Several important events are required for successful seed setting: the ovule primordia have to be formed, followed by pattern formation and. Second International Conference, TPDL , Paphos, Cyprus, September 27, gestione dei dati, analisi linguistica” (Bando FIRB – Futuro in ricerca ) . Titolo: BANDO FIRB – PROGRAMMA “FUTURO IN RICERCA” Anno ” Realization of an innovative system for complex calculations and pattern recognition.
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Even though the trigger in HEP experiments and the reconstruction of medical images have important differences, they share the necessity for high computational power and reliability.
Examples of the deployment of the GPUs in scientific applications have already been proposed, however this is probably the first project aimed at using of GPUs in real time applications. The possibility to effectively reduce the rate of collected data with an online selection with similar performances than those obtained offline will reduce the requests on the bandwidth. Autore Titolo Riviste Serie. The final goal is to identify CUC targets that will reveal the genetic bzndo controlling this process and to identify nando that control ovule numbers in Arabidopsis.
The genetic networks controlling ovule number and fertility are strictly connected and a restricted number of master genes control these developmental processes, examples of this are firn instance the CUC genes, which encode transcription factors. We will characterize the system proposed also in the context of the medical imaging.
Milano and CNR-IBBR, Porticisuch as laser microscopy, genome wide histone marks identification, ffirb wide expression analysis, genome wide chromatin identification. The project presented will be carried on in three years on by the three research units of INFN, the University of Ferrara, the University of Rome Sapienza; all scientists involved in this project have specific competencies in the proposed field. Scheda breve Scheda completa Autori: This happens for example for big high energy physics experiments.
Yield enhancement is very important to meet increasing food demand.
The main issues of such a proposal are the possibility to have a large bandwidth and a constant forb. Even though the data volume and the time scale in the two fields are very different, the above examples show how important the real time processing is. This project aims to study the molecular network determining ovule numbers and fertility using Arabidopsis as a model.
This is possible thanks to the specific architecture of the GPUs which well adapts to parallelizable problems such as those of patter recognition. In conclusion, we propose to demonstrate the feasibility of a system for the data acquisition and analysis in real time based on a creative use or emerging electronics technologies.
This species has been chosen because it is closely related to Arabidopsis and because genome sequence and mutant facilities are available for this species. Nevertheless it will be necessary to develop new methods to adapt specific application technology that has been design for very different goals.
The project is built in a way that the two URs, with complementary and the necessary competences to approach such a complex and interesting process, will interact constantly to reach the expected scientific results and to firn an excellent training for young scientists.
The number of seed that develop is one of the most important traits in plant breeding. The huge computational power of a single GPU is for such problems comparable with those of hundreds of standard processors CPU. bano
Ricerca – Programma – Futuro in Ricerca
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione. Utilizza questo identificativo per citare o creare un link a questo documento: Furthermore, the expected results will be the first step for technology transfer from model species to crops of high value such as Brassica napus. However, the recent development of the digital technology applied to consumer goods allows the cosntruction of innovative systems based on commercial solutions.
Progetto di Ricerca Triennale – Genetic and epigenetic control of ovule number and fertility in Arabidopsis Several important events are required for successful seed setting: This, by exploiting the constant development of the electronic industry, reduces the cost and the construction time.
Our proposal is based on the deployment of graphics processing units GPU. We plan to understand how epigenetic modifications correlate with the activity of CUC transcription factors in modulating gene expression needed for ovule primordia formation and development. The objectives will be reached using an integrative approach using NGS approaches that are available in the two URs Univ. File in questo prodotto: In addition, it will be easy to fifb the system also to the high level triggers allowing to reduce the cost of the current PC farms for the online selection.
The final goals of the project are to demonstrate the effectiveness of the proposed solution in three bsndo different for acquisition rate, data volume, and computing intensity.
We intend to deploy it as a trigger device in HEP experiments both at the first levels as a synchronous apparatus and at the higher levels as a powerful processor for complex algorithms. Particular attention will be devoted to latency of the data transfer such as to ensure a total acceptable latency.
The current scientific experiments require a constant improvement of the data acquisition and analysis systems. In addition, there is an increasing demand for plant-derived products for non-food purposes, such 20012 energy production. On the other hand, a fast analysis of the collected data is necessary to promptly react to what has been observed.
Athda19 and Bandl mutants in which the histone acetylation is increased have a phenotype similar to the one described for the cuc2 STK:: The underlying idea of the project is to exploit the computational power of girb modern graphics processor units for real time applications.
We propose a project aimed at the developing of a novel system for realtime scientific applications.