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Annual Scientific Report 2015

EMBL_EBI_ASR_2015_DigitalEdition

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Functional Genomics Development<br />

Our team develops software for ArrayExpress, a core EMBL-EBI resource,<br />

and the BioStudies database, a resource for biological datasets that do not<br />

have a dedicated home within the institute’s services. We also contribute to the<br />

development of BioSamples, which centralises biological sample data.<br />

Together with the Expression Atlas team, we build<br />

and maintain data management tools, user interfaces,<br />

programmatic interfaces, and annotation and data<br />

submission systems for functional genomics resources.<br />

We also collaborate on a number of European<br />

‘multi-omics’ and medical informatics projects in a datamanagement<br />

capacity.<br />

Major achievements<br />

BioStudies<br />

The BioStudies database holds descriptions of biological<br />

studies, and links to data from these studies in other<br />

databases at EMBL-EBI and beyond. It is a repository<br />

for supplementary data files from published life-science<br />

experiments that do not fit in the structured archives at<br />

EMBL-EBI.<br />

In <strong>2015</strong> we redeveloped the BioStudies user interface<br />

to reflect the recommendations of a user experience<br />

study. We drew on a wide range of information<br />

sources to compile data for a comprehensive initial<br />

release of the database. This included supplementary<br />

information from articles in Europe PMC, studies from<br />

the EurocanPlatform project, datasets from diXa and<br />

HeCaToS toxicogenomics studies, imaging data from the<br />

Image Data Repository project and original, unsolicited<br />

submissions to BioStudies. This initial work enabled us<br />

to further refine our data-management principles and<br />

fine-tune the functionality of the user interface.<br />

A simple data submission tool will be launched in<br />

early 2016.<br />

ArrayExpress<br />

We continued to maintain ArrayExpress datamanagement<br />

tools and access interfaces, focusing on<br />

a major redesign of the post-submission experiment<br />

management tool. We continued to improve and<br />

automate the management of sequencing data, and<br />

collaborated with the European Nucleotide Archive<br />

team on methods for storing raw sequence data<br />

and information.<br />

We put significant efforts into further improving<br />

Annotare, our main data-submission tool (originally<br />

released in 2014). The emphasis of our work was on<br />

addressing the needs of curators in handling submitted<br />

datasets of varying levels of quality, and improving the<br />

file-upload functionality.<br />

BioSamples<br />

We continued to collaborate with the Samples,<br />

Phenotypes and Ontologies team on the basic<br />

infrastructure components of the BioSamples<br />

database, perhaps most notably in the context of the<br />

BioMedBridges project. We built a prototype system that<br />

links information from biobanks across BioSamples,<br />

the Biobanking and Biomolecular Resources Research<br />

Infrastructure (BBMRI) Hub and the Resource<br />

Entitlement Management System (REMS). The system<br />

now uses the Shibboleth system for authentication and<br />

access-rights control.<br />

Toxicogenomics and<br />

biomedical informatics<br />

Our work on the diXa toxicogenomics data warehouse—<br />

an Innovative Medicines Initiative (IMI) project—fed<br />

into the development of BioStudies from the outset.<br />

In <strong>2015</strong> we transferred datasets from the dedicated<br />

diXa data warehouse to the BioStudies database, and<br />

developed new functionality. We also started work on<br />

the HeCaToS project, which represents the continuation<br />

of diXa in terms of data management.<br />

We participate in a number of medical informatics<br />

projects, for example providing data management<br />

solutions for the EU-AIMS project on autism spectrum<br />

disorder. As a part of the European Medical Information<br />

Framework (EMIF) project for the reuse of patient<br />

health records in clinical research, we are building a<br />

cloud environment for multi-omics data management<br />

and analysis, providing and integrating (among other<br />

components) our R-cloud scientific computation<br />

infrastructure, several Docker-enabled data-analysis<br />

pipelines, and the iRODS data-management system.<br />

97<br />

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

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