The aim of this project is to bring together experts from the academic and non-academic sectors and to create an easy-to-use integrated hardware and software platform. This will enable the rapid analysis of large metagenomic datasets. It will provide actionable insights into probiotic supplement usage, methane production and feed conversion efficiency in cattle. In the recent years, the number of projects or studies producing very large quantities of sequencing data – analysing microbial communities make-up and their interactions with the environment – has increased. Yet, the depth of analysis done is very superficial and represents an inefficient use of available information and financial resources. This project aims to address these deficiencies and will study the change within microbial communities, under various conditions in cattle guts and impacting probiotic supplement usage, methane production and feed conversion efficiency in cattle. To succeed, we propose to develop faster and more accurate analytic platforms in order to fully utilise the datasets generated. By focusing on better hardware and software platforms, better expertise and training, this project will pave the way for a more optimal usage of metagenomic datasets, thus reducing the number of animals necessary. This will ensure better and more economic animal welfare. The Meta-Plat project objective is a mixture of innovative research, focused application and commercial awareness. The core objectives being pursued are: • Sample gut collection, from cattle, for sequencing; • Collection of publically available databases – to create a new classification of previously unclassified sequences, using machine learning algorithms; • Development of accurate classification algorithms; • Real-time or time-efficient comparison analyses; • Production of statistical and visual representations, conveying more useful information; • Platform integration; • Provide insights into probiotic supplement usage, methan

The aim of this project is to bring together subject matter experts from the academic and non-academic sectors to create a holistic informatics platform for rapidly integrating genomic sequences, electronic health records (EHRs) and research repositories to enable personalised medicine strategies for malignant melanoma treatment. The consortium has engaged in a pre-proposal process with active clinical end users who have highlighted the need for more innovative approaches for the treatment of cancer - in particular the treatment of malignant melanoma, including inter alia the ability to rapidly query of geno-phenotype associations in melanoma such as the recently discovered rs2301641 SNP variability with ABCB5 function and CDK4 gene indicators . Hence we aim to develop a scalable HPC framework that allows the semantic interlinking between spatially distributed electronic patients’ health records, associated genomic sequences and published research, thereby allowing clinicians to make reasoned queries over vast knowledge bases for the diagnosis, treatment and management of malignant melanoma.