A complete systems biology analysis requires the integration of different levels of omic information. C. elegans is an ideal model organism to develop systems biology methods because of the ease of culturing, the ability for genetic manipulation, and the wealth of existing information generated over decades of study. There are several approaches that one could take to relate the metabolome to the genome, including the use of existing mutants in metabolic pathways, targeting pathways of interest using CRISPR/Cas9 or RNAi, or the use of recombinant inbred lines (RILs). In this methods development study, we used 12 RILs generated by the Andersen lab from parental N2 and Hawaiian (CB4856) strains. These have been sequenced and analyzed by several different methods in the Andersen lab. For our study design, we grew 6 independent biological replicates from each of the 12 RIL strains collected at two time points for a total of 144 samples. These were started from synchronous populations and extracted at two separate time points (6 replicates each) in an effort to distinguish metabolite differences at different developmental stages of the organism. The final populations are “semi-synchronous” and represent distributions of developmental stages, which are then characterized by a COPAS Biosorter. The extracted samples are analyzed using a combination of NMR and LC-MS to obtain metabolomic and glycomic information, which will be deconvoluted into developmental stages. The spectral data are processed and statistically analyzed using a MATLAB metabolomics toolbox used by the Edison Lab. We will report the initial analysis, identification, and quantification of metabolites as a function of genotype and development. This pilot study is the first step in the generation and refinement of mapping the differences in metabolic pathways of C. elegans to differences in the genetic make-up of the organism, which will require greater numbers of genetic lines.