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RAiSD-X: a fast and accurate FPGA system for the detection of positive selection in thousands of genomes

Alachiotis Nikolaos, Vatsolakis Charalabos, Chrysos Grigorios, Pnevmatikatos Dionysios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/767B668B-2A29-4F3B-BD7E-E0E324BDE0B9-
Αναγνωριστικόhttps://doi.org/10.1145/3364225-
Αναγνωριστικόhttps://dl.acm.org/doi/abs/10.1145/3364225-
Γλώσσαen-
Μέγεθος30 pagesen
ΤίτλοςRAiSD-X: a fast and accurate FPGA system for the detection of positive selection in thousands of genomesen
ΔημιουργόςAlachiotis Nikolaosen
ΔημιουργόςΑλαχιωτης Νικολαοςel
ΔημιουργόςVatsolakis Charalabosen
ΔημιουργόςΒατσολακης Χαραλαμποςel
ΔημιουργόςChrysos Grigoriosen
ΔημιουργόςΧρυσος Γρηγοριοςel
ΔημιουργόςPnevmatikatos Dionysiosen
ΔημιουργόςΠνευματικατος Διονυσιοςel
ΕκδότηςAssociation for Computing Machineryen
ΠερίληψηDetecting traces of positive selection in genomes carries theoretical significance and has practical applications from shedding light on the forces that drive adaptive evolution to the design of more effective drug treatments. The size of genomic datasets currently grows at an unprecedented pace, fueled by continuous advances in DNA sequencing technologies, leading to ever-increasing compute and memory requirements for meaningful genomic analyses. Themajority of existing methods for positive selection detection either are not designed to handle whole genomes or scale poorly with the sample size; they inevitably resort to a runtime versus accuracy tradeoff, raising an alarming concern for the feasibility of future large-scale scans. To this end, we present RAiSD-X, a high-performance system that relies on a decoupled access-execute processing paradigm for efficient FPGA acceleration and couples a novel, to our knowledge, sliding-window algorithm for the recently introduced μ statistic with a mutation-driven hashing technique to rapidly detect patterns in the data. RAiSD-X achieves up to three orders of magnitude faster processing than widely used software implementations, and more importantly, it can exhaustively scan thousands of human chromosomes in minutes, yielding a scalable full-system solution for future studies of positive selection in species of flora and fauna.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2020-04-02-
Ημερομηνία Δημοσίευσης2019-
Θεματική ΚατηγορίαGenomesen
Βιβλιογραφική ΑναφοράN. Alachiotis, C. Vatsolakis, G. Chrysos and D. Pnevmatikatos, "RAiSD-X: a fast and accurate FPGA system for the detection of positive selection in thousands of genomes," ACM T. Reconfig. Techn. Syst., vol. 13, no. 1, Dec. 2019. doi: 10.1145/3364225en

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