Proteomics research relies on complex technological equipment and yields large amounts of data that are challenging to process. A data pipeine ensures that proteomic data can be handled efficiently, allows analysts to effectively answer questions from the data, and enables data to be captured and stored for future dissemination.
Download this infographic to learn more about:
- The types of data we can obtain in proteomics research
- Why data pipelines are necessary in proteomics research
- What steps are involved in a typical proteomics pipeline
- Commonly used softwares in proteomics data pipelines