> For the complete documentation index, see [llms.txt](https://nks.gitbook.io/rna-seq/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nks.gitbook.io/rna-seq/1.-preface/genomic-data-science-as-a-tool-to-biologist.md). # Genomic data science as a tool to biologist I believe that science is all about hypothesis testing. But the hypothesis that I am talking about here is a bit different from the way statisticians would like to put. For example, ![](https://user-images.githubusercontent.com/30200862/136685805-b14ea82b-ece5-4376-b5d8-3c2a1eee8452.png) Wait a second, what's the deal here? They could be essentially the same at some level. So the criticality lies in how to validate the conclusion. For the former I might want to perform any sort of quantifiable PCR to validate the expression, but for the latter I would like to see what if I use other treatment and what if I assess at different molecular level such as protein and/or other clinically/physiologically related phenotype. The way you phrase your hypothesis dictates your research directions and methods, and thus output. I am not saying who is better than who, I am saying that we should all work together. In my journey of self-educating to use the NGS tools, Mathematicians tends to create new terminology to suit their needs on some well-known "things", such as the "summarizing transcriptome to gene level" conversion used widely in DESeq2 related discussion. So sometimes I am also confused, in which line of professions or methodology that I am using to solve a natural science question which is universal to every single living things on the Earth. I mean, should I even need to worry about that when if we all are heading to the same Rome? --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://nks.gitbook.io/rna-seq/1.-preface/genomic-data-science-as-a-tool-to-biologist.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.