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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Oncohematology</journal-id><journal-title-group><journal-title xml:lang="en">Oncohematology</journal-title><trans-title-group xml:lang="ru"><trans-title>Онкогематология</trans-title></trans-title-group></journal-title-group><issn publication-format="print">1818-8346</issn><issn publication-format="electronic">2413-4023</issn><publisher><publisher-name xml:lang="en">Publishing House ABV Press</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">217</article-id><article-id pub-id-type="doi">10.17650/1818-8346-2016-11-4-22-32</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>BASIC RESEARCH</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ФУНДАМЕНТАЛЬНЫЕ ИССЛЕДОВАНИЯ В ПРАКТИЧЕСКОЙ МЕДИЦИНЕ НА СОВРЕМЕННОМ ЭТАПЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject></subject></subj-group></article-categories><title-group><article-title xml:lang="en">NEXT-GENERATION GENE SEQUENCING AND ITS APPLICATIONS IN ONCOHEMATOLOGY</article-title><trans-title-group xml:lang="ru"><trans-title>СЕКВЕНИРОВАНИЕ НОВОГО ПОКОЛЕНИЯ И ОБЛАСТИ ЕГО ПРИМЕНЕНИЯ В ОНКОГЕМАТОЛОГИИ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Barkhatov</surname><given-names>I. M.</given-names></name><name xml:lang="ru"><surname>Бархатов</surname><given-names>И. М.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>6–8 L’va Tolstogo St., Saint Petersburg 197022, Russia</p></bio><bio xml:lang="ru"><p>Ильдар Мунерович Бархатов.</p><p>197022 Санкт-Петербург, ул. Льва Толстого, 6–8; <ext-link ext-link-type="uri" xlink:href="mailto:i.barkhatov@gmail.com">i.barkhatov@gmail.com</ext-link></p></bio><email>i.barkhatov@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Predeus</surname><given-names>A. V.</given-names></name><name xml:lang="ru"><surname>Предеус</surname><given-names>А. В.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>2 Kantemirovskaya St., Saint Petersburg 194100, Russia</p></bio><bio xml:lang="ru"><p>194100 Санкт-Петербург, ул. Кантемировская, 2</p></bio><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Chukhlovin</surname><given-names>A. B.</given-names></name><name xml:lang="ru"><surname>Чухловин</surname><given-names>А. Б.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><bio xml:lang="en"><p>6–8 L’va Tolstogo St., Saint Petersburg 197022, Russia</p></bio><bio xml:lang="ru"><p>197022 Санкт-Петербург, ул. Льва Толстого, 6–8</p></bio><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">R.M. Gorbacheva Memorial Research Institute of Children Oncology, Hematology and Transplantation, I.P. Pavlov First Saint Petersburg State Medical University</institution></aff><aff><institution xml:lang="ru">Научно-исследовательский институт детской онкологии, гематологии и трансплантологии имени Р.М. Горбачевой, Первый Санкт-Петербургский государственный медицинский университет имени И.П. Павлова</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Bioinformatics Institute, Saint Petersburg National Research Academic University of the Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Институт биоинформатики, Санкт-Петербургский национальный исследовательский Академический университет Российской академии наук</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2016-12-03" publication-format="electronic"><day>03</day><month>12</month><year>2016</year></pub-date><volume>11</volume><issue>4</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>56</fpage><lpage>63</lpage><history><date date-type="received" iso-8601-date="2017-01-04"><day>04</day><month>01</month><year>2017</year></date><date