A Study in Hadoop Streaming with Matlab for NMR data processing

Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven sci-entific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR) data analysis which normally consists of large amounts of data. Biologists often use third party or commercial soft-ware for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their pur-poses. Although this is true, they are familiar with special software packages that allow them to write complex calcu-lations with minimum effort, but are often not compatible with a Cloud environment. Therefore, biologists who are trying to perform analysis on NMR data, acquire many ad-vantages due to our proposed solution. Our solution gives them the flexibility to Cloud-enable their familiar software and it also enables them to perform calculations on a signif-icant amount of data that was not previously possible. Our study is also applicable to any other environment in need of similar flexibility. We are currently in the initial stage of developing a framework for NMR data analysis.