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Add multi-hash support for common Bloom filter (#88)
* Add multi-hash to ntsynt_make_common_bf.cpp
* Add hashes option to python driver and snakemake files
* Update tests for multi-hash
* Update CI
* Update README.md
* Update btllib version in README.md
* Update default hash number in ntsynt_make_common_bf.cpp
More information can be found on our [wiki page](https://github.com/BirolLab/ntSynt/wiki/de-novo-statistics-summary)
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### Tips / Visualization <aname=tips></a>
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- To lower the peak memory usage, increase the false positive rate (--fpr) for the constructed Bloom filter
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- To lower the peak memory usage, increase the number of hash functions (--hashes) and/or increase the false positive rate (--fpr) for the constructed Bloom filter
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- Customize parameters such as --merge, --indel, --block_size and --w_rounds for your particular input data and research questions
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- For visualizing the multi-genome output synteny blocks, check out our streamlined visualization tool [ntSynt-viz](https://github.com/BirolLab/ntSynt-viz). Examples of the scripts used to generate the figures in the [ntSynt manuscript](https://link.springer.com/article/10.1186/s12915-025-02455-w) can be found in the sub-directory [visualization_scripts](https://github.com/BirolLab/ntSynt/tree/main/visualization_scripts)
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- If you do not know the approximate sequence divergence between the input assemblies, we recommend using [Mash](https://github.com/marbl/Mash) to estimate the divergences
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