Phylotastic/Skills table

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For column descriptions hover over them (or see end of the page). For more info about participants, refer to this page.

Participant tree prov scale viz flow doc grft NeX mash tnrs use WS other Describe Other
Jim Balhoff prov flow NeX mash WS
Jim Balhoff Comments:
Holly Bik viz flow doc graft use other
Holly Bik Comments:
Mark Holder flow graft NeX WS
Mark Holder Comments:
Hilmar Lapp tree viz flow NeX mash WS
Participant Picture Comments: I am interested in interoperability and reuse of software and data, and have considerable experience in data and metadata modeling, software architecture, and API design for reuse.
Naim Matasci tree viz flow doc graft tnrs
Naim Matasci Comments:
Siavash Mirarab scale flow graft tnrs WS
Siavash Mirarab Comments: I am interested in TNRS, but have little experience with it. I am familiar with gene duplication concepts, so I can help with the reconciliation use case (if included). I work on meta-genomics, so I can help with a meta-genomic use case.
Megan Pirrung viz flow WS other
Megan Pirrung Comments:
Rick Ree tree prov scale viz flow doc graft tnrs use WS
Rick Ree Comments:
Aaron Steele tree prov viz flow doc mash tnrs WS
Aaron Steele Comments:
Jeet Sukumaran tree prov scale flow NeX mash
Jeet Sukumaran Comments:
Gaurav Vaidya flow mash tnrs WS other
Gaurav Vaidya Comments:
Jamie Estill tree graft NeX
Jamie Estill Comments:
Helena Deus prov viz flow doc mash tnrs WS other
Helena Deus Comments:
Emily Jane McTavish tree prov scale doc graft tnrs use other
Emily Jane McTavish Comments: My background is phylogenetics, and some bioinformatics. I'm most comfortable with python, fine with SQL, knew C++ and could probably remember if pressed. I'm particularly interested in how to incorporate uncertainty from source trees into phylotastic output, and make it handy without being dangerously blackboxy.
Peter Midford graft NeX tnrs other
Peter Midford Comments:
Tracy Heath scale doc graft tnrs
Tracy Heath Comments:
Ben Vandervalk flow mash WS
Ben Vandervalk Comments:
Cam Webb tree scale viz flow doc graft NeX mash tnrs use WS
Cam Webb Comments:
Christian M. Zmasek tree viz flow graft mash tnrs
Christian M. Zmasek Comments:
Participant Name tree prov scale viz flow doc graft NeX mash tnrs use WS other
Participant Picture Comments:

Column Names and Descriptions

  • tree (back-end trees): you know where to get large trees (>1K species) and make them available via some data store
  • prov (provenance annotation): you can use metadata to keep track of where results came from
  • scale (branch length): estimation: you can adapt tools that estimate missing branch lengths on species trees
  • viz (visualization): you can adapt an existing phylogeny visualization tool for new inputs and capabilities
  • flow (workflows): you can assemble web services (or other resources) into an executable workflow
  • doc (documentation): you can make screencasts and write clear how-to documents
  • grft (grafting & pruning): you can implement algorithms for grafting and pruning input trees to create a synthetic tree
  • Nex (NeXML spec): you can help expand the NeXML spec to cover the Phylotastic use-case
  • mash (semantic integration, mashups): you can write tools to discover, collect and integrate online data
  • TNRS (taxonomic name resolution): you can use and adapt tools to map one set of names to another
  • use (use-case expert): you know a real pruning-grafting-integration problem that can be used to test Phylotastic
  • WS (web service interfaces): you can design and implement interfaces to wrap existing tools
  • other (something else): you can contribute to this project in ways we haven't imagined yet
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