= Bloom filters in bioinformatics
{wiki=Bloom_filters_in_bioinformatics}
Bloom filters are a probabilistic data structure used for efficiently testing whether an element is a member of a set. They are particularly useful in scenarios where space efficiency is a priority and where false positives are acceptable but false negatives are not. In the context of bioinformatics, Bloom filters have several important applications, including: 1. **Sequence Data Handling**: With the massive amounts of genomic and metagenomic data generated by sequencing technologies, storage and processing efficiency is paramount.
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