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Arioc: GPU-accelerated DNA short-read alignment

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RWilton/Arioc

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Download the current releasehere.

Download the Arioc user guidehere or as part of the current release.

Arioc-encoded reference genomes

The Arioc aligners use binary encoded lookup tables as reference genome indexes. For convenience, several Arioc-encoded reference genomes are available for download atftp://ftp.ccb.jhu.edu/pub/data/Arioc, the FTP server of theCenter for Computational Biology at Johns Hopkins University:

genomesubdirectorycontent
H sapiensH_sapiensNCBI GRCh38: patch 14 (WGS); patch 13 (WGS, WGBS)
M musculusM_musculusNCBI GRCm39
S cerevisiaeS_cerevisiaeS288C
T aestivumT_aestivumNCBI GCA_002220425.3 (Triticum 4.0)

Related publications

Wilton R, Budavari T, Langmead B, Wheelan SJ, Salzberg SL, Szalay AS.Arioc: high-throughput read alignment with GPU-accelerated exploration of the seed-and-extend search space.PeerJ. 2015,3:e808.DOI:10.7717/peerj.808

Wilton R, Li X, Feinberg AP, Szalay AS.Arioc: GPU-accelerated alignment of short bisulfite-treated reads.Bioinformatics. 2018,34(15):2673–2675.DOI:10.1093/bioinformatics/bty167

Wilton R, Szalay AS.Arioc: High-concurrency short-read alignment on multiple GPUs.PLoS Comput Biol. 2020,16(11):e1008383.DOI:10.1093/10.1371/journal.pcbi.1008383

Wilton R, Szalay AS.Performance optimization in DNA short-read alignment.Bioinformatics. 2022,38(8):2081–2087.DOI:10.1093/bioinformatics/btac066

Wilton R, Szalay AS.Short-read aligner performance in germline variant identification.Bioinformatics. 2023,39(8):1–11.DOI:10.1093/bioinformatics/btad480


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