COMPSRA: a COMprehensive Platform for Small RNA-Seq data Analysis

被引:0
作者
Jiang Li
Alvin T. Kho
Robert P. Chase
Lorena Pantano
Leanna Farnam
Sami S. Amr
Kelan G. Tantisira
机构
[1] The Channing Division of Network Medicine,
[2] Department of Medicine,undefined
[3] Brigham & Women’s Hospital and Harvard Medical School,undefined
[4] Boston Children’s Hospital,undefined
[5] Harvard T.H. Chan School of Public Health,undefined
[6] Partners Personalized Medicine,undefined
[7] Division of Pulmonary and Critical Care Medicine,undefined
[8] Department of Medicine,undefined
[9] Brigham and Women’s Hospital,undefined
[10] and Harvard Medical School,undefined
来源
Scientific Reports | / 10卷
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摘要
Small RNA-Seq is a common means to interrogate the small RNA’ome or the full spectrum of small RNAs (<200 nucleotide length) of a biological system. A pivotal problem in NGS based small RNA analysis is identifying and quantifying the small RNA’ome constituent components. For example, small RNAs in the circulatory system (circulating RNAs) are potential disease biomarkers and their function is being actively investigated. Most existing NGS data analysis tools focus on the microRNA component and a few other small RNA types like piRNA, snRNA and snoRNA. A comprehensive platform is needed to interrogate the full small RNA’ome, a prerequisite for down-stream data analysis. We present COMPSRA, a comprehensive modular stand-alone platform for identifying and quantifying small RNAs from small RNA sequencing data. COMPSRA contains prebuilt customizable standard RNA databases and sequence processing tools to enable turnkey basic small RNA analysis. We evaluated COMPSRA against comparable existing tools on small RNA sequencing data set from serum samples of 12 healthy human controls, and COMPSRA identified a greater diversity and abundance of small RNA molecules. COMPSRA is modular, stand-alone and integrates multiple customizable RNA databases and sequence processing tool and is distributed under the GNU General Public License free to non-commercial registered users at https://github.com/cougarlj/COMPSRA.
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