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Erratum to: MetCap: A bioinformatics probe design pipeline for large-scale targeted metagenomics
BMC Bioinformatics volume 17, Article number: 39 (2016)
In our article , the numbers of probes and sequences for the CAZy dataset in the Additional file 3, table S3 (A) (Table 1 here) have been switched. The corrected table S3 (A) is presented in this erratum.
In the following three parts of our article  we would like to correct the numbers for probes and sequences accordingly.
Abstract (Results), page 1
To illustrate the advantage of a targeted metagenome approach, we have generated more than 400,000 probes that match more than 300,000 publicly available sequences related to carbon degradation, and used these probes for targeted sequencing in a soil metagenome study.
Results and discussion, page 6
In this study, 306,525 nucleotide sequences were extracted through the pipeline and used as a proof of concept. A list of group-wise collected sequences and generated probes from databases are given as Additional file 3: Table S3. In total, 406,277 unique probes were produced from these extracted nucleotide sequences in this study with the following criteria: length (50mer), GC contents (35-65), melting temperature (55-65), and 3 probes per cluster on 90 % cluster similarity.
Results and discussion, page 8
Among the downloaded sequences (Additional file 3: Table S3), 258,544 sequences belong to the CAZy database from four major families: Glycoside Hydrolase (110,923), Glycosyl Transferases (103,952), Carbohydrate Esterases (13,787), Polysaccharide Lyases (6,580), and an associated module, Carbohydrate binding-modules (23,302) and 348,316 probes have been designed from these sequences.
Kushwaha SK, Manoharan L, Meerupati T, Hedlund K, Ahren D. MetCap: a bioinformatics probe design pipeline for large-scale targeted metagenomics. BMC Bioinformatics. 2015;16:65.
The online version of the original article can be found under doi:10.1186/s12859-015-0501-8.
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Kushwaha, S.K., Manoharan, L., Meerupati, T. et al. Erratum to: MetCap: A bioinformatics probe design pipeline for large-scale targeted metagenomics. BMC Bioinformatics 17, 39 (2016). https://doi.org/10.1186/s12859-015-0843-2