Zanfardino, Mario (2016) A DISTRIBUTED ENVIRONMENT FOR HIGH THROUGHPUT SEQUENCING AND OTHER BIOINFORMATIC DATA ANALYSIS. [Tesi di dottorato]
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| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | A DISTRIBUTED ENVIRONMENT FOR HIGH THROUGHPUT SEQUENCING AND OTHER BIOINFORMATIC DATA ANALYSIS |
| Autori: | Autore Email Zanfardino, Mario mario.zanfardino@gmail.com |
| Data: | 31 Marzo 2016 |
| Numero di pagine: | 54 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Medicina Molecolare e Biotecnologie Mediche |
| Scuola di dottorato: | Biotecnologie |
| Dottorato: | Biologia computazionale e bioinformatica |
| Ciclo di dottorato: | 28 |
| Coordinatore del Corso di dottorato: | nome email Cocozza, Sergio sergio.cocozza@unina.it |
| Tutor: | nome email Paolella, Giovanni [non definito] |
| Data: | 31 Marzo 2016 |
| Numero di pagine: | 54 |
| Parole chiave: | Distributed data analysis |
| Settori scientifico-disciplinari del MIUR: | Area 05 - Scienze biologiche > BIO/10 - Biochimica |
| Depositato il: | 13 Apr 2016 20:51 |
| Ultima modifica: | 31 Ott 2016 09:27 |
| URI: | http://www.fedoa.unina.it/id/eprint/11011 |
Abstract
The fast growth of data produced by modern biomedical studies and the related increasing demand for bioinformatic data processing, make it necessary to optimally use the available hardware and software resources. This growth is such that, despite the fast growth in processor and storage ability, single local computers are unable to keep up with the data and current advances in genome sequencing technology will produce genome-sequence data more quickly than the speed and rate at which processors are getting faster. With the architectures described in the introduction, great progress is being made in biological data processing and today they are commonly used in order to solve computationally intensive problems by sophisticated bioinformatic tools and pipelines, but there is still need for better interfaces able to integrate tools of different origin and to upload processing to remote servers. In this work, a platform has been designed, to integrate applications of different type and to isolates services and databases from one another by providing a middle service layer which has the potential to have significant advantages in the development of bioinformatic data processing system. In particular, an Enterprise service bus architecture has been considered as a possible platform around which a full data processing system might be centred. This type of architecture is intrinsically able to integrate different service resources through a bus-like infrastructure and provides significant features such as lightweight interfacing and easy expansion.
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