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Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art
2016
Bioinformatics
Identifying overlaps between error-prone long reads, specifically those from Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PB), is essential for certain downstream applications, including error correction and de novo assembly. Though akin to the read-to-reference alignment problem, read-to-read overlap detection is a distinct problem that can benefit from specialized algorithms that perform efficiently and robustly on high error rate long reads. Here, we review the current
doi:10.1093/bioinformatics/btw811
pmid:28003261
pmcid:PMC5408847
fatcat:veduiqhzorbxjkbcit6fegfcwy