Fernando Meyer comments

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                                            Fernando Meyer

mixed dtype for BINID can cause bins with same IDs to be split into separate bins

Thanks for reporting this. One can try setting `df['BINID'] = df['BINID'].astype(pd.StringDtype())` in function [load_binnings](https://github.com/CAMI-challenge/AMBER/blob/8a27c64ec3fc50adb9cd6f239d3a087ea39cf740/cami_amber/utils/load_data.py#L145). If you can provide a test case, I will be happy to test this.

How to convert into CAMI Bioboxes format?

Hi, we don't officially provide conversion scripts because we can't keep up with tools producing each a different format, and some tools like MetaPhlAn nowadays already support the CAMI Bioboxes...

mixed dtype for BINID can cause bins with same IDs to be split into separate bins

Likely fixed in v2.0.5

Use OPAL for metabarcoding assessment

If you need to assess taxonomic assignment per read, you could use AMBER (https://github.com/CAMI-challenge/AMBER). Would that work? If not, could you describe what types of files you need to assess,...

Old files archive are not correct

You can download the binning gold standards for the Medium and High pooled assemblies here: Medium: https://openstack.cebitec.uni-bielefeld.de:8080/swift/v1/CAMI_I_MEDIUM/pooled_gsa_mapping.binning.tsv High: https://openstack.cebitec.uni-bielefeld.de:8080/swift/v1/CAMI_I_HIGH/gsa_mapping_pool.binning Other files are available, as in the description of each dataset...