Making Sense of Proteomic Data Pipelines
Infographic Mar 05, 2019
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
Predicting the future isn’t straightforward, but efforts to move research forward are happening in the here and now, and we can look to technologies in their infancy today that promise to become essential parts of research practice tomorrow. This infographic will investigate some of these technologies and the impact they could have on research.