Many gene selection algorithms have been applied in gene expression data analysis successfully. To solve different developing environments of these toolkits, such as rankgene (Su et al., 2003), and mRMR (http://research.janelia.org/peng/proj/mrmr/index.htm), perform data analysis and make algorithm comparison more flexible, we have developed a software package LIBGS including: 1) Seven new gene selection algorithms implemented using MATLAB. 2) MATLAB interface for Rankgene. 3) MATLAB interface for LIBSVM and WEKA. 4) Programs for converting data formats. 5) A collection of six popular gene expression data sets. These features make LIBGS a useful tool in gene expression analysis and feature selection.