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Following publication of the original article [1], the author reported that there are several errors in the original article;
The figures’ order in HTML and PDF did not match with each other.
In the original article incorrect Fig. 3 was the correct Fig. 7.
In the original article incorrect Fig. 4 was the correct Fig. 6.
In the original article incorrect Fig. 5 was the correct Fig. 3.
In the original article incorrect Fig. 6 was the correct Fig. 4.
In the original article incorrect Fig. 7 was the correct Fig. 5
The caption of Table 1 was published incorrect.
Incorrect:
Table 1 The four different reference sequences used to guide the reconstruction of the western-grey kangaroo mitochondrial amplicon from short sequencing reads.
Correct:
Table 1 The four different reference sequences used to guide the reconstruction of the western-grey kangaroo mitochondrial amplicon from short sequencing reads. For each circular mitochondrial genome, the genome coordinates of the extracted region are indicated as well as its length. The percentage identity to the western-grey amplicon is calculated on the homologous regions only, i.e. the non-aligned sections at the beginning and the end of the alignment are not taken into account.
In this correction article the figures are shown correct with the correct caption of Table 1.
Reference
1.Ranjard, et al. Effective machine-learning assembly for next-generation amplicon sequencing with very low coverage. BMC Bioinformatics. 2019;20:654. doi: 10.1186/s12859-019-3287-2. [DOI] [PMC free article] [PubMed] [Google Scholar]