z-logo
Premium
quickLD: An efficient software for linkage disequilibrium analyses
Author(s) -
Theodoris Charalampos,
Low Tze Meng,
Pavlidis Pavlos,
Alachiotis Nikolaos
Publication year - 2021
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/1755-0998.13438
Subject(s) - computer science , software , multi core processor , pairwise comparison , linkage disequilibrium , inbreeding , graphics , linkage (software) , parallel computing , heuristic , biology , operating system , artificial intelligence , genetics , haplotype , allele , population , demography , sociology , gene
Software tools for linkage disequilibrium (LD) analyses are designed to calculate LD among all genetic variants in a single region. Since compute and memory requirements grow quadratically with the distance between variants, using these tools for long-range LD calculations leads to long execution times and increased allocation of memory resources. Furthermore, widely used tools do not fully utilize the computational resources of modern processors and/or graphics processing cards, limiting future large-scale analyses on thousands of samples. We present quickLD, a stand-alone and open-source software that computes several LD-related statistics, including the commonly used r 2 . quickLD calculates pairwise LD between genetic variants in a single region or in arbitrarily distant regions with negligible memory requirements. Moreover, quickLD achieves up to 95% and 97% of the theoretical peak performance of a CPU and a GPU, respectively, enabling 21.5× faster processing than current state-of-the-art software on a multicore processor and 49.5× faster processing when the aggregate processing power of a multicore CPU and a GPU is harnessed. quickLD can also be used in studies of selection, recombination, genetic drift, inbreeding and gene flow. The software is available at https://github.com/pephco/quickLD.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here