Abstract
The quality of high-throughput next-generation sequencing data significantly influences the performance and memory consumption of assembly and mapping algorithms. The most ubiquitous platform, Illumina, mainly suffers from substitution errors. We have developed a tool, ACE, based on K-mer tries to correct such errors. On real MiSeq and HiSeq Illumina archives, ACE yields higher gains in terms of coverage depth, outperforming state-of-the-art competitors in the majority of cases.
Original language | English |
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Pages (from-to) | 3216-3218 |
Journal | Bioinformatics |
Volume | 31 |
Issue number | 19 |
DOIs | |
Publication status | Published - 2015 |