MeCorS is a tool to
correct chimeric reads and sequencing errors in Illumina data
generated from single amplified genomes (SAGs). It uses sequence
information derived from accompanying metagenome sequencing to
accurately correct errors in SAG reads, even from ultra-low
coverage regions. In evaluations on real data, we show that MeCorS
outperforms BayesHammer, the most widely used state-of-the-art
approach. MeCorS performs particularly well in correcting chimeric
reads, which greatly improves both accuracy and contiguity of de
novo SAG assemblies.
MeCorS
