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A python-based isomiR quantification and analysis pipeline that utilizes a number of recent and novel miRNA biological insights to produce useful analytics

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Gu-Lab-RBL-NCI/QuagmiR

 
 

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Summary:

MicroRNAs (miRNAs) function as a master regulator of gene expression. Recent studies demonstrate that miRNA isoforms (isomiRs) play unique roles during cancer development. Here, we present QuagmiR, the first cloud-based tool to analyze isomiRs from next generation sequencing data. Using a novel and flexible searching algorithm designated for the detection and annotation of isomiRs of heterogeneous nature. It permits extensive customization of the query process and reference databases to meet the user’s diverse demands.

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Availability and implementation:

QuagmiR is written in Python and can be obtained freely from Github (https://github.com/Gu-Lab-RBL-NCI/QuagmiR). QuagmiR can be run from command-line on local machines, as well as high performance servers. A web-accessible version of the tool has also been made available for use by academic researchers through the National Cancer Institute-funded Seven Bridges Cancer Genomics Cloud (https://cancergenomicscloud.org).

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A python-based isomiR quantification and analysis pipeline that utilizes a number of recent and novel miRNA biological insights to produce useful analytics

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