Introduction to Discovery Studio protein modeling program,
In this course we teach various ways to optimise and parallelise Python programs. Among the topics are performance analysis, efficient use of NumPy arrays, extending Python with more efficient languages (Cython), and parallel computing with message passing (mpi4py) approach.
Analyzing vector and raster data with R and its spatial packages.
This two day course will cover the very basics of Unix/Linux. No previous knowledge about these operating systems is expected, as the course serves as an introduction to those who are completely new to Linux. Both days include hands-on exercises.
CSC provides several alternative platforms for doing bioscience related computing. This course provides overview of these services so that after the course the students know how to choose a right platform combination for their analysis. No previous knowledge is required - the course is suitable for everybody!
This introductory course covers single cell RNA-seq data analysis methods, tools and file formats. The free and user-friendly Chipster software is used in the exercises, and the course is thus suitable for everybody.
This event provides a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment to the essential ingredients for molecular modeling and computational chemistry using modern supercomputers. Standard approaches such as classical and ab initio molecular dynamics, electronic structure models as well as several more special topics are explained and exemplified by prominent researchers in the field.
Proteomics is a systems biology approach to study the entire protein complement of a cell, tissue, or organism. This large-scale study of proteins is increasingly popular in post genomics era and has found its widespread applications in fields including drug discovery, cardiovascular research, and nutrition research, just to name a few. This course will provide both theoretical and practical training at the introductory level. Participants will learn the principles of current methodologies and apply bioinformatics tools for data analysis.
CSC Summer School celebrates its 10th anniversary by bringing together undergraduate and graduate students and postdoctoral researchers in different disciplines of scientific computing. The contents consist of lectures and hands-on training on parallel programming, code optimization and other necessary skills in development of scientific software.