BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Performance and scalability evaluation of short fragment sequence 
 alignment applications
DTSTART;VALUE=DATE-TIME:20121017T153000Z
DTEND;VALUE=DATE-TIME:20121017T160000Z
DTSTAMP;VALUE=DATE-TIME:20261011T142821Z
UID:indico-contribution-194@indico.ipb.ac.rs
DESCRIPTION:Speakers: Gergely Windisch (Obuda University - Hungary)\nMappi
 ng short fragments to open access eukaryotic genomes at a very large scale
  presents a data processing challenge to the scientific world. The large v
 olume of data processing requires an immense amount of computing power for
  the tools to provide feasible response time\, which is essential for the 
 researchers. The main tool used for such an application is BLAST which is 
 the one we use in our portlets developed at Obuda University. There are wa
 ys for the scientists to use the BLAST algorithm either executing it local
 ly or using a web based BLAST tool. Usually the scope of usability of thes
 e solutions is limited because of the lack of computing power available. T
 he portlets developed at Obuda University are served by a web server but c
 omputation takes place in a massively parallel supercomputing environment.
  The type of the algorithm and the data it has to process make it an ideal
  candidate for a highly parallel execution on the HPSEE infrastructure. Th
 e portlets are available to the scientist community on the Bioinformatics 
 eScience Gateway hosted at OU and powered by gUSE/WS-PGRADE technology\, w
 hile the backend is being served by the Hungarian HPSEE Infrastructure by 
 NIIF. \nLately most of our work has been focused on evaluating the perform
 ance and scalability of our applications by profiling\, analyzing the resu
 lts of the tests and improving the performance of both the portlets and th
 e server-side massively parallel algorithm by environment optimization usi
 ng the data collected during the testing phase. \nIn this paper we will de
 scribe the two portlets (Deep Aligner and Disease Gene Mapper)\, discuss t
 he issues and challenges during the development and the performance analys
 is and present our results on the performance and scalability of the appli
 cations.\n\nhttps://events.saifa.rs/event/291/contributions/194/
LOCATION:National Library of Serbia
URL:https://events.saifa.rs/event/291/contributions/194/
END:VEVENT
END:VCALENDAR