Построение оптимальных моделей ДНК-сайтов связывания факторов транскрипции высших эукариот на основе данных различных экспериментальных методов тема диссертации и автореферата по ВАК РФ 03.00.28, кандидат физико-математических наук Кулаковский, Иван Владимирович
- Специальность ВАК РФ03.00.28
- Количество страниц 100
Оглавление диссертации кандидат физико-математических наук Кулаковский, Иван Владимирович
Введение.
Актуальность темы.
Цели и задачи исследования.
Научная новизна.
Практическое значение.
Апробация работы.
Рекомендованный список диссертаций по специальности «Биоинформатика», 03.00.28 шифр ВАК
Анализ регуляторных последовательностей и динамики молекулярно-генетической системы, контролирующей G1/S-переход клеточного цикла эукариот2005 год, кандидат биологических наук Дейнеко, Игорь Владимирович
Поиск участков специфического связывания белков-регуляторов транскрипции с ДНК методом Монте-Карло Марковскими цепями2005 год, кандидат физико-математических наук Фаворов, Александр Владимирович
Исследование и моделирование систем управления доступом к гетерогенным информационным ресурсам2001 год, доктор технических наук Максимов, Николай Вениаминович
Компьютерный анализ конформационных и физико-химических особенностей функциональных сайтов геномной ДНК эукариот2010 год, кандидат биологических наук Ощепков, Дмитрий Юрьевич
Комплексный подход к оценке релевантности структурной согласованности2002 год, кандидат технических наук Самохвалов, Роман Викторович
Заключение диссертации по теме «Биоинформатика», Кулаковский, Иван Владимирович
Выводы
1. Разработан метод построения оптимальной модели ССТФ с использованием экспериментальных данных, полученных традиционными экспериментальными методами. Метод реализован в виде вычислительного алгоритма Показано, что при использовании данных ДНК футпринтинга для построения мотивов, распознаваемых ССТФ, необходимо использовать участки генома, прилегающие к картированным футпринтам. Предложен алгоритм, реализующий учет информации, содержащейся в геномных фланках футпринтов, при построении ОБЛВ.
2. Разработан метод построения оптимальной модели ССТФ путем интеграции данных различных экспериментальных методов, включая современные высокопроизводительные техники на базе иммунопреципитации хроматина. Метод реализован в виде вычислительного алгоритма СЫршипк.
3. Создан набор программных средств, реализующих предложенные алгоритмы. Созданные программы позволяют на базе различных вычислительных платформ анализировать данные, полученные с использованием широкого спектра экспериментальных методик. Создан единый вычислительный конвейер, интегрирующий новые алгоритмы и существующие программные инструменты АЬоРго и 8е81МСМС.
4. Создана коллекция мотивов связывания факторов регуляции транскрипции ВгоБорЬИа те1апо^аз1ег, содержащая мотивы, полученные с использованием практически всей экспериментальной информации, представленной в открытых источниках. Показано, что разработанные методы позволяют выявить мотивы связывания, превосходящие по своим характеристикам известные мотивы связывания, для широкого набора белков-регуляторов транскрипции.
5. Разработанные программные средства и построенные коллекции уточненных мотивов доступны в сети Интернет по адресам: http://line.imb .ac.ru/DMMPMM, http://line.imb. ac.ru/iDMMPMM, http://line.imb.ac.ru/Chipmunk.
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