date-type="accepted" iso-8601-date="2017-01-04"><day>04</day><month>01</month><year>2017</year></date></history><permissions><copyright-year>2016</copyright-year><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/></permissions><self-uri xlink:href="https://oncohematology.abvpress.ru/ongm/article/view/217">https://oncohematology.abvpress.ru/ongm/article/view/217</self-uri><abstract xml:lang="en"><p>The review bears on basic principles and technologies of next-generation sequencing (NGS), as well as its applications for detection of gene mutations in leukemic cells. We discuss some novel data concerning NGS approach to studies of genetic heterogeneity in myeloproliferative disorders, detection of high-risk genes, including drug resistance mutations, epigenomic changes associated with leukemias, as well as molecular aspects of clonal evolution. A special section concerns basic problems with bioinformatics and adequate analysis of large digital databases obtained with NGS approach. Optimal choice of appropriate software is of utmost importance for adequate retrieval and interpretation of the NGS data.</p></abstract><trans-abstract xml:lang="ru"><p>Обзорная статья касается основных принципов и технологий генного секвенирования нового поколения (next-generationsequencing, NGS), а также его приложений к оценке генных мутаций в лейкозных клетках. Обсуждается ряд современных работ, касающихся применения NGS в исследованиях генетической гетерогенности при миелопролиферативных заболеваниях, для выявления генов высокого клинического риска, в том числе мутаций, связанных с резистентностью к терапии, анализа эпигеномных нарушений при лейкозах, а также молекулярных аспектов эволюции злокачественных клонов. Отдельный раздел посвящен основным проблемам, связанным с биоинформатикой и корректным анализом больших компьютерных баз результатов NGS-исследований. Адекватный выбор программных продуктов очень важен для адекватной обработки и интерпретации данных NGS.</p></trans-abstract><kwd-group xml:lang="en"><kwd>next generation sequencing</kwd><kwd>technologies</kwd><kwd>leukemia</kwd><kwd>gene mutations</kwd><kwd>bioinformatics</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>секвенирование нового поколения</kwd><kwd>технологии</kwd><kwd>лейкозы</kwd><kwd>генные мутации</kwd><kwd>биоинформатика</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">1. Смирнихина С.А., Лавров А.В., Адильгереева Э.П. и др. Клиническое значение полноэкзомных исследований миелоидных опухолей методом секвенирования следующего поколения. Клиническая онкогематология 2013;6(1):11–9. [Smirnikhina S.A., Lavrov A.V., Adil’gireeva E.P. et al. Clinical significance of whole-exome studies using next generation sequencing in myeloid neoplasia. Klinicheskaya onkogematologiya = Clinical Oncohematology 2013;6(1):11–9 (In Russ.)].</mixed-citation><mixed-citation xml:lang="ru">Смирнихина С.А., Лавров А.В., Адильгереева Э.П. и др. Клиническое значение полноэкзомных исследований миелоидных опухолей методом секвенирования следующего поколения. Клиническая онкогематология 2013;6(1):11–9. [Smirnikhina S.A., Lavrov A.V., Adil’gireeva E.P. et al. Clinical significance of whole-exome studies using next generation sequencing in myeloid neoplasia. Klinicheskaya onkogematologiya = Clinical Oncohematology 2013;6(1):11–9 (In Russ.)].</mixed-citation></citation-alternatives></ref><ref id="B2"><label>2.</label><citation-alternatives><mixed-citation xml:lang="en">2. Ross J.S., Cronin M. Whole cancer genome sequencing by next-generation methods. Am J Clin Pathol 2011;136(4):527–39. DOI: 10.1309/AJCPR1SVT1VHUGXW. PMID: 21917674.