SPRINT

The Simple Parallel R INTerface (SPRINT) is a valuable software tool that enables biostatisticians to easily exploit High-Performance Computing (HPC) systems to analyze genomic data. The analysis of the data generated by microarray analysis, which allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples, tests the limits of existing bioinformatics computing infrastructure. To exploit HPC systems, R must be able to utilize the multiple processors available on these systems. Although existing modules enable R to use multiple processors, they are either difficult to use for the HPC novice or cannot be used to solve certain classes of problems. A method of exploiting HPC systems, using R, without the need to master parallel programming paradigms, is required to analyze genomic data to its fullest.

The Simple Parallel R INTerface (SPRINT) is a valuable software tool that enables biostatisticians to easily exploit High-Performance Computing (HPC) systems to analyze genomic data. The analysis of the data generated by microarray analysis, which allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples, tests the limits of existing bioinformatics computing infrastructure. To exploit HPC systems, R must be able to utilize the multiple processors available on these systems. Although existing modules enable R to use multiple processors, they are either difficult to use for the HPC novice or cannot be used to solve certain classes of problems. A method of exploiting HPC systems using R, without the need to master parallel programming paradigms, is required to analyze genomic data to its fullest.

Topic

RNA;RNA-seq;Nucleic acid sites, features and motifs;Molecular genetics

Detail

  • Operation: Nucleic acid site detection

  • Software interface: Command-line user interface

  • Language: Python

  • License: MIT License

  • Cost: Free

  • Version name: 0.1.8

  • Credit: the edikt2 initiative (SFC grant).

  • Input: -

  • Output: -

  • Contact: weidong.tian@fudan.edu.cn

  • Collection: -

  • Maturity: -

Publications

Download and documentation


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