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Summer school within the framework of the conference “Information technologies for personalized medicine”
Summer School for Biomedical Data Analysis
July 6 - 19, 2022
Offline, Dolgoprudny, MIPT
This event is held within the framework of the Grant of the Ministry of Science and Higher Education of the Russian Federation "Program for the creation and development of the "National Center for Personalized Medicine of Endocrine Diseases" (Agreement No. 075-15-2020-899) for 2020-2025"
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In case of complications with the epidemiological situation, it is possible to conduct schooling online
About the summer school
The summer school will give you the opportunity to acquire biomedical data processing skills and consists of three parts: introductory, theoretical and practical.

In the introductory part, participants will receive the necessary skills for work: the basics of molecular biology, basic Python programming skills and command-line work. In theory, they will choose one of two directions devoted to different areas of bioinformatic data analysis: virology or medical genetics, and learn how to analyze biomedical data according to generally recognized standards. In the final of the summer school, participants will have practical work and feedback on its results from teachers.
Registration
*participation in the summer school is free
To send an application for participation, use the form. Each application will be reviewed by the organizing committee of the summer school.
Apply for participation* in the summer school before June 1!

Register for summer school
Lecturers

Eugene Albert, PhD

Employee of the Laboratory of Genomic Engineering of the Moscow Institute of Physics and Technology.

Area of scientific activity: medical genetics.

Andrey Devyatkin, PhD

Bioinformatics FGHU "NMIC Endocrinology" of the Ministry of Health of the Russian Federation, Researcher at the Laboratory of Genomic Engineering at the Moscow Institute of Physics and Technology, Lecturer at the Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University M.V. Lomonosov.

Areas of scientific activity: virology, evolutionary biology, molecular diagnostics, molecular epidemiology.

Gennady Fedonin

Employee of the Central Research Institute of Epidemiology of Rospotrebnadzor, the Laboratory of Genomic Engineering of the Moscow Institute of Physics and Technology, IPPI RAS.

Alisa Muravieva

Bioinformatician of the group of medical and population genomics of the Federal State Budgetary Institution National Research Center for Endocrinology of the Ministry of Health of the Russian Federation.

Anna Petukhova

Bioinformatician of the group of medical and population genomics of the laboratory of bioinformatics of the NCMU ERC.

Area of scientific activity: analysis of NGS data in medical genetics.

Sergey Isaev

Junior researcher in the functional transcriptomics group of the National Center for Personalized Medicine of Endocrine Diseases.

Direction of scientific activity: analysis of omics data of single cells.

Denis Maksimov
Bioinformatician, employee of the Laboratory of Genomic Engineering of the Moscow Institute of Physics and Technology.

Area of scientific activity: analysis of single cell data.

Alexandra Greshnova

Student of the Erasmus Mundus Master Program in Evolutionary Biology; Intern at the Institut des Sciences de l'Évolution de Montpellier, Team Experimental Evolution of Communities.

Alexandra Abisheva

Employee of the group for medical and population genomics of the Bioinformatics Laboratory of the National Center for Personalized Medicine of Endocrine Diseases, Federal State Budgetary Institution National Research Center for Endocrinology, Ministry of Health of the Russian Federation
*participation in the summer school is free
Register for Summer school
To send an application for participation, use the form. Each application will be reviewed by the organizing committee of the summer school.
Partners
Register for conference
А conference on Information Technologies for Personalized Medicine
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Locations
Биологи

  • Работа в командной строке
  • Программирование на языке Python и, опционально, на R
НЕ Биологи

  • Основы клеточной биологии
  • Основы мол.биологии (транскрипция, трансляция, репликация, регуляция экспрессии генов, эпигенетика, сплайсинг)
  • Основы генетики
  • Молекулярно-биологические методы
  • Методы секвенирования
  • Базы данных хранения нуклеотидных последовательностей. Форматы - NCBI, genbank, fasta, fastq
ТРЕК 1
Основы филогенетического анализа

  • Базы данных хранения нуклеотидных последовательностей. Форматы данных. NCBI, genbank, fasta
  • Обработка данных высокопроизводительного секвенирования. Формат данных fastq. Контроль качества. Тримминг. Программы Fastqc и Trimmomatic. Коллинг. Квазивиды.
  • Выравнивание нуклеотидных последовательностей.
  • Построение филогенетических деревьев.
  • Байесовские методы филогенетического анализа.
ТРЕК 2
Анализ данных NGS

  • Формат данных fastq. Контроль качества. Тримминг. Программы Fastqc и Trimmomatic
  • Выравнивание последовательностей. Референсный геном. Форматы sam и bam. Программы bwa-mem2 и samtools
  • Опциональное - bqsr, mark duplicates, left align indels
  • Коллинг вариантов. Форматы vcf и gvcf. Программа haplotype caller (как пример)
  • Опциональное - когортный коллинг, соматический коллинг, коллинг структурных вариантов. Чем отличается геномное секвенирование от экзомного.
  • *RNA-seq
  • *Single cell
FAQ
Cколько стоит участие в школе?
Участие в школе бесплатное
Good Support
Our managers are always ready to answer your questions. You can call us during the weekends and at night. Also, you can visit our office for a personal consultation.
Individual Approach
Our company works according to the principle of individual approach to every client. This method allows us to succeed in tasks of any level.