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update annembed link
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jianshu93 authored Feb 1, 2024
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Expand Up @@ -89,7 +89,7 @@ Query_Name is your query genomes, Distance is genomic Jaccard distance (1-J/Jp),
We also provide scripts for analyzing output from request and compare with other ANI based methods here: https://github.com/jianshu93/gsearch_analysis

## Ann
For UMAP-like algorithm to perform dimension reduction and then visuzlizing genome database, we run it after the tohnsw step (pre-built database) (see below useage ann section). See [annembed](https://github.com/jean-pierreBoth/annembed) crate for details. Then the output of this step can be visualized, for example for the GTDB v207 we have the following plot. A new paper for the library and also this subcommand is in preparation.
For UMAP-like algorithm to perform dimension reduction and then visuzlizing genome database, we run it after the tohnsw step (pre-built database) (see below useage ann section). See [annembed](https://github.com/jean-pierreBoth/annembed) crate for details. Then the output of this step can be visualized, for example for the GTDB v207 we have the following plot. See paper [here](https://www.biorxiv.org/content/10.1101/2024.01.28.577627v1).

![Alt!](https://github.com/jean-pierreBoth/gsearch/blob/master/GSearch-annembed-GTDBv207.jpg?raw=true)

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## References

1. Jianshu Zhao, Jean Pierre Both, Luis M. Rodriguez-R and Konstantinos T. Konstantinidis, 2022. GSearch: Ultra-Fast and Scalable Microbial Genome Search by combining Kmer Hashing with Hierarchical Navigable Small World Graphs. *bioRxiv* 2022:2022.2010.2021.513218. [biorxiv](https://www.biorxiv.org/content/10.1101/2022.10.21.513218v3).
1. Jianshu Zhao, Jean Pierre-Both, Luis M. Rodriguez-R and Konstantinos T. Konstantinidis, 2022. GSearch: Ultra-Fast and Scalable Microbial Genome Search by combining Kmer Hashing with Hierarchical Navigable Small World Graphs. *bioRxiv* 2022:2022.2010.2021.513218. [biorxiv](https://www.biorxiv.org/content/10.1101/2022.10.21.513218v3).

2. Jianshu Zhao, Jean Pierre-Both, Konstantinos T Konstantinidis, 2024. Approximate Nearest Neighbor Graph Provides Fast and Efficient Embedding with Applications in Large-scale Biological Data. *bioRxiv* 2024.01.28.577627. [biorxiv](https://www.biorxiv.org/content/10.1101/2024.01.28.577627v1)

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