Data analysis represents a key challenge for untargeted metabolomics studies and it commonly requires extensive processing of more than thousands of metabolite peaks included in raw high-resolution MS data.Although a number of software packages have been developed to facilitate untargeted data processing,they have not been comprehensively scrutinized in the capability of feature detection,quantification and marker selection using a well-defined benchmark sample set.