</mixed-citation><mixed-citation xml:lang="ru">Ross J.S., Cronin M. Whole cancer genome sequencing by next-generation methods. Am J Clin Pathol 2011;136(4):527–39. DOI: 10.1309/AJCPR1SVT1VHUGXW. PMID: 21917674.</mixed-citation></citation-alternatives></ref><ref id="B3"><label>3.</label><citation-alternatives><mixed-citation xml:lang="en">3. Gullapalli R.R., Desai K.V., Santana- Santos L. et al. Next generation sequencing in clinical medicine: Challenges and lessons for pathology and biomedical informatics. J Pathol Inform 2012;3:40. DOI: 10.4103/2153-3539.103013. PMID: 23248761.</mixed-citation><mixed-citation xml:lang="ru">Gullapalli R.R., Desai K.V., Santana- Santos L. et al. Next generation sequencing in clinical medicine: Challenges and lessons for pathology and biomedical informatics. J Pathol Inform 2012;3:40. DOI: 10.4103/2153-3539.103013. PMID: 23248761.</mixed-citation></citation-alternatives></ref><ref id="B4"><label>4.</label><citation-alternatives><mixed-citation xml:lang="en">4. Papaemmanuil E., Gerstung M., Bullinger L. et al. Genomic classification and prognosis in acute myeloid leukemia. N Engl J Med 2016;374(23):2209–21. DOI: 10.1056/NEJMoa1516192. PMID: 27276561.</mixed-citation><mixed-citation xml:lang="ru">Papaemmanuil E., Gerstung M., Bullinger L. et al. Genomic classification and prognosis in acute myeloid leukemia. N Engl J Med 2016;374(23):2209–21. DOI: 10.1056/NEJMoa1516192. PMID: 27276561.</mixed-citation></citation-alternatives></ref><ref id="B5"><label>5.</label><citation-alternatives><mixed-citation xml:lang="en">5. Au C.H., Wa A., Ho D.N. et al. Clinical evaluation of panel testing by next-generation sequencing (NGS) for gene mutations in myeloid neoplasms. Diagn Pathol 2016;11:11. DOI: 10.1186/s13000-016-0456-8. PMID: 26796102.</mixed-citation><mixed-citation xml:lang="ru">Au C.H., Wa A., Ho D.N. et al. Clinical evaluation of panel testing by next-generation sequencing (NGS) for gene mutations in myeloid neoplasms. Diagn Pathol 2016;11:11. DOI: 10.1186/s13000-016-0456-8. PMID: 26796102.</mixed-citation></citation-alternatives></ref><ref id="B6"><label>6.</label><citation-alternatives><mixed-citation xml:lang="en">6. Grossmann V., Kohlmann A., Klein H.U. et al. Targeted next-generation sequencing detects point mutations, insertions, deletions and balanced chromosomal rearrangements as well as identifies novel leukemia-specific fusion genes in a single procedure. Leukemia 2011;25(4):671–80. DOI: 10.1038/leu.2010.309. PMID: 21252984.</mixed-citation><mixed-citation xml:lang="ru">Grossmann V., Kohlmann A., Klein H.U. et al. Targeted next-generation sequencing detects point mutations, insertions, deletions and balanced chromosomal rearrangements as well as identifies novel leukemia-specific fusion genes in a single procedure. Leukemia 2011;25(4):671–80. DOI: 10.1038/leu.2010.309. PMID: 21252984.</mixed-citation></citation-alternatives></ref><ref id="B7"><label>7.</label><citation-alternatives><mixed-citation xml:lang="en">7. Gaidzik V.I., Bullinger L., Schlenk R.F. et al. RUNX1 mutations in acute myeloid leukemia: results from a comprehensive genetic and clinical analysis from the AML study group. J Clin Oncol 2011;29(10):1364–72. DOI: 10.1200/JCO.2010.30.7926. PMID: 21343560.</mixed-citation><mixed-citation xml:lang="ru">Gaidzik V.I., Bullinger L., Schlenk R.F. et al. RUNX1 mutations in acute myeloid leukemia: results from a comprehensive genetic and clinical analysis from the AML study group. J Clin Oncol 2011;29(10):1364–72. DOI: 10.1200/JCO.2010.30.7926. PMID: 21343560.</mixed-citation></citation-alternatives></ref><ref id="B8"><label>8.