BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260716T082537Z
UID:73a5efb0-45b1-44e4-aee9-10a1d1e54e7c
DTSTART:20211201T080000Z
DTEND:20211203T150000Z
DESCRIPTION:We live in a big-data era and simple serial bioinformatic pipel
 ines can’t efficiently handle huge input datasets. Hence\, High Performa
 nce Computing (HPC) can represent a good solution for researchers who need
  to analyze and address new biological questions with their data.  \n\nTh
 is course is both theoretical and practical and is addressed to bioinforma
 ticians who want to scale up their analysis on a cluster machine. It mainl
 y focuses on the development and execution of automated data analysis pipe
 lines. \n\nOn the first day\, students will become confident with a cluste
 r machine (e.g. hardware\, software\, module environment\, data storage) a
 nd will learn how to submit a single batch scripts via the SLURM scheduler
 .\n\nOn the second day\, partecipants will be introduced to the world of N
 ext Generation Sequencing (NGS) and will learn how to build a fully automa
 ted RNA-seq pipeline able to handle large input datasets\, focusing on job
  concatenations and HPC request resource optimization.\n\nOn the last day 
 students will be introduced to cloud computing and to the world of snakema
 ke\, a python workflow management system tool able to create reproducible
  and scalable data analyses\, with particular attention to scaling workf
 lows on cluster and cloud without modifyng the workflow definition.\n\nAd-
 hoc hands-on sessions\, aimed at applying the concepts explained during th
 e course\, will be held every afternoon.\n\nSkills:\n\nBy the end of the c
 ourse each student should be able to:\n\n- Know all the conventions and op
 portunities offered by CINECA for accessing HPC resources\;\n\n- Download 
 datasets from public repositories and/or transfer input files from the use
 r’s local computer to the CINECA clusters\;\n- Navigate through the soft
 ware environment set up by CINECA\;\n- Run single-step jobs on a supercomp
 uter via SLURM scheduler\;\n- Combine several bioinformatics applications 
 into a fully automated pipeline able to run on a supercomputer\;\n\n- Lear
 n how to iterate through samples in order to manage huge input datasets\;\
 n- Have an overview of how to take advantage of snakemake to build a porta
 ble\, scalable and fully automated pipeline.\n\nTarget audience:\n\nBiolog
 ists\, bioinformaticians and computer scientists interested in approaching
  large-scale NGS-data analysis.\n\nCourse prerequisites:\n\nGood knowledge
  of python and shell command line. \n\nA very basic knowledge of R and bio
 logy is recommended but not strictly required.\nhttps://events.prace-ri.eu
 /event/1262/
SUMMARY:[ONLINE] High Performance Bioinformatics@CINECA
URL;VALUE=URI:https://events.prace-ri.eu/event/1262/
END:VEVENT
END:VCALENDAR