Correction to: Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage

Abstract

Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage [RAW_REF_TEXT] Louis Ranjard 1 , [/RAW_REF_TEXT] [RAW_REF_TEXT] Thomas K. F. Wong1 & [/RAW_REF_TEXT] [RAW_REF_TEXT] Allen G. Rodrigo1 [/RAW_REF_TEXT] BMC Bioinformatics volume 21, Article number: 24 (2020) Cite this article [RAW_REF_TEXT] 248 Accesses [/RAW_REF_TEXT] [RAW_REF_TEXT] 3 Altmetric [/RAW_REF_TEXT] [RAW_REF_TEXT] Metrics details [/RAW_REF_TEXT] [RAW_REF_TEXT] The original article was published in BMC Bioinformatics 2019 20:654 [/RAW_REF_TEXT] Correction to: BMC Bioinform https://doi.org/10.1186/s12859-019-3287-2 Following publication of the original article [1], the author reported that there are several errors in the original article; [RAW_REF_TEXT] 1. The short-reads originate from a western-grey kangaroo amplicon of length 5,130bp with 5× coverage, therefore the expected number of bases covered is ∼25, 000 (dashed line) Full size image Fig. 2 figure2 Number of errors and length in nucleotide of the reconstructed amplicon for each bioinformatic pipeline and simulation settings. The 95% intervals are shown as solid lines for each method along both dimensions (reconstructed amplicon length and error rate) Full size image Fig. 3 figure3 With more than 20× coverage, the de Bruijn graph assembly is able to reconstruct the expected amplicon length (5,130bp) Full size image Fig. 4 figure4 Increasing the number of mapping iteration of the same reads does improve the number of aligned reads, measured as number of bases covered, but only to a limited extend. Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage [RAW_REF_TEXT] Louis Ranjard 1 , Thomas K. F. Wong1 & Allen G. Rodrigo1 [/RAW_REF_TEXT] BMC Bioinformatics volume 21, Article number: 24 (2020) Cite this article [RAW_REF_TEXT] 248 Accesses 3 Altmetric Metrics details The original article was published in BMC Bioinformatics 2019 20:654 [/RAW_REF_TEXT] Correction to: BMC Bioinform https://doi.org/10.1186/s12859-019-3287-2 Following publication of the original article [1], the author reported that there are several errors in the original article; [RAW_REF_TEXT] 1.