</label><citation-alternatives><mixed-citation xml:lang="en">8. Delic S., Rose D., Kern W. et al. Application of an NGS-based 28-gene panel in myeloproliferative neoplasms reveals distinct mutation patterns in essential thrombocythaemia, primary myelofibrosis and polycythaemia vera. Br J Haematol 2016;175(3):419–26. DOI: 10.1111/bjh.14269. PMID: 27447873.</mixed-citation><mixed-citation xml:lang="ru">Delic S., Rose D., Kern W. et al. Application of an NGS-based 28-gene panel in myeloproliferative neoplasms reveals distinct mutation patterns in essential thrombocythaemia, primary myelofibrosis and polycythaemia vera. Br J Haematol 2016;175(3):419–26. DOI: 10.1111/bjh.14269. PMID: 27447873.</mixed-citation></citation-alternatives></ref><ref id="B9"><label>9.</label><citation-alternatives><mixed-citation xml:lang="en">9. Yeh C.H., Bai X.T., Moles R. et al. Mutation of epigenetic regulators TET2 and MLL3 in patients with HTLV-I-induced acute adult T-cell leukemia. Mol Cancer 2016;15(1):15. DOI: 10.1186/s12943-016-0500-z. PMID: 26880370.</mixed-citation><mixed-citation xml:lang="ru">Yeh C.H., Bai X.T., Moles R. et al. Mutation of epigenetic regulators TET2 and MLL3 in patients with HTLV-I-induced acute adult T-cell leukemia. Mol Cancer 2016;15(1):15. DOI: 10.1186/s12943-016-0500-z. PMID: 26880370.</mixed-citation></citation-alternatives></ref><ref id="B10"><label>10.</label><citation-alternatives><mixed-citation xml:lang="en">10. Debarri H., Lebon D., Roumier C. et al. IDH1/2 but not DNMT3A mutations are suitable targets for minimal residual disease monitoring in acute myeloid leukemia patients: a study by the Acute Leukemia French Association. Oncotarget 2015;6(39):42345–53. DOI: 10.18632/oncotarget.5645. PMID: 26486081.</mixed-citation><mixed-citation xml:lang="ru">Debarri H., Lebon D., Roumier C. et al. IDH1/2 but not DNMT3A mutations are suitable targets for minimal residual disease monitoring in acute myeloid leukemia patients: a study by the Acute Leukemia French Association. Oncotarget 2015;6(39):42345–53. DOI: 10.18632/oncotarget.5645. PMID: 26486081.</mixed-citation></citation-alternatives></ref><ref id="B11"><label>11.</label><citation-alternatives><mixed-citation xml:lang="en">11. Северина Н.А., Бидерман Б.В., Никитин Е.А., Судариков А.Б. Мутации генов при хроническом лимфолейкозе: новые аспекты патогенеза, открытые с помощью технологий полногеномного секвенирования. Гематология и трансфузиология 2014;59(3):41–8. [Severina N.A., Biderman B.V., Nikitin E.A., Sudarikov A.B. Gene mutations in chronic lymphocytic leukemia: new aspects of pathogenesis discovered by next generation sequencing. Gematologiya i transfuziologiya = Hematology and Transfusiology 2014;59(3):41–8. (In Russ.)].</mixed-citation><mixed-citation xml:lang="ru">Северина Н.А., Бидерман Б.В., Никитин Е.А., Судариков А.Б. Мутации генов при хроническом лимфолейкозе: новые аспекты патогенеза, открытые с помощью технологий полногеномного секвенирования. Гематология и трансфузиология 2014;59(3):41–8. [Severina N.A., Biderman B.V., Nikitin E.A., Sudarikov A.B. Gene mutations in chronic lymphocytic leukemia: new aspects of pathogenesis discovered by next generation sequencing. Gematologiya i transfuziologiya = Hematology and Transfusiology 2014;59(3):41–8. (In Russ.)].</mixed-citation></citation-alternatives></ref><ref id="B12"><label>12.</label><citation-alternatives><mixed-citation xml:lang="en">12. Vollbrecht C., Mairinger F.D., Koitzsch U. et al. Comprehensive analysis of disease-related genes in chronic lymphocytic leukemia by multiplex PCR-based next generation sequencing. PLoS One 2015;10(6):e0129544. DOI: 10.1371/journal.pone.0129544. PMID: 26053404.