The dereplication workflow described hereafter and applied to the chemical profiling of Larix decidua (Pinaceae) bark ethyl acetate crude extract is based on the combination of LC-HRMS 2 and 13 C NMR data to annotate as many NPs as possible with the highest confidence level. First, barks were ground to powder and then macerated with EtOAc to obtain a crude extract with a mass yield of 6.2 %. A 3.81 g portion of this extract was submitted to centrifugal partition chromatography (CPC) fractionation, leading to 12 chemically simplified fractions. These fractions were submitted to LC-HRMS 2 and to 13 C NMR analysis. The resulting data were subjected to processing and visualisation procedures. The HRMS 2 data were presented as molecular networks, using Ion Identity Molecular Network (IMN), Feature-Based Molecular Network (FBMN), and Propagated Annotation Network (NAP) workflows. 13 C NMR data were analysed by hierarchical cluster analysis after chemical shift alignment, and the resulting chemical shift clusters were visualised as a heatmap. The HRMS 2 and NMR data were then annotated using spectral comparison with structures contained in a custom DB created by selecting structures from the LOTUS DB according to taxonomic criteria and with the help of in silico, experimental and de novo elucidation tools. The results from both workflows were compiled, then ranked and finally a confidence score was assigned to each annotation using a script developed for this purpose.