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Evaluation of the impact of Illumina error correction tools on de novo genome assembly
2017
BMC Bioinformatics
Recently, many standalone applications have been proposed to correct sequencing errors in Illumina data. The key idea is that downstream analysis tools such as de novo genome assemblers benefit from a reduced error rate in the input data. Surprisingly, a systematic validation of this assumption using state-of-the-art assembly methods is lacking, even for recently published methods. Results: For twelve recent Illumina error correction tools (EC tools) we evaluated both their ability to correct
doi:10.1186/s12859-017-1784-8
pmid:28821237
pmcid:PMC5563063
fatcat:5rb3wd7gxnetjbz234qqwloeei