#HoffmanLab
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robp.bsky.social
Very cool, but the link to the software seems broken to me (bitbucket.org/hoffmanlab/u...)! Any idea what might be up?
bitbucket.org
August 1, 2025 at 6:56 PM
michaelhoffman.bsky.social
Reading "Efficient counting of k-mers in DNA sequences using a Bloom filter" by @pmelsted.bsky.social @jkpritch.bsky.social for #HoffmanLab journal club. I really like the clear diagram used to explain Bloom filters. 🧪🧬🖥️ bmcbioinformatics.biomedcentral.com/articles/10....
Bloom filter example. An example of a Bloom filter with three hash functions. The k-mers a and b have been inserted, but c and d have not. The three hash functions are represented with arrows, and the bits corresponding to the hashes for a and b have been set to 1. The Bloom filter indicates correctly that k-mer c has not been inserted since not all of its bits are set to 1. However, k-mer d is an example of a false positive: it has not been inserted, but since its bits were set to 1 by the insertion of a and b, the Bloom filter falsely reports that d has been seen already.
October 9, 2024 at 6:40 PM
michaelhoffman.bsky.social
1/At the #HoffmanLab lab meeting, we often have tech talks describing useful tools for other lab members. Since they might also prove useful for others, we've been posting almost every #HoffmanLabTechTalk for years. 🧪🧬💻
June 11, 2024 at 9:24 PM