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Improvement of computational infrastructure for genomics and transcriptomics analyses


Hospital Sírio Libanês (HSL) understands that teaching and research activities are vital to the excellence, pioneering, quality of services and innovation in any institution. Beyond a decade, HSL has been investing consistently in basic and translational research in several areas of knowledge. In general, among the most important areas, those related to Oncology, Molecular Biology, Genomics and Bioinformatics deserve a highlight. The common denominator among all these areas is the need for high-performance computing to analyze a significant part of the data generated data and results obtained. For example, a major part of projects in genomics and molecular oncology involve analysis of DNA sequencing, which are performed by complex algorithms (or pipelines) that require a robust computational structure. Aware that the resources of the Institutional Technical Reserve (RTI) granted by FAPESP aims to support the establishment of a research infrastructure that benefits researchers and Research projects supported by FAPESP, we request the use of this RTI to improve the computational infrastructure of computational servers in our research institute. Specifically, we intend to acquire a great computer to carry out comprehensive and integrated analysis of data generated in the aforementioned areas. Among the analyzes, those related to the processing of genome and transcriptome data from next-gen-sequencing platforms stand out. It is worth mentioning that roughly all supported FAPESP projects at our institution require computer analyses and they will benefit from this structure. It is also worth noting that we have a technical structure to host this machine (in a state-of-the-art Datacenter) and specialized technicians to operate and maintain it. For all these reasons, we believe that the approval of this project will benefit all researchers in our institution and leverage the quality of the computational analysis that we perform. (AU)

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