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Annual Scientific Report 2015

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Mouse informatics<br />

In <strong>2015</strong> we continued to support the archiving, analysis<br />

and dissemination of complex phenotype data being<br />

generated by the International Mouse Phenotyping<br />

Consortium (IMPC). We put considerable efforts into<br />

standardising high-throughput phenotyping data,<br />

which is pivotal to making the bridge between mouse<br />

biology and precision medicine. Outstanding features<br />

of the infrastructure provided by the IMPC, for example<br />

the versionable statistical analysis software package<br />

Phenstat, were highlighted in scholarly publications<br />

in <strong>2015</strong>, underscoring their utility to the research<br />

community. The project was used as an example of<br />

how infrastructure can facilitate reproducibility and<br />

replicability of results by incorporating ARRIVE<br />

guidelines into data management.<br />

The IMPC and its informatics platform were named<br />

as one of five case studies in a G7 report on global<br />

research infrastructures, which promoted the further<br />

development of a framework for transitioning national<br />

research infrastructures to international ones.<br />

We also contributed further to other international<br />

collaborations in mouse biology, including<br />

INFRAFRONTIER, which coordinates the global<br />

distribution of mouse models produced in Europe, and<br />

PhenoImageshare, an online, cross-species, crossrepository<br />

tool enabling semantic discovery, browsing<br />

and complex annotations of phenotype images.<br />

Helen Parkinson<br />

Samples, Phenotypes and<br />

Ontologies<br />

PhD Genetics, 1997. Research Associate<br />

in Genetics, University of Leicester<br />

1997-2000.<br />

At EMBL-EBI since 2000.<br />

Our mouse informatics group expects to have phenotype<br />

data for over 5000 new knockout lines as the IMPC<br />

completes the first phase of their mission. They will<br />

develop new infrastructure for the second phase<br />

of phenotyping, including longitudinal analysis for<br />

ageing studies. A major publication centred on embryo<br />

phenotyping is in development.<br />

Selected publications<br />

Group of Senior Officials on Global Research<br />

Infrastructures, Progress <strong>Report</strong> <strong>2015</strong>. Meeting of the<br />

G7 Science Ministers, 8-9 October <strong>2015</strong>. Published<br />

online 14 December <strong>2015</strong> at https://www.bmbf.de/files/<br />

G7_Broschuere_BITV.pdf<br />

Karp NA, Meehan TF, et al. (<strong>2015</strong>) Applying the ARRIVE<br />

guidelines to an in vivo database. PLoS Biol. 13:e1002151<br />

Kurbatova N, Mason JC, Morgan H, et al. (<strong>2015</strong>)<br />

PhenStat: A tool kit for standardized analysis of high<br />

throughput phenotypic data. PLoS One 10:e0131274<br />

Lloyd KC, Meehan T, Beaudet A, et al. (<strong>2015</strong>) Precision<br />

medicine: Look to the mice. Science 349:390<br />

Ring N, et al. (<strong>2015</strong>) A mouse informatics platform for<br />

phenotypic and translational discovery. Mamm Genome.<br />

26:413-421<br />

Future plans<br />

In 2016 we will deliver a new version of the<br />

Ontology Lookup Service and develop this further<br />

to accommodate the needs of the CORBEL and<br />

EXCELERATE user communities.<br />

The Gene Ontology Editorial Office at EMBL-EBI will<br />

continue and expand on existing work to consolidate<br />

across existing resources, improving consistency and<br />

reasoning. For example, taxon constraints integrated<br />

from the Uber Anatomy ontology can be directly used<br />

in the GO, lessening burden on editors and improving<br />

consistency for users. We will develop ontology<br />

content as well, with a focus on synaptic processes and<br />

components as well as microbial domains.<br />

<strong>2015</strong> EMBL-EBI <strong>Annual</strong> <strong>Scientific</strong> <strong>Report</strong> 122

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