Explore the words cloud of the LineageDiscovery project. It provides you a very rough idea of what is the project "LineageDiscovery" about.
The following table provides information about the project.
Coordinator |
WEIZMANN INSTITUTE OF SCIENCE
Organization address contact info |
Coordinator Country | Israel [IL] |
Project website | http://www.weizmann.ac.il/math/Shapiro/ |
Total cost | 2˙250˙000 € |
EC max contribution | 2˙250˙000 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2014-ADG |
Funding Scheme | ERC-ADG |
Starting year | 2015 |
Duration (year-month-day) | from 2015-09-01 to 2020-07-31 |
Take a look of project's partnership.
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1 | WEIZMANN INSTITUTE OF SCIENCE | IL (REHOVOT) | coordinator | 2˙250˙000.00 |
Within a decade, advances in single-cell genomics would allow humanity to embark on a coordinated international effort to discover the human cell lineage tree. The goal of LineageDiscovery is to lay the biological, computational and architectural foundations for this envisioned project and demonstrate its feasibility and value. An organismal cell lineage tree is a rooted, labelled binary tree where nodes represent organism cells, edges represent progeny relations and labels capture cell state. The tree of an adult human has about 100 trillion nodes. Many fundamental open questions in biology and medicine are about the structure, dynamics and variance of the human cell lineage tree in development, health, ageing and disease. E.g., which cancer cells give rise to metastases? Do beta cells renew? Which progeny do brain stem cells produce in development, maintenance and ageing? LineageDiscovery is based on a decade of research on this challenge by Shapiro’s lab and others. It will develop an efficient biological-computational cell lineage discovery workflow that starts with sampled cells and ends with knowledge of their cell lineage tree; and a scalable architecture for the collaborative development and the distributed deployment of this workflow. The workflow will be based on emerging single-cell technologies and will include novel algorithms to analyse single-cell data, to reconstruct cell lineage trees, and to infer ancestral cell type and state dynamics. A programmable meta-system will be developed and used for workflow optimization and evaluation. The workflow and architecture will be deployed and tested in a broad range of proof-of-concept human cell lineage discovery experiments with self-funded collaborators. Successful execution of this research plan coupled with expected advances in single-cell genomics would establish both the feasibility and the value of the envisioned large-scale human cell lineage discovery project, ideally leading to its launch.
year | authors and title | journal | last update |
---|---|---|---|
2016 |
Tamir Biezuner, Adam Spiro, Ofir Raz, Shiran Amir, Lilach Milo, Rivka Adar, Noa Chapal-Ilani, Veronika Berman, Yael Fried, Elena Ainbinder, Galit Cohen, Haim M. Barr, Ruth Halaban, Ehud Shapiro A generic, cost-effective, and scalable cell lineage analysis platform published pages: 1588-1599, ISSN: 1088-9051, DOI: 10.1101/gr.202903.115 |
Genome Research 26/11 | 2019-07-05 |
2016 |
Adam Spiro, Ehud Shapiro eSTGt: a programming and simulation environment for population dynamics published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-016-1004-y |
BMC Bioinformatics 17/1 | 2019-07-05 |
2016 |
Ofir Raz, Tamir Biezuner, Adam Spiro, Shiran Amir, Lilach Milo, Alon Titelman, Amos Onn, Uriel Feige, Ehud Shapiro Short Tandem Repeat stutter model inferred from direct measurement of in vitro stutter noise published pages: , ISSN: 0028-0836, DOI: 10.1101/065110 |
bioRxiv | 2019-06-05 |
2016 |
Tamir Biezuner, Adam Spiro, Ofir Raz, Shiran Amir, Lilach Milo, Rivka Adar, Noa Chapal-Ilani, Veronika Berman, Yael Fried, Elena Ainbinder, Galit Cohen, Haim M. Barr, Ruth Halaban and Ehud Shapiro A generic, cost-effective, and scalable cell lineage analysis platform published pages: , ISSN: 1088-9051, DOI: 10.1101/gr.202903.115 |
Genome research | 2019-06-05 |
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The information about "LINEAGEDISCOVERY" are provided by the European Opendata Portal: CORDIS opendata.