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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI | http://purl.tuc.gr/dl/dias/FDCA1154-A621-4ADD-88FB-E1D2B6AE3120 | - |
| Identifier | https://doi.org/10.1109/BIBE50027.2020.00019 | - |
| Identifier | https://ieeexplore.ieee.org/document/9288130/ | - |
| Language | en | - |
| Extent | 8 pages | en |
| Title | qLD: high-performance computation of linkage disequilibrium on CPU and GPU | en |
| Creator | Theodoris Charalabos | en |
| Creator | Θεοδωρης Χαραλαμπος | el |
| Creator | Alachiotis Nikolaos | en |
| Creator | Αλαχιωτης Νικολαος | el |
| Creator | Low Tze Meng | en |
| Creator | Pavlidis Pavlos | en |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Linkage disequilibrium (LD) is the non-random association between alleles at different loci. Assessing LD in thousands of genomes and/or millions of single-nucleotide poly-morphisms (SNPs) exhibits excessive time and memory requirements that can potentially hinder future large-scale genomic analyses. To this end, we introduce qLD (quickLD) (https//lgithub.com/StrayLamb2lqLD), a highly optimized open-source software that assesses LD based on Pearson's correlation coefficient. qLD exploits the fact that the computational kernel for calculating LD can be cast in terms of dense linear algebra operations. In addition, the software employs memory-aware techniques to lower memory requirements, and parallel GPU architectures to further shorten analysis times. qLD delivers up to 5x faster processing than the current state-of-the-art software implementation when run on the same CPU, and up to 29x when computation is offloaded to a GPU. Furthermore, the software is designed to quantity allele associations between arbitrarily distant loci in a time-and memory-efficient way, thereby facilitating the evaluation of long-range LD and the detection of co-evolved genes. We showcase qLD on the analysis of 22,554 complete SARS-CoV-2 genomes. | en |
| Type of Item | Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Publication | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2022-01-24 | - |
| Date of Publication | 2020 | - |
| Subject | Linkage disequilibrium | en |
| Subject | Software | en |
| Subject | GPU | en |
| Bibliographic Citation | C. Theodoris, N. Alachiotis, T. M. Low and P. Pavlidis, "qLD: high-performance computation of linkage disequilibrium on CPU and GPU," in IEEE Int. Conf. Bioinform. Bioeng. BIBE, 2020, pp. 65-72. doi: 10.1109/BIBE50027.2020.00019. | en |
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