Systems biologists collect large quantities of data from wet lab experiments and high-throughput platforms & also from public database resources in the interest of probing their biological process of interest. Thus, technologies used for extracting useful information from the data are, Laboratory Information Management Systems (LIMS), Bioinformatics pipelines & Database frameworks. LIMS is used to manage laboratory workflow; track samples through a multi-step data collection protocol, perform quality control, monitor supply usage and capture costs. The goal of an LIMS is to ensure that the best possible data are collected, with minimal errors due to sample mix-up or insufficient maintenance of the equipment. Bioinformatics pipelines are used to convert raw data into data-types that researchers can use for analyses. Bearing in mind that data that is considered raw from one perspective might be rather cooked from another, and a wide variety of bioinformatics pipelines are used to collect, extract, store & interpret data at several different levels of analysis. Database frameworks serve to store data, allow data access by query and, in some cases, facilitate data curation.