Session 3: Data Resources and Analysis

OpenTox Euro 2014 Session 3: Data Resources and Analysis

Data Resources and Analysis
Session Chair: Ola Spjuth, Uppsala Universitat

Tuesday, 23 September 2014
from 8.30 to 10:30

Speakers Title
Ola Spjuth, Uppsala Universitat e-Science infrastructures for enabling large-scale predictive modeling in toxicology and pharmacology
Nina Jeliazkova, IdeaConsult On chemical structures, substances, nanomaterials and data exploration
Egon Willighagen, Maastricht University Open PHACTS: Solutions and the Foundation
Johan Nyström-Persson, Level Five Toxygates - a hybrid linked data and microarray platform for user-friendly toxicogenomics
Roland Grafström, Karolinska Institutet Toxicogenomics-considering applications to predictive toxicology

The emergence of high-throughput molecular technologies such as massively parallel sequencing and drug screening has transformed toxicology and pharmacology into data-intensive disciplines. Several international consortia have gathered and deposited large data collections that have advanced our understanding on various levels, and these resources can also be very useful to relate to or integrate with local experiments. For example can the inclusion of omics profiles in predictive toxicology and pharmacology open up new avenues for improved predictive modeling and mechanistic interpretations, such as discovering toxicology and pharmacology pathways and biomarkers.

In order to make the available data resources widely accessible, the research community needs graphical user interfaces (GUIs), application program interfaces (APIs) for programmatic access, data standards and semantic technologies to be able to access, integrate and analyze the data.

In this session we will hear about some resources and solutions to achieve this, including the Toxygates database, the OpenPHACTS initiative, and the AMBIT system. We will also hear about the necessary computational e-infrastructures necessary to carry out analysis on large scale, and end with an exciting study where toxicogenomics analysis were shown to yield improved results for elucidating modes of action and for linking exposures in vitro to toxicity effects in vivo.