# For Biochemists & Scientists What results from the customization process we will implement for PWC owners, is a diverse sample set of user-selected strains. With the PWC, for example, we are able to obtain 4000 elements in our dataset, with multiple metrics for each. Fully operational, the PWC should allow us to gain an understanding of how pH, light spectra, nutrient concentration, and ultimately chemical composition change the character and flavor profile of your favorite strains. After customization is available, we would be able to gather data related to the various changes in the character of many different cultivars based on various conditions. \ \ We will also continuously test the market with a wide array of products so that we can begin to gather data related to the preferences of our customers. If a particular strain becomes highly desirable, we can look back at the composition of that strain, informed by mass spectrometry and genetic sequencing of a sample of its flower, and then identify the compounds related to the most prominent and acclaimed of its expressions. Over time, we should be able to develop a workflow that can allow for strains to be customized purely based on the kind of expression you enjoy with details related to strain type, terpene composition, and potency. \ \ Moving forward, we would identify the biosynthetic pathways that build such compounds through a high-throughput bioinformatics workflow, catalog the genetic information required to manipulate the expression using the CRISPR/Cas9 genome editing system, and potentially be able to craft any strain you may desire, no matter how rare, or by which meticulous process cultivated. In the future (or in the near), we may be able to provide anybody with any strain they choose, whenever they choose. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.thelochnessbotanicalsociety.com/use-cases/for-biochemists-and-scientists.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.