~/talk

Challenges of analysing the wheat genome

Talkat PyData London 2016 · 2016-05-06..05-08· [machine-learning, databases]
links:none on file
slides:none on file

Claim: wheat is triploid, five times more DNA than a human, and up to 80% repeats, so standard pipelines hit memory and logic limits. Alignment files balloon (17 Gb reference yields ~0.5 Tb compressed alignments), single runs take weeks on cluster, FPGAs cut 3–4 day jobs to ~110 minutes but incur slow transfers, and many tools assume model organisms or hard‑coded limits. Practical fixes include rewriting components, running reference‑to‑self to model false positives, and filtering by quality >200 to keep real variants.

AI-written summary · about

  1. 0:00Introduction
  2. 8:04Wheat genome challenges
  3. 16:46Read alignment in repeats
  4. 26:01Computational limits
  5. 32:05Summary
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