Comprehensive analysis of small RNA sequencing Data

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  • License: MIT License (MIT)
  • Author: Arun Patil and Marc Halushka
  • Tags miRge, small RNA analysis, NGS, bioinformatics tools, GUI
  • Requires: Python >=3.7
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install with bioconda https://anaconda.org/bioconda/mirge3/badges/latest_release_date.svg https://camo.githubusercontent.com/ec0ce88c34009d95029a49d265b89d03d9357ed953885164d6e037c1ccb8892b/68747470733a2f2f696d672e736869656c64732e696f2f636f6e64612f646e2f62696f636f6e64612f6d69726765332e737667 install with docker

miRge3.0

An update to Python package to perform comprehensive analysis of small RNA sequencing data, including miRNA annotation, A-to-I editing, novel miRNA detection, isomiR analysis, visualization through IGV, processing Unique Molecular Identifieres (UMI), tRF detection and producing interactive graphical output.

miRge3.0 is developed in python v3.8 and is a recent update of our previous version miRge2.0. This build includes command line interface (CLI) and cross-platform Graphical User Interface (GUI). For more details refer to documentation link below.

Citation

Arun H Patil, Marc K Halushka. miRge3.0: a comprehensive microRNA and tRF sequencing analysis pipeline. NAR Genomics and Bioinformatics. 2021.

Project details

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Avatar for marc_halushka from gravatar.com marc_halushka

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Project links
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  • License: MIT License (MIT)
  • Author: Arun Patil and Marc Halushka
  • Tags miRge, small RNA analysis, NGS, bioinformatics tools, GUI
  • Requires: Python >=3.7
Classifiers

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