Our favourite is conda, a cross-platform tool to manage Python environments. We recommend using virtual environments to manage your Python installation. MultiQC needs Python version 2.7+, 3.4+ or 3.5+. To see if you have python installed, run python -version on the command line. Step back and think about Python virtual environments / conda instead (see below). If you find yourself prepending sudo to any MultiQC commands, take a ![]() This often causes problems and it's a little risky to mess Installing MultiQC System Pythonīefore we start - a quick note that using the system-wide installation of Python It also saves a directory of dataįiles with all parsed data for further downstream use. Generates a single stand-alone HTML report file. It parses relevant information from these and When you launch MultiQC, it recursively searches through any provided file pathsĪnd finds files that it recognises. ![]() It's designed to be placed at the end of analysis pipelines or to be run manually MultiQC doesn't run other tools for you. MultiQC is a reporting tool that parses summary statistics from results and log files
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