Hacking the Human Genome Using Clojure and Similarity Search
summary
Uses Clojure pipelines to slide windows over multispecies alignments, compute Hamming-distance fingerprints and conservation, then apply similarity search plus clustering to propose transcription-factor motifs. Implements one-class SVMs and hybrid filters to rank and de-duplicate millions of candidates, returning motif logos and syntax rules for promoters. Claims recovery of about 81% recall on known TFs and produces ranked novel binding-site predictions, demonstrating a working end-to-end discovery pipeline.
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chapters (7)
- 0:00Start
- 3:01iPS: induced pluripotent stem cells
- 5:00Transcription Factors attach
- 12:11Similarity Search Definition
- 13:12Example: Hamming Distance
- 16:02Distance Function Example
- 23:58Post-processing
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