Opendata, web and dolomites

PANGAIA SIGNED

Pan-genome Graph Algorithms and Data Integration

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "PANGAIA" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA 

Organization address
address: PIAZZA DELL'ATENEO NUOVO 1
city: MILANO
postcode: 20126
website: www.unimib.it

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 Italy [IT]
 Total cost 1˙140˙800 €
 EC max contribution 1˙140˙800 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2019
 Funding Scheme MSCA-RISE
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA IT (MILANO) coordinator 197˙800.00
2    GENETON S.R.O. SK (BRATISLAVA) participant 322˙000.00
3    UNIVERSITAET BIELEFELD DE (BIELEFELD) participant 202˙400.00
4    INSTITUT PASTEUR FR (PARIS CEDEX 15) participant 147˙200.00
5    STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN NL (UTRECHT) participant 142˙600.00
6    UNIVERZITA KOMENSKEHO V BRATISLAVE SK (BRATISLAVA) participant 128˙800.00
7    ILLUMINA CAMBRIDGE LTD UK (GREAT ABINGTON) participant 0.00
8    CORNELL UNIVERSITY US (ITHACA NY) partner 0.00
9    NATIONAL UNIVERSITY CORPORATION THEUNIVERSITY OF TOKYO JP (TOKYO) partner 0.00
10    Simon Fraser University CA (BURNABY) partner 0.00
11    The Pennsylvania State University US (University Park) partner 0.00

Map

 Project objective

Genomes are strings over the letters A,C,G,T, which represent nucleotides, the building blocks of DNA. In view of ultra-large amounts of genome sequence data emerging from ever more and technologically rapidly advancing genome sequencing devices—in the meantime, amounts of sequencing data accrued are reaching into the exabyte scale—the driving, urgent question is: how can we arrange and analyze these data masses in a formally rigorous, computationally efficient and biomedically rewarding manner? Graph based data structures have been pointed out to have disruptive benefits over traditional sequence based structures when representing pan-genomes, sufficiently large, evolutionarily coherent collections of genomes. This idea has its immediate justification in the laws of genetics: evolutionarily closely related genomes vary only in relatively little amounts of letters, while sharing the majority of their sequence content. Graph-based pan-genome representations that allow to remove redundancies without having to discard individual differences, make utmost sense. In this project, we will put this shift of paradigms—from sequence to graph based representations of genomes—into full effect. As a result, we can expect a wealth of practically relevant advantages, among which arrangement, analysis, compression, integration and exploitation of genome data are the most fundamental points. In addition, we will also open up a significant source of inspiration for computer science itself.

 Deliverables

List of deliverables.
Kick-off meeting report Other 2020-03-06 16:00:11

Take a look to the deliverables list in detail:  detailed list of PANGAIA deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PANGAIA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PANGAIA" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.3.)

HOPE (2019)

automatic detection and localization of High frequency Oscillation in Paediatric Epilepsy

Read More  

SmartShip (2019)

A data analytics, decision support and circular economy – based multi-layer optimisation platform towards a holistic energy efficiency, fuel consumption and emissions management of vessels

Read More  

VIDEC (2020)

Visualizing Death Inducing Protein Complexes

Read More