6.9. - 8.9.

Introduction to C programming

September 2017

C is one of the most widely used programming languages of all time and it is still popular in many applications areas including high performance computing. This course will give the participants the basic knowledge on C programming language and its utilization in scientific applications.

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Courses and workshops
Programming
2017
c programming
13.9. - 15.9.

Variant analysis with GATK

September 2017

This workshop will focus on the core steps involved in calling variants with the Broad's Genome Analysis Toolkit, using the "Best Practices" developed by the GATK team. You will learn why each step is essential to the variant discovery process, what are the operations performed on the data at each step, and how to use the GATK tools to get the most accurate and reliable results out of your dataset.

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Courses and workshops
Methods & Software
2017
bioinformatics tess
20.9. - 21.9.

NordForum - Free Flow of Information in Education

September 2017

Nordforum is an informal collaboration initiative between organizations dealing with Student Information Systems in the four Nordic countries. In Nordforum seminar "Free Flow of Information in Education", September 20-21, 2017, we will discuss exciting, current topics relating to free flow of information and gain synergies and new insights by benchmarking with our Nordic neighbours.

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Seminars and conferences
Data Networks
Data & Storage
Methods & Software
2017
21.9. - 22.9.

Fortran Programming for Scientific Computing

September 2017

The Fortran programming language is still - despite of its long history - one of the standard and most useful languages in scientific computing. Our course will give the participants the basic knowledge on the Fortran 95 programming language as well as some glimpses on the Fortran 2003/2008 standards and their new features.

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Courses and workshops
Programming
2017
fortran
28.9. - 29.9.

Single cell RNA-seq data analysis

September 2017

This hands-on course introduces the participants to single-cell RNA-seq data analysis concepts and tools. It consists of two alternative days, please select based on your computational background EITHER 1) 28.9 Single cell RNA-seq data analysis with R (previous experience with R required), OR 2) 29.9 Single cell RNA-seq data analysis with Chipster (suitable for everybody)

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Courses and workshops
Methods & Software
2017
bioinformatics chipster rna-seq tess
2.10. - 3.10.

Geocomputing using CSC resources

October 2017

How to use CSC computing resources for spatial analysis.

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Computing Platforms
Courses and workshops
Methods & Software
High-Performance Computing
2017
python r taito pouta gis spatial data analysis