</mixed-citation><mixed-citation xml:lang="ru">Vollbrecht C., Mairinger F.D., Koitzsch U. et al. Comprehensive analysis of disease-related genes in chronic lymphocytic leukemia by multiplex PCR-based next generation sequencing. PLoS One 2015;10(6):e0129544. DOI: 10.1371/journal.pone.0129544. PMID: 26053404.</mixed-citation></citation-alternatives></ref><ref id="B13"><label>13.</label><citation-alternatives><mixed-citation xml:lang="en">13. Rossi D., Khiabanian H., Spina V. et al. Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia. Blood 2014;123(14):2139–47. DOI: 10.1182/blood-2013-11-539726. PMID: 24501221.</mixed-citation><mixed-citation xml:lang="ru">Rossi D., Khiabanian H., Spina V. et al. Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia. Blood 2014;123(14):2139–47. DOI: 10.1182/blood-2013-11-539726. PMID: 24501221.</mixed-citation></citation-alternatives></ref><ref id="B14"><label>14.</label><citation-alternatives><mixed-citation xml:lang="en">14. Malcikova J., Stano-Kozubik K., Tichy B. et al. Detailed analysis of therapy-driven clonal evolution of TP53 mutations in chronic lymphocytic leukemia. Leukemia 2015; 29(4):877–85. DOI: 10.1038/leu.2014.297. PMID: 25287991.</mixed-citation><mixed-citation xml:lang="ru">Malcikova J., Stano-Kozubik K., Tichy B. et al. Detailed analysis of therapy-driven clonal evolution of TP53 mutations in chronic lymphocytic leukemia. Leukemia 2015; 29(4):877–85. DOI: 10.1038/leu.2014.297. PMID: 25287991.</mixed-citation></citation-alternatives></ref><ref id="B15"><label>15.</label><citation-alternatives><mixed-citation xml:lang="en">15. Landau D.A., Tausch E., Taylor-Weiner A.N. et al. Mutations driving CLL and their evolution in progression and relapse. Nature 2015;526(7574):525–30. DOI: 10.1038/nature15395. PMID: 26466571.</mixed-citation><mixed-citation xml:lang="ru">Landau D.A., Tausch E., Taylor-Weiner A.N. et al. Mutations driving CLL and their evolution in progression and relapse. Nature 2015;526(7574):525–30. DOI: 10.1038/nature15395. PMID: 26466571.</mixed-citation></citation-alternatives></ref><ref id="B16"><label>16.</label><citation-alternatives><mixed-citation xml:lang="en">16. Lundberg P., Karow A., Nienhold R. et al. Clonal evolution and clinical correlates of somatic mutations in myeloproliferative neoplasms. Blood 2014;123(14):2220–8. DOI: 10.1182/blood-2013-11-537167. PMID: 24478400.</mixed-citation><mixed-citation xml:lang="ru">Lundberg P., Karow A., Nienhold R. et al. Clonal evolution and clinical correlates of somatic mutations in myeloproliferative neoplasms. Blood 2014;123(14):2220–8. DOI: 10.1182/blood-2013-11-537167. PMID: 24478400.</mixed-citation></citation-alternatives></ref><ref id="B17"><label>17.</label><citation-alternatives><mixed-citation xml:lang="en">17. Soverini S., De Benedittis C., Polakova K.M. et al. Next-generation sequencing for sensitive detection of BCR-ABL1 mutations relevant to tyrosine kinase inhibitor choice in imatinib-resistant patients. Oncotarget 2016;7(16):21982–90. DOI: 10.18632/oncotarget.8010. PMID: 26980736.</mixed-citation><mixed-citation xml:lang="ru">Soverini S., De Benedittis C., Polakova K.M. et al. Next-generation sequencing for sensitive detection of BCR-ABL1 mutations relevant to tyrosine kinase inhibitor choice in imatinib-resistant patients. Oncotarget 2016;7(16):21982–90. DOI: 10.18632/oncotarget.8010. PMID: 26980736.</mixed-citation></citation-alternatives></ref><ref id="B18"><label>18.</label><citation-alternatives><mixed-citation xml:lang="en">18. Van der Auwera G.A., Carneiro M.O., Hartl C. et al. From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinformatics 2013;43:11.10.1–33. DOI: 10.1002/0471250953.bi1110s43. PMID: 25431634.</mixed-citation><mixed-citation xml:lang="ru">Van der Auwera G.A., Carneiro M.O., Hartl C. et al. From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinformatics 2013;43:11.10.1–33. DOI: 10.1002/0471250953.bi1110s43. PMID: 25431634.