Autors: Borovska, P. I., Marinova, M. P.
Title: Quality of solution of massively parallel MSA based on metaheuristic social behavioral model
Keywords: Quality of Solution (QoS) of the parallel algorithm MSA_BG, multiple alignment, GPU computing, SARS-CoV-2

Abstract: Due to their importance for computational biology, the methods and algorithms for multiple alignment of biological sequences have been the subject of continuous intensive research and innovation in the last 30 years. Within a PRACE research project we have designed and implemented metaheuristic algorithm for massively parallel MSA and based on it parallel software tool MSA_BG that has been ported on the European supercomputer Juqueen. In this paper we have investigated the Quality of Solution (QoS) of the parallel algorithm MSA_BG for multiple alignment of biological sequences on GPU-accelerated computing infrastructure based on 3 synthesized benchmarks of genetic sequences comprising the 8 segments of the swine virus AH1N1, the 9 genes of the severe acute respiratory syndrome coronavirus 2 isolate SARS-CoV-2/human as well as the human genes BRCA1 and BRCA2 associated with the breast cancer issue.



    AIP Conference Proceedings,2333, pp. 030005, 2021, Bulgaria, AIP Conference Proceedings, 2333,

    Вид: постер/презентация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus