Explore the words cloud of the MRG-GRammar project. It provides you a very rough idea of what is the project "MRG-GRammar" about.
The following table provides information about the project.
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
|Coordinator Country||Israel [IL]|
|Total cost||3˙999˙661 €|
|EC max contribution||3˙999˙661 € (100%)|
1. H2020-EU.1.2.1. (FET Open)
|Duration (year-month-day)||from 2015-08-01 to 2018-07-31|
Take a look of project's partnership.
|1||TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY||IL (HAIFA)||coordinator||902˙000.00|
|2||EUROPEAN MOLECULAR BIOLOGY LABORATORY||DE (HEIDELBERG)||participant||850˙848.00|
|3||WEIZMANN INSTITUTE OF SCIENCE||IL (REHOVOT)||participant||721˙273.00|
|4||KAROLINSKA INSTITUTET||SE (STOCKHOLM)||participant||716˙138.00|
|5||GENOME RESEARCH LIMITED||UK (LONDON)||participant||581˙651.00|
|6||IMPASARA LIMITED||UK (LONDON)||participant||189˙000.00|
|7||AGILENT TECHNOLOGIES LDA ISRAEL LTD||IL (PETACH TIKVA)||participant||38˙750.00|
MRG-GRammar aims to devise an entirely new strategy for deciphering the regulatory rules of gene regulation. We will leverage Synthetic Biology with cutting-edge DNA synthesis technologies and high-throughput analysis to generate new types of biological datasets that systematically explore all possible regulatory landscapes rather than just the naturally occurring regulatory sequences. The extensive and unbiased nature of these unique datasets will allow us to build new models explaining different aspects of regulatory activity, which will be tested in second-generation libraries, designed based on model predictions. Consequently, through such an iterative process, we expect to make a significant breakthrough in deciphering, and evolving, the regulatory code. Our strategy synergizes four orthogonal objectives that will form a new knowledge base from which the regulatory algorithm can be derived. We will employ our strategy on diverse model organisms from the tree of life, from single cell to whole organism: bacteria, yeast, mouse ex-vivo cells, human cell-lines and finally, whole D. melanogaster and mouse embryos. We expect this multidisciplinary synthetic biology approach to generate a major technological advance, which will provide the community with algorithms that will not only decipher extant natural regulatory code, but also interpret variations leading to a profoundly deeper understanding of the origins of many diseases. We expect our models to also serve as a reference in designing and implementing accurate and more controllable synthetic biology devices, with applications in fuel production, healthcare and other industrial fields. Thus, our ultimate goal is to substantially accelerate the advance of technologies and knowledge related to generating systematic and personal therapeutic solutions based on the analysis of each individual's natural genomic variations.
Take a look to the deliverables list in detail: detailed list of MRG-GRammar deliverables.
|year||authors and title||journal||last update|
Edward Vitkin, Oz Solomon, Sharon Sultan, Zohar Yakhini
Genome-wide analysis of fitness data and its application to improve metabolic models
published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-018-2341-9
|BMC Bioinformatics 19/1||2019-05-29|
Eileen E. M. Furlong, Michael Levine
Developmental enhancers and chromosome topology
published pages: , ISSN: 1095-9203, DOI: 10.1126/science.aau0320
Lior Levy, Leon Anavy, Oz Solomon, Roni Cohen, Michal Brunwasser-Meirom, Shilo Ohayon, Orna Atar, Sarah Goldberg, Zohar Yakhini, Roee Amit
A Synthetic Oligo Library and Sequencing Approach Reveals an Insulation Mechanism Encoded within Bacterial Ïƒ 54 Promoters
published pages: 845-858, ISSN: 2211-1247, DOI: 10.1016/j.celrep.2017.09.063
|Cell Reports 21/3||2019-04-03|
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