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MetaCoAG can be easily extended to work with other metagenomics assemblers. In the future, we plan to extend MetaCoAG to support overlapped binning [24] (i.e., contigs may belong to multiple species) and multi-sampled binning [27] (i.e., integration across multiple samples instead of co-assembly).
I am wondering if the current implementation of metacoag supports input coverage across multiple samples for binning?
Best,
Francisco
The text was updated successfully, but these errors were encountered:
Yes, MetaCoAG supports input coverage across multiple samples for binning. You can generate coverage files for each sample using a tool such as CoverM and combine those into one abundance file using the combine_cov.py script.
Please let me know if you have any further questions.
Hello, thanks for developing this tool.
In the metacoag paper you write:
I am wondering if the current implementation of metacoag supports input coverage across multiple samples for binning?
Best,
Francisco
The text was updated successfully, but these errors were encountered: