-acting circuitry during mammalian regulatory evolution. Nature. 2014; 515(7527):365-370. DOI 10.1038/nature13972.</mixed-citation><mixed-citation xml:lang="en">Stergachis A.B., Neph S., Sandstrom R., Haugen E., Reynolds A.P., Zhang M., Byron R., Canfield T., Stelhing-Sun S., Lee K., Thurman R.E., Vong S., Bates D., Neri F., Diegel M., Giste E., Dunn D., Vierstra J., Hansen R.S., Johnson A.K., Sabo P.J., Wilken M.S., Reh T.A., Treuting P.M., Kaul R., Groudine M., Bender M.A., Borenstein E., Stamatoyannopoulos J.A. Conservation of trans-acting circuitry during mammalian regulatory evolution. Nature. 2014; 515(7527):365-370. DOI 10.1038/nature13972.</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Tomaru Y., Hasegawa R., Suzuki T., Sato T., Kubosaki A., Suzuki M., Kawaji H., Forrest A.R., Hayashizaki Y., FANTOM Consortium, Shin J.W., Suzuki H. A transient disruption of fibroblastic transcriptional regulatory network facilitates trans-differentiation. Nucleic Acids Res. 2014;42(14):8905-8913. DOI 10.1093/nar/gku567.</mixed-citation><mixed-citation xml:lang="en">Tomaru Y., Hasegawa R., Suzuki T., Sato T., Kubosaki A., Suzuki M., Kawaji H., Forrest A.R., Hayashizaki Y., FANTOM Consortium, Shin J.W., Suzuki H. A transient disruption of fibroblastic transcriptional regulatory network facilitates trans-differentiation. Nucleic Acids Res. 2014;42(14):8905-8913. DOI 10.1093/nar/gku567.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