</mixed-citation></citation-alternatives></ref><ref id="B19"><label>19.</label><citation-alternatives><mixed-citation xml:lang="en">19. Liu X., Han S., Wang Z. et al. Variant callers for next-generation sequencing data: a comparison study. PLoS One 2013;8(9):e75619. DOI: 10.1371/journal.pone.0075619. PMID: 24086590.</mixed-citation><mixed-citation xml:lang="ru">Liu X., Han S., Wang Z. et al. Variant callers for next-generation sequencing data: a comparison study. PLoS One 2013;8(9):e75619. DOI: 10.1371/journal.pone.0075619. PMID: 24086590.</mixed-citation></citation-alternatives></ref><ref id="B20"><label>20.</label><citation-alternatives><mixed-citation xml:lang="en">20. Pabinger S., Dander A., Fischer M. et al. A survey of tools for variant analysis of next-generation genome sequencing data. Brief Bioinform 2014;15(2):256–78. DOI: 10.1093/bib/bbs086. PMID: 23341494.</mixed-citation><mixed-citation xml:lang="ru">Pabinger S., Dander A., Fischer M. et al. A survey of tools for variant analysis of next-generation genome sequencing data. Brief Bioinform 2014;15(2):256–78. DOI: 10.1093/bib/bbs086. PMID: 23341494.</mixed-citation></citation-alternatives></ref><ref id="B21"><label>21.</label><citation-alternatives><mixed-citation xml:lang="en">21. Crowgey E.L., Stabley D.L., Chen C. et al. An integrated approach for analyzing clinical genomic variant data from nextgeneration sequencing. J Biomol Tech 2015;26(1):19–28. DOI: 10.7171/jbt.15-2601-002. PMID: 25649353.</mixed-citation><mixed-citation xml:lang="ru">Crowgey E.L., Stabley D.L., Chen C. et al. An integrated approach for analyzing clinical genomic variant data from nextgeneration sequencing. J Biomol Tech 2015;26(1):19–28. DOI: 10.7171/jbt.15-2601-002. PMID: 25649353.</mixed-citation></citation-alternatives></ref><ref id="B22"><label>22.</label><citation-alternatives><mixed-citation xml:lang="en">22. D’Antonio M., D’Onorio De Meo P., Paoletti D et al. WEP: a high-performance analysis pipeline for whole-exome data. BMC Bioinformatics 2013;14 Suppl 7:S11. DOI: 10.1186/1471-2105-14-S7-S11. PMID: 23815231.</mixed-citation><mixed-citation xml:lang="ru">D’Antonio M., D’Onorio De Meo P., Paoletti D et al. WEP: a high-performance analysis pipeline for whole-exome data. BMC Bioinformatics 2013;14 Suppl 7:S11. DOI: 10.1186/1471-2105-14-S7-S11. PMID: 23815231.</mixed-citation></citation-alternatives></ref><ref id="B23"><label>23.</label><citation-alternatives><mixed-citation xml:lang="en">23. Münz M., Ruark E., Renwick A. et al. CSN and CAVA: variant annotation tools for rapid, robust next-generation sequencing analysis in the clinical setting. Genome Med 2015;7:76. DOI: 10.1186/s13073-015-0195-6. PMID: 26315209.</mixed-citation><mixed-citation xml:lang="ru">Münz M., Ruark E., Renwick A. et al. CSN and CAVA: variant annotation tools for rapid, robust next-generation sequencing analysis in the clinical setting. Genome Med 2015;7:76. DOI: 10.1186/s13073-015-0195-6. PMID: 26315209.</mixed-citation></citation-alternatives></ref><ref id="B24"><label>24.</label><citation-alternatives><mixed-citation xml:lang="en">24. Backert L., Kohlbacher O. Immunoinformatics and epitope prediction in the age of genomic medicine. Genome Med 2015;7:119. DOI: 10.1186/s13073-015-0245-0. PMID: 26589500.</mixed-citation><mixed-citation xml:lang="ru">Backert L., Kohlbacher O. Immunoinformatics and epitope prediction in the age of genomic medicine. Genome Med 2015;7:119. DOI: 10.1186/s13073-015-0245-0. PMID: 26589500.</mixed-citation></citation-alternatives></ref></ref-list></back></article>
