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Paper summary

This paper presents a robust understanding of human lineage data, discussing distributions, selection, and integration methods. Advanced techniques include discriminative training, co-occupancy matrix, and GWAS hypothesis ranking. Timeline set for paper completion.

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Paper summary

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  1. Paper summary Ewan Birney, Ian Dunham

  2. Thoughts • We have a solid understanding of much – indeed most – of our data • We can comment on distributions, constraint, selection in the human linage etc • We have effective unbiased ways to integrate data • Segmentation and super labels • We have effective targeted analysis • Discriminative training, Chromatin<->RNA correlations • We have involved integration across elements • Co-occupancy matrix, Chia-Pet, 5C, Networks • We can both rank and provide compelling hypotheses for non coding GWAS hits • This generalises to Personal genomics

  3. Summary We have mastery of our data There are interesting things that we have learnt from our data We are in the position to write the main paper (hurray!)

  4. Suggested timeline June 1st Locked down Figures/Analysis May PI Call, Yes/No to Paper coordination May ENCODE/ Mod ENCODE Meeting. All Figures On Real Data. Journal Decision July 1st Submission April 1st, “All” (80%) Figures in Mock, Old Data form

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