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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

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URIhttp://purl.tuc.gr/dl/dias/767B668B-2A29-4F3B-BD7E-E0E324BDE0B9-
Identifierhttps://doi.org/10.1145/3364225-
Identifierhttps://dl.acm.org/doi/abs/10.1145/3364225-
Languageen-
Extent30 pagesen
TitleRAiSD-X: a fast and accurate FPGA system for the detection of positive selection in thousands of genomesen
CreatorAlachiotis Nikolaosen
CreatorΑλαχιωτης Νικολαοςel
CreatorVatsolakis Charalabosen
CreatorΒατσολακης Χαραλαμποςel
CreatorChrysos Grigoriosen
CreatorΧρυσος Γρηγοριοςel
CreatorPnevmatikatos Dionysiosen
CreatorΠνευματικατος Διονυσιοςel
PublisherAssociation for Computing Machineryen
Content SummaryDetecting 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
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-04-02-
Date of Publication2019-
SubjectGenomesen
Bibliographic CitationN. 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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