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DTSTAMP:20260711T072730Z
UID:a21ce56f-294a-4a16-a16c-fdf0d8e41081
DTSTART:20181210T080000Z
DTEND:20181212T160000Z
DESCRIPTION:Description:\nThis course focuses on the development and execut
 ion of bioinformatics pipelines and on their optimization with regards to 
 computing time and disk space. In an era where the data produced per-analy
 sis is in the order of terabytes\, simple serial bioinformatic pipelines a
 re no longer feasible. Hence the need for scalable\, high-performance para
 llelization and analysis tools which can easily cope with large-scale data
 sets. To this end we will study the common performance bottlenecks emergin
 g from everyday bioinformatic pipelines and see how to strike down the exe
 cution times for effective data analysis on current and future supercomput
 ers.\nAs a case study\, two different bioinformatics pipelines (whole-exom
 e and transcriptome analysis) will be presented and re-implemented on the 
 supercomputers of Cineca thanks to ad-hoc hands-on sessions aimed at apply
 ing the concepts explained in the course.\n\nSkills:\nBy the end of the co
 urse each student should be able to:\n\n\n    Manage the transfer of big d
 ata files and/or large number of files from the local computer to the Cine
 ca platforms and vice versa\n    Prepare the environment to analyse big am
 ount of biological data on a supercomputer\n    Run single parallel bioinf
 ormatic programs on a supercomputer\n    Combine bioinformatics applicatio
 ns into pipelines on a supercomputer\n    Target audience:\n    Biologists
 \, bioinformaticians and computer scientists interested in approaching lar
 ge-scale NGS-data analysis for the first time.\n\n\nPre-requisites:\nBasic
  knowledge of python and shell command line. A very basic knowledge of bio
 logy is recommended but not required.\n\nGrant\nThe course is FREE of char
 ge.\nThe lunch for the three days will be offered to all the participants 
 and some grants are available. The only requirement to be eligible is to b
 e not funded by your institution to attend the course and to work or live 
 in an institute outside the Roma area. The grant  will be 300 euros for s
 tudents working and living outside Italy and 150 euros for students workin
 g and living in Italy (except Rome area). Some documentation will be requi
 red and the grant will be paid only after a certified presence of minimum 
 80% of the lectures.\n\nFurther information about how to request the grant
 \, will be provided at the confirmation of the course: about 3 weeks befor
 e the starting date.\nhttps://events.prace-ri.eu/event/791/
SUMMARY:High Performance Bioinformatics@CINECA
URL;VALUE=URI:https://events.prace-ri.eu/event/791/
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