Description

The area of metabolomics has broadened over the last decade with growing popularity in numerous applications. Nonetheless, ultimate challenges still persist in both interpreting and gathering metabolomics data. To date, there is no such interface, software or online tool that can accomplish all the analysis for metabolite identification of LC-MS data in a single package. In response to overcome these challenges, I have made an interface that makes use of the available popular online web-based tools in the area of the metabolomics environment. The interface that I made is called the LC-MS/MS Pipeline which is an Excel based Interface for the analysis of LC-MS data. Considering, the study of LC-MS data being a huge approach, the pipeline that I have made comprises of four modules. Although the pipeline that I made utilizes the assistance of the online based tools to generate its results and does not have any database of its own, it can still achieve all the required analysis for the LC-MS data with just a click of a button and, moreover, it is user-friendly.