Moore Notes 12 18 13

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Group Call

  • Participants: Katie, Tom, Stephen, Dongying, Patrick, Josh
  • PICRUSTs update:
    • Does collapsing KOs to pathways (via EC identifiers) improve agreement between PICRUSTs and Shotmap?
      • Small improvement in correlation, but similar to KO results
      • Correlation is statistically significant but not high
      • Katie: Check that ECs are all pathways and not individual enzymes
      • Discussed results to Jack Gilbert
      • Stephen: What about presence-absence? Tom: slightly better. Stephen: could check families that are above an abundance threshold in metagenomes.
  • Stephen: Looks like the Tara Oceans data is available?
    • Josh will check release dates
    • Tom: Check rules about using data pre-publication (Ft. Lauderdale, permissions etc)
    • Where to put data and do compute?
      • Single repository, with mirrors
      • Distribute compute jobs across systems and users
      • IHG cluster
      • Other pay-as-you-go options: EC2 just got cheaper
  • Josh: Tibetan soils
    • Can we predict current bacterial distributions from historical climate data?
      • About 80% of taxa (plus community composition: NMDS1) are better predicted by climate data from 50 years ago than current climate data
      • Similar results were found in North American soils, e.g., Deltaproteobacteria
      • Josh: plants and other dispersal limited taxa in communities could be driving this
        • Stephen: how closely do bacteria really associate with plants?
        • Tom: check what lag is in plant data
        • Josh: Will also look at deserts vs. other regions with more plants
        • Stephen: What was happening in 1970s when prediction falls? Is it real or an artifact of data collection?
          • Check what climate variable(s) change then
          • Tom: did soil disturbance patterns change?
        • Tom: Fluctuations are also interesting