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RAD and MIAME Express Web Annotation Forms

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Title: RAD and MIAME Express Web Annotation Forms


1
RAD and MIAME ExpressWeb Annotation Forms
  • Angel Pizarro
  • Center for Bioinformatics, CBIL
  • University of Pennsylvania

2
Annotation Needs
  • In order to collect all the necessary
    experimental info from the bench-investigator,
    need
  • user-friendly interfaces
  • use of ontologies
  • known terms with a defined meaning
  • minimize free text
  • queries can be generated using CV terms

3
  • 1.1 Basic Features common to all pages in
    MIAMExpress

Bear in mind for navigating MIAMExpress
4
The Help Page
5
  • 1.2. Specific features common to the branching
    Forms

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  • 2.2 Select a submission type from the main hub
  • Remember the quick links to the helpnotes.

8
  • 2.3.1 Protocol Submission Form
  • The form is divided in 6 sections corresponding
    to 6 basic protocols of a microarray experiment

9
  • 2.3.1 Protocol Submission Form

10
  • 2.3.2 Work case Submitting an Extraction Protocol

http//www.ebi.ac.uk/miamexpress/
11
GUS (Genomics Unified Schema)
  • RAD is part of GUS
  • http//www.gusdb.org/
  • This platform maximizes the utility of stored
    data by warehousing them in a schema that
    integrates the genome, transcriptome, gene
    regulation and networks, ontologies and
    controlled vocabularies, gene expression
  • Relational schema, Perl object layer, plug-ins
  • Source code available through a CVS repository
    hosted by the Sanger Institute
  • Generate MAGE-ML to enable easy deposition into
    ArrayExpress (MAGEstk)

12
RAD uses MIAME/MAGE
13
RAD web-forms for Annotationhttps//www.cbil.upe
nn.edu/RAD/forms/php/
  • General Architecture
  • Module based
  • Written in php
  • Data input accomplished by Perl object layer
  • Front-end data integrity checked by JavaScript
  • Exploit the RAD ontologies, which comprises the
    OWG efforts, e.g.
  • Study Design Study Design Type, Study Factor
    Type
  • Biomaterials material type, biosource type,
    strain, cell line, dev. stage, organism part,
  • Exploit data privacy and project/group separation
    present in RAD
  • Cover all parts of the MIAME checklist
  • Allow to enter very specific details of the
    experiments

14
Logical Flow
Login
New User Registration
Data Preferences (Group, Project)
Study
Misc
From Assay to Quantification
Study Design
Biomaterials (samples, treatments)
Module I
Module II
Module III
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Flexible entry points
  • There are dependencies between forms.
  • However access to all forms is opened at all
    times. This allows
  • Choice of depth-first or breadth-first annotation
    according to which best optimizes batching for
    the data at hand.
  • Entering of info at different times, without
    having to fill it all in in the same session.

17
Batching
  • Enabled whenever possible
  • One form currently not batched is the Assay
    one. Could be batched if the common fields are
    always the same for expected data
  • There are various combinations in which the forms
    can be used so to batch the information. The
    optimal combination for a given dataset will
    depend on the particular kind of information
    available for that dataset.

18
From Assay to Quantification RAD3 Tables
Assay
Array
AssayParam
Acquisition
AcquisitionParam
RelatedAcquisition
RelatedQuantification
Quantification
QuantificationParam
is parent of
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Study Design RAD3 Tables
StudyAssay
StudyDesignAssay
Assay
StudyDesignType
StudyFactorValue
OntologyEntry
22
MGED Ontology
Can add terms
23
BioMaterial RAD3 Tables
BioMaterialMeasurement
OntologyEntry
BioMaterialCharacteristic
Treatment
BioMaterialImp
LabelMethod
LabeledExtract
BioSample
BioSource
AssayLEX
AssayBioMaterial
Assay
24
MGED Ontology
25
MGED Ontology
26
An Example BioMaterial
27
Help
  • By clicking on ? next to each field in each
    form, a window with usage for that field pops-up.
    This queries GUS.App.FormHelp
  • Windows displaying descriptions of protocols
    already in RAD can be opened upon clicking a
    button.
  • Windows displaying definitions for certain MGED
    ontology entries can be opened upon clicking a
    button.
  • A general tutorial with sample annotation is
    under development.

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Benefits of Annotation
32
Benefits (2)
33
Benefits (3)
34
Export to MAGE
35
MIAMExpress Team
  • The Microarray Team _at_ EBI
  • Alvis Brazma Ugis Sarkans
  • Developers
  • Mohamad Shojatalab Niran Abeygunawardena.
    Sergio Contrino
  • Curators
  • Helen Parkinson Susanna Sansone Ele Holloway
    Gaurab Mukherjee. Philippe Rocca-Serra

http//www.ebi.ac.uk/miamexpress/
36
RAD WebForms Group
  • Elisabetta Manduchi
  • Greg Grant
  • Junmin Liu
  • Trish Whetzel
  • Hongxian He
  • Matt Mailman
  • Chris Stoeckert

http//www.gusdb.org
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