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bioweek 2018 taito slurm

Bioweek: Computing intensive bioinformatics analysis on Taito
Date: 07.02.2018 9:00 - 07.02.2018 17:00
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: english-language
lecturers: Kimmo Mattila Ari-Matti Saren
  • 60 for-finnish-academics
  • 280 for-others
The fee covers all materials, lunches as well as morning and afternoon coffees.
The seats are filled in the registration order. If a cancellation is received five (5) business days prior to the course, the course fee will be refunded with the exception of a handling fee of 10 €. For no-shows and cancellations after the cut of date no refunds will be made. Registration can be transferred to someone else from the same organization without additional charge.

Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Additional Information

The Taito supercluster environment provides a good platform for running computing intensive bioinformatics analysis. However, to be able to utilize Taito effectively, you must understand how the batch job system works in Taito.

This course day provides overview to the SLURM batch job system that is in use in Taito. The issues discussed include: - building, submitting and managing batch jobs - using parallel computing (threads, MPI and data paralleization) - using batch job with own software installation.

The participants are expected to know basics of using linux in command line.



…is a weeks worth of courses assembled especially with bioscientists in mind. Participate in all of them, or just pick the ones you find most interesting!

5.2. Introduction to base R

6.2. Data visualisation using RStudio and ggplot 

7.2. Computing intensive bioinformatics analysis on Taito  

8.2. Using cPouta cloud in bioinformatics 

9.2. Single cell RNA-seq data analysis using Chipster 

Course materials