Comments (4)
Centrifuge itself does not use k-mers. For the compression part, it use 31-mers, but this k-mer is used to cluster more similar strains from the species, so the information is not directly used in the compression either.
For the recent RefSeq prokaryotic genomes, the size is too huge, and the index size is above 80GB, which is beyond the limit from Zenodo...
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I think for 1.3TB sequences, you may need about 3TB memory to build the index...
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@mourisl Thanks for your response. It's sad that I don't have sufficient memory available. I suppose I'll need to reduce the data size, perhaps by only keeping the representative genome for each species.
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@mourisl I am wondering what is the k-mer length used during genomes compression in the centrifuge database h+p+v+c or what is the default k-mer in database construction?
Are you planning to update the Centrifuge databases or create Centrifuge databases based on all RefSeq genomes?
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Related Issues (20)
- centrifuge download fails HOT 2
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