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<strong>EMBL</strong> Research at a Glance 2009<br />

Weimin Zhu<br />

MSc, 1993, University of<br />

Toronto.<br />

Project Manager, GDB<br />

Project, Toronto, until 2000.<br />

Head of Bioinformatics,<br />

Synax Pharmar, Toronto,<br />

Canada, until 2002.<br />

Team leader at <strong>EMBL</strong>-EBI<br />

since 2002.<br />

Database Research and Development Group<br />

activities<br />

Previous and current research<br />

In February 2008, the Database Applications team was reorganised to form the Database Research<br />

and Development group due to the creation of the PANDA group.<br />

As the Database Application team, the team’s main functions were to provide software/tool development<br />

and maintenance support for the <strong>EMBL</strong> Nucleotide Sequence Database, and Oracle<br />

database support for all the Oracle databases in the PANDA group. The team also coordinated<br />

hardware resources with the EBI’s Systems and Networking team to ensure the hardware requirements<br />

for the projects within PANDA were met.<br />

The group’s new mandate is to conduct research and development to find new technologies and<br />

solutions to meet challenges related to very large databases (VLDB), which includes data distribution<br />

problems when network speed is a bottleneck, and the solutions required to manage and<br />

query VLDBs efficiently.<br />

The size of bioinformatics databases has been increasing exponentially over the last ten years.<br />

Some core resources are approaching, or have already reached, multi-terabytes in size. This trend<br />

of growth has accelerated in recent years by the introduction of new data types and high-throughput<br />

data producing technologies. Today, we are facing all the challenges a VLDB brings, such as<br />

those in data operational management, data access performance, and data mirroring and distribution. Our current infrastructure in these areas<br />

thus require upgrading in order to realise the full potential of data-rich resources, and optimise the usage of our human and hardware resources.<br />

This year, our main focus has been to analyse the uniqueness of bioinformatics datasets, and conduct research into possible solutions to large<br />

dataset distribution problems, especially over slow networks.<br />

Future projects and goals<br />

The development of a new delta compression algorithm will be continued. The goal is to develop prototype software, along with a data model<br />

and repository to store the pre-computed metadata for the algorithm, to test the key features of this new distribution system. The later stage<br />

of this work will be undertaken in collaboration with the Systems and Networking team and database projects requiring the distribution of<br />

large data files, as well as with external partners in countries with slow network connections to the EBI. This will allow us to benchmark the<br />

network saving for distributing large datasets using delta compression.<br />

The data distribution problem is not unique to the bioinformatics community. It is also a problem for other domains, such as particle physics<br />

and earth science. A workshop is planned for 2009 to share knowledge among scientists across specialisations. Another focus of this workshop<br />

is to bring together Chinese bioinformaticians and network backbone administrators to explore the network optimisation possibilities<br />

between China and the EBI.<br />

We will continue to seek external funding for the project’s long term goal – to have a stable and well-maintained distribution system for the<br />

EBI’s large databases.<br />

Selected references<br />

Cochrane, G. et al. (2008). Priorities for nucleotide trace, sequence<br />

and annotation data capture at the Ensembl Trace Archive and the<br />

<strong>EMBL</strong> Nucleotide Sequence Database. Nucleic Acids Res., 36, D5-<br />

D12<br />

86

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