Welcome to tmap’s documentation!¶
What is tmap?¶
For large scale and integrative microbiome research, it is expected to apply advanced data mining techniques in microbiome data analysis.
Topological data analysis (TDA) provides a promising technique for analyzing large scale complex data. The most popular Mapper algorithm is effective in distilling data-shape from high dimensional data, and provides a compressive network representation for pattern discovery and statistical analysis.
tmap is a topological data analysis framework implementing the TDA Mapper algorithm for population-scale microbiome data analysis. We developed tmap to enable easy adoption of TDA in microbiome data analysis pipeline, providing network-based statistical methods for enterotype analysis, driver species identification, and microbiome-wide association analysis of host meta-data.
How to Install tmap?¶
To install tmap, run:
# (recommend) git clone https://github.com/GPZ-Bioinfo/tmap.git cd tmap python setup.py install # For some dependency problems. please install following packages. pip install scikit-bio R -e "install.packages('vegan',repo='http://cran.rstudio.com/')"
Or using pip:
pip install tmap # it may not the latest version, so be carefull for it.
If you encounter any error like
Import error: tkinter, you need to run
sudo apt install python-tk or
sudo apt install python3-tk.
For more convenient usage, we implement some executable scripts which will automatically build upon
$PATH. For more information about these scripts, you could see.
Indices and tables¶
tmap Quick Guides¶
- You can read the Basic Usage of tmap for general use of tmap.
- Or follow the Microbiome examples for using tmap in microbiome analysis.
Liao, T., Wei, Y., Luo, M. et al. tmap: an integrative framework based on topological data analysis for population-scale microbiome stratification and association studies. Genome Biol 20, 293 (2019) doi:10.1186/s13059-019-1871-4