NCBO Webinar: Ontology Driven Annotation, Integration and Analysis of Gene Expression Data - May 15 at 10am PDT

The next NCBO Webinar will be presented by James Malone from the European
Bioinformatics Institute on "Ontology Driven Annotation, Integration and
Analysis of Gene Expression Data" at 10:00am PDT, Wednesday, May 15.  Below
is information on how to join the online meeting via WebEx and accompanying
teleconference. For the full schedule of the NCBO Webinar presentations
see: http://www.bioontology.org/webinar-series.


ABSTRACT:
Archiving, integrating, and adding semantic value to high-throughput
gene-expression data present major challenges in bioinformatics. The data
are both diverse, covering many species, disease, and tissue types, and the
annotations need to be detailed enough to capture complex experimental
nuance relating to experimental process and biology. The main challenges in
annotating such data lie in identification of suitable ontologies,
consistent application of ontologies to the data in the context of
annotation tools, provision of context specific views of existing
ontologies for query, and development of automated annotation pipelines to
support curators. We describe in this talk our progress in addressing these
challenges, specifically: the development of tools to help build ontologies
for applications, the development of a linked data repository of annotation
knowledge and the publication of our gene expression database as RDF linked
data, connecting our ontology annotations to the data. Finally, we outline
our future work in developing an analysis package for use with this
semantically rich expression data enabling the generation and analysis of
gene lists of biological relevance. We highlight how we utilise NCBO tools
and the drivers we have identified as a result of this work.


SPEAKER BIO:
Dr. Malone is a Bioinformatician in the Functional Genomics Production Team
at the European Bioinformatics Institute based in Cambridge, UK. He leads
efforts to develop application ontologies and supporting ontology
development tools for use in the annotation of biomedical data. He
previously worked at the AIAI in University of Edinburgh on various joint
commercial-academic projects in areas including biomedical intelligent
system applications. He holds a PhD in Machine Learning in Bioinformatics,
an MSc in Bioinformatics and a BSc in Computer Science.


WEBEX DETAILS:
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Meeting information
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Date: May 15, 2013
Time: 10:00 am, Pacific Daylight Time (San Francisco, GMT-07:00)
Meeting Number: 925 756 393
Meeting Password: ncbo

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To start or join the online meeting
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Go to
https://stanford.webex.com/stanford/j.php?ED=171726072&UID=481527042&PW=NMzhlMDBjNzk0&RT=MiM0

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Audio conference information
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To receive a call back, provide your phone number when you join the
meeting, or call the number below and enter the access code.
Call-in toll number (US/Canada): 1-650-429-3300
Global call-in numbers:
https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=171726072&tollFree=0

Access code:925 756 393




Trish Whetzel, PhD
Outreach Coordinator
The National Center for Biomedical Ontology
Ph: 650-721-2378
http://www.bioontology.org

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