Home Research People Publications Software Download Courses Photos Contact Elhanan Borenstein, Ph.D. MUSiCC MUSiCC is a software package for normalizing and correcting gene abundance measurements derived from metagenomic shotgun sequencing and is available as an online tool (MUSiCC>Web) and as a Python module (MUSiCC>Python). » MUSiCC>Web   Normalize and correct your gene abundance data online. » MUSiCC>Web>Manual   Learn how to use MUSiCC>Web in your analysis. » MUSiCC>Python (GitHub; pip-installable)   Download the Python module to add MUSiCC's functionality to your custom analysis programs. Understanding the MUSiCC Analysis MUSiCC is a software package for normalizing and correcting gene abundance measurements derived from metagenomic shotgun sequencing. For intra-sample gene normalization, it uses a set of genes that are universally present in a single copy in every organism to learn a normalizing factor for each sample. For inter-sample gene correction, it uses a gene-specific model that was trained using data from the Human Microbiome Project to correct the abundances of the genes in the given data. MUSiCC takes as input a raw gene abundance file, and returns a normalized and corrected gene abundance file. If you are using MUSiCC please cite the following paper: Ohad Manor and Elhanan Borenstein, MUSiCC: A marker genes based framework for metagenomic normalization and accurate profiling of gene abundances in the microbiome. Genome Biology, 16:53, 2015.