Elhanan Borenstein, Ph.D.

Dept of Genome Sciences
University of Washington

3720 15th Ave NE
Foege Building, S103B
Box 355065
Seattle, WA 98195-5065

Phone: (206) 685-8165
Fax: (206) 685-7301



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.