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Copy file name to clipboardExpand all lines: README.md
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1. LexicMap enables efficient indexing and searching of both RefSeq+GenBank and the [AllTheBacteria](https://www.biorxiv.org/content/10.1101/2024.03.08.584059v1) datasets (**2.3 and 1.9 million prokaryotic assemblies** respectively).
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1. When searching in all **2,340,672 Genbank+Refseq prokaryotic genomes**, *Blastn is unable to run with this dataset on common servers as it requires >2000 GB RAM*. (see [performance](#performance)).
- The queries need to be longer than 100 bp, though some shorter one can also be aligned.
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- LexicMap is slow for >1Mb queries, and the alignment might be fragmented.
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- LexicMap is slow for batch searching with more than hundreds of queries. While, there are [some ways to improve the search speed of lexicmap search](http://bioinf.shenwei.me/LexicMap/tutorials/search/#improving-searching-speed), such as keeping the top N genome matches via `-n/--top-n-genomes` or storing the index on solid state drives (SSDs).
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- LexicMap is slow for batch searching with more than hundreds of queries. However, there are [some ways to improve the search speed of lexicmap search](http://bioinf.shenwei.me/LexicMap/tutorials/search/#improving-searching-speed), such as keeping the top N genome matches via `-n/--top-n-genomes` or storing the index on solid state drives (SSDs).
Copy file name to clipboardExpand all lines: docs/content/introduction/_index.md
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1. LexicMap enables efficient indexing and searching of both RefSeq+GenBank and the [AllTheBacteria](https://www.biorxiv.org/content/10.1101/2024.03.08.584059v1) datasets (**2.3 and 1.9 million prokaryotic assemblies** respectively).
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1. When searching in all **2,340,672 Genbank+Refseq prokaryotic genomes**, *Blastn is unable to run with this dataset on common servers as it requires >2000 GB RAM*. (see [performance](#performance)).
- The queries need to be longer than 100 bp, though some shorter one can also be aligned.
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- LexicMap is slow for >1Mb queries, and the alignment might be fragmented.
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- LexicMap is slow for batch searching with more than hundreds of queries. While, there are [some ways to improve the search speed of lexicmap search](http://bioinf.shenwei.me/LexicMap/tutorials/search/#improving-searching-speed), such as keeping the top N genome matches via `-n/--top-n-genomes` or storing the index on solid state drives (SSDs).
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- LexicMap is slow for batch searching with more than hundreds of queries. However, there are [some ways to improve the search speed of lexicmap search](http://bioinf.shenwei.me/LexicMap/tutorials/search/#improving-searching-speed), such as keeping the top N genome matches via `-n/--top-n-genomes` or storing the index on solid state drives (SSDs).
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