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Hi-OMICS

High Performance Genomics for Software Defined Infrastructures

Total Cost €

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EC-Contrib. €

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Partnership

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Project "Hi-OMICS" data sheet

The following table provides information about the project.

Coordinator
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION 

Organization address
address: Calle Jordi Girona 31
city: BARCELONA
postcode: 8034
website: www.bsc.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website https://www.bsc.es/research-and-development/projects/hi-omics-high-performance-genomics-software-defined
 Total cost 149˙375 €
 EC max contribution 149˙375 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2019-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) coordinator 149˙375.00

Map

 Project objective

The Hi-OMICS PoC aims to pave the road to commercialisation of the Hi-OMICS Controller, a Software Defined Infrastructure Controller (SDI) specifically designed to efficiently manage Computational Genomics workloads running on upcoming SDI platforms.

The necessary activities to achieve this status are structured in two blocks: 1) Market analysis, Commercialisation Plan and the definition and implementation of a IPR protection plan for the Hi-OMICS Controller; and 2) Software development efforts to bring Hi-OMICS Controller to a Commercial Readiness Level 6.

The PoC will build on top of the research conducted within the Hi-EST project (ERC Starting Grant, GA 639595). It will close the gap between the research results of the Hi-EST Starting grant and the production of a commercial software solution (Hi-OMICS Controller) for the Computational Genomics sector. In particular, the solution will target facilities running Computational Genomics pipelines for genomic or transcriptomic sequences derived mostly, but not only, from Next Generation Sequencing. The result of this effort will be the achievement of a market-ready Hi-OMICS Controller.

 Publications

year authors and title journal last update
List of publications.
2019 Nicola Cadenelli, Zoran Jaks̆ić, Jordà Polo, David Carrera
Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads
published pages: 148-159, ISSN: 0167-739X, DOI: 10.1016/j.future.2018.11.028
Future Generation Computer Systems 94 2020-03-26

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The information about "HI-OMICS" are provided by the European Opendata Portal: CORDIS opendata.

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