{"push_id":2473521588,"size":1,"distinct_size":1,"ref":"refs/heads/lsh","head":"9e94309ec45b962893bf402f55dd394d5bb25cb6","before":"79c0eec9df71594474652f4dddca4670ed7229f1","commits":[{"sha":"9e94309ec45b962893bf402f55dd394d5bb25cb6","author":{"name":"Hayden Metsky","email":"1b0833a07b30f3181130065cbdc2e33dae00956e@gmail.com"},"message":"Add filter for near-duplicate probes using MinHash\n\nThis filter is like the one using LSH based on Hamming distance, except this\nuses a family that constructs MinHash signatures. This commit adds an option to\ndesign.py for using this filter. The main advantage of this filter compared to\nthe Hamming distance filter is that it can be more sensitive in detecting\nnear-duplicate probes (e.g., ones that are shifted relative to each other). The\nmain downside is that the distance threshold is based on Jaccard distance and\nit is less intuitive to understand how these values translate to probe\nhybridization compared to Hamming distance.","distinct":true,"url":"https://api.github.com/repos/broadinstitute/catch/commits/9e94309ec45b962893bf402f55dd394d5bb25cb6"}]}
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