During the course participants will become familiar with Agile and project management and software development practices and tools useful in bioinformatics. Every day will be composed of half-day of lectures followed by half-day of practical exercises.
Lectures Scope
Introduction
Introduction to cancer research
Precision medicine and technology transfer in Life Science
Agile and project management
Agile in Life Science
Product development
Product-market fit
Data Science in Life Science
AI in Life Science
Modern Data Science
Science meets business – projects showcase
Software Engineering in Life Science
Git and project management
Design patterns
Python tools for Life Science
Data management
Testing and Quality Assurance
Cloud computing
Reproducible pipeline design in Nextflow
Audience
This course is aimed at motivated BSc students and young researchers from academic Institutions with a background in Mathematics, Statistics, Computing, and/or Biology who are involved in bioinformatics and genome analyses projects. This course is intense; therefore active participation is expected from the students.
Accommodation and meals are not included.
Please note that places are limited and will be allocated on a first come first served basis.
April 1, 2019
AACR POSTER Predicting immunogenic neoepitopes with biology-aware machine learning
