
. Genomic and metagenomic fields, generating huge sets ofshort genomic sequences, brought their own share of high performanceproblems. To extract relevant pieces of information from the huge datasets generated by current sequencing techniques, one must rely on extremelyscalable methods and solutions. Indexing billions of objects isa task considered too expensive while being a fundamental need in thisfield. In this paper we propose a straightforward indexing structure thatscales to billions of element and we propose two direct applications ingenomics and metagenomics. We show that our proposal solves probleminstances for which no other known solution scales-up. We believe thatmany tools and applications could benefit from either the fundamentaldata structure we provide or from the applications developed from thisstructure.
[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
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