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LSID Mashup (Morphster: Morphological Phyloinformatics)

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Title: LSID Mashup (Morphster: Morphological Phyloinformatics)


1
LSID Mashup(Morphster Morphological
Phyloinformatics)
  • Professor Daniel P. Miranker
  • Department of Computer Sciences
  • University of Texas at Austin
  • Austin, Texas, USA
  • http//www.morphster.org

Collaborators Tim Rowe, Julian Humphries
2
Morphster Workflow
uBio
Catalog of Taxonomic Names
UTCT
Treebase




Morphster
Image Database (one of many)
Matrix (Nexus file)
ZFIN
Anatomical Ontology (one of many)
3
Problem Integer Coding of Matrices
  • Input for tree reconstruction algorithms
  • Otherwise, all the biology is gone.

4
Later - Go Back and Make Sense of it All
uBio
Rosa minutifolia
Catalog of Taxonomic Names
Treebase
UTCT
Image Database (one of many)
ZFIN
?
Anatomical Ontology
5
The Time Space Continuum and Pointers
  • In RAM, pointer // In C
    variable
  • Functions at
  • Fixed time
  • Fixed Space
  • In a database, surrogate (RID)
  • Functions at
  • Any time
  • Fixed space
  • In a networked world, LSID
  • Functions
  • Any time
  • Any where

6
Every Record Gets an LSID
  • Where every record means,
  • each encoded part of a NEXUS file
  • Morphster LSID resolution yield LSIDs back to the
    source data

LSID1 Character State Assignment LSID2
Taxon (uBio) LSID4 Anatomical Feature,
ZFIN ontology LSID3 Labeled Image
in Morphbank
7
Morphster LSIDs Embody All the Provenance of a
Study
uBio
L2
Rosa minutifolia
Catalog of Taxonomic Names
Build a data structure, Label L1
L3
UTCT
Treebase L1
Image Database (one of many)
L1
ZFIN
L4
L2 L3 L4
Anatomical Ontology
uBio UTCT Ontology ID
Data Provenance
8
Morphster - Demo (on request)
  • Productivity tool
  • Targeted activity
  • Image Driven Ontology Editor
  • Compare to something familiar, Mesquite
  • Browse, collect information from diverse sources
  • Image annotation themselves are recorded in the
    ontology

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Other Major Aspects
  • Ontobrowser
  • publication of illustrated ontologies as web
    sites.
  • V1 done.
  • V2 nearly done.
  • OBO ----gt OWL translation
  • Ours does a round trip
  • done
  • Schema Driven LSID Assignment
  • Given your data is in a relational DBMS
  • Specify an export schema (in SQL)
  • Compiler and runtime does all the work.
  • At the feasibility stage.

17
The Full Picture Could be Implemented by a
Compiler
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