000185082 001__ 185082
000185082 005__ 20230214173406.0
000185082 0247_ $$2CORDIS$$aG:(EU-Grant)690998$$d690998
000185082 0247_ $$2CORDIS$$aG:(EU-Call)H2020-MSCA-RISE-2015$$dH2020-MSCA-RISE-2015
000185082 0247_ $$2originalID$$acorda__h2020::690998
000185082 035__ $$aG:(EU-Grant)690998
000185082 150__ $$aDevelopment of an Easy-to-use Metagenomics Platform for Agricultural Science$$y2015-12-01 - 2019-11-30
000185082 371__ $$aNSILICO LIFE SCIENCE LIMITED$$bNSILICO LIFE SCIENCE LTD$$dIreland$$ehttp://www.nsilico.com$$vCORDIS
000185082 371__ $$aFTK FORSCHUNGSINSTITUT FUR TELEKOMMUNIKATION UND KOOPERATION EV$$bFTK$$dGermany$$ehttp://www.ftk.de$$vCORDIS
000185082 371__ $$aUniversity of Naples Federico II$$bUniversity of Naples Federico II$$dItaly$$ehttp://www.unina.it/index.jsp$$vCORDIS
000185082 371__ $$aUniversity of Ulster$$bUU$$dUnited Kingdom$$ehttp://www.ulster.ac.uk/$$vCORDIS
000185082 371__ $$aScotland's Rural College$$bSRUC$$dUnited Kingdom$$ehttp://www.sruc.ac.uk/$$vCORDIS
000185082 372__ $$aH2020-MSCA-RISE-2015$$s2015-12-01$$t2019-11-30
000185082 450__ $$aMetaPlat$$wd$$y2015-12-01 - 2019-11-30
000185082 5101_ $$0I:(DE-588b)5098525-5$$2CORDIS$$aEuropean Union
000185082 680__ $$aThe 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
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000185082 909CO $$ooai:juser.fz-juelich.de:282347
000185082 970__ $$aoai:dnet:corda__h2020::1432622005f5d5f61ccf31bb504c9b98
000185082 980__ $$aG
000185082 980__ $$aCORDIS
000185082 980__ $$aAUTHORITY