Explore the words cloud of the MoDATS project. It provides you a very rough idea of what is the project "MoDATS" about.
The following table provides information about the project.
THE UNIVERSITY OF EDINBURGH
|Coordinator Country||United Kingdom [UK]|
|Total cost||195˙454 €|
|EC max contribution||195˙454 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2016-01-05 to 2018-01-19|
Take a look of project's partnership.
|1||THE UNIVERSITY OF EDINBURGH||UK (EDINBURGH)||coordinator||195˙454.00|
Gene expression is the fundamental process that in all cells produces functional protein from a genomic DNA template using a messenger RNA (mRNA) intermediate. Eukaryotic gene expression involves transcription--the polymerization of mRNA--and splicing--the removal of non-coding regions from the mRNA. Recent evidence shows that nascent mRNAs are spliced while still being transcribed, not after completion of transcription, and that splicing machinery regulates transcription. This cross-talk complicates understanding of gene expression, as its mechanism and consequences are not understood. This project proposes using model-based data analysis, applied to multiple types of data, to study the kinetics of coupled transcription and splicing.
Model-based data analysis is a statistical framework in which models are formulated as probability distributions encoding the stochastic interactions between components, including observed data. Knowledge of the underlying mechanism--here, biological--is used to quantify both the phenomenon, and the uncertainty resulting from partial knowledge and noisy observations. The need for such analysis is acute in modern biology: decades of molecular biology have yielded detailed information on specific molecules and pathways, and now next-generation sequencing (NGS) allows scientists to collect gigabytes of data on thousands of distinct molecules simultaneously. Yet, integrating these approaches is challenging: biologists struggle to analyze NGS data in ways that give insight into known--and previously unknown--biological mechanisms.
Here, the model-based data analysis paradigm will be used to interrogate the interplay of transcription and splicing, using state-of the art data including time-resolved NGS measurements of RNA processing. Working with experimentalists, we will quantify the kinetics of splicing in constitutive genes by labeling nascent transcripts, and estimate the effect of splicing on polymerase elongation genome-wide.
|year||authors and title||journal||last update|
Edward W.J. Wallace, Jean D. Beggs
Extremely fast and incredibly close: cotranscriptional splicing in budding yeast
published pages: 601-610, ISSN: 1355-8382, DOI: 10.1261/rna.060830.117
Oana Carja, Tongji Xing, Edward W. J. Wallace, Joshua B. Plotkin, Premal Shah
riboviz: analysis and visualization of ribosome profiling datasets
published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-017-1873-8
|BMC Bioinformatics 18/1||2019-06-18|
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MODATS" 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 (email@example.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 "MODATS" are provided by the European Opendata Portal: CORDIS opendata.
Positive and Negative Asymmetry in Intergroup Contact: Its Impact on Linguistic Forms of Communication and Physiological ResponsesRead More
Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and IconographyRead More
Contraception meets the environment: everyday contraceptive practices, politics, and futures in a toxic ageRead More