|
Descripción
|
|
|---|---|
| Next Generation DNA/RNA Sequencing studies produce big amount of data that need to be analyzed with proper computation infrastructure that is not always available for all research centers or universities. Expressional analysis derived from RNA sequencing (RNA-seq) of forest trees is particularly challenging, because the massive genome length (~23.2 Gbp for loblolly pine) and the absence of reference genomes require specific pipelines to obtain sound biological results. The cloud computing paradigm makes economically affordable the implementation of such pipelines. If an algorithm can be made to run efficiently on many loosely coupled processors implementing it as a cloud application, makes it particularly easy to exploit the resources offered by large utility-computing services, such as the Amazon?s Elastic Compute Cloud. | |
|
Internacional
|
No |
|
Entidad
|
|
|
Lugar
|
|
|
Páginas
|
|
|
Referencia/URL
|
|
|
Tipo de publicación
|
Tesis de Master |