I've been following BioStar for a while now and I've noticed the conspicuous lack of any proteomics questions.
For many years I've heard within the field that the main bottleneck of proteomics progress is informatics. But in spite of proteomics being heavily funded why this lack of interest in proteomics.
Potential factors that can contribute:
(I'm not affirming all these factors are happening, I'm just giving ideas)
- Proteomics informaticians are not rewarded by usability of their software but only by publications. Other bioinformatics fields went through this step. Usability of proteomics software is still not important. There is no interest in real software only proof-of-concepts.
- There are many proteomics informaticians but they don't have the inclination to share knowledge because it took too long to learn the idiosyncrasies and want to keep their exclusivity.
- Proteomics data is inherently much more complex than genomics/pathway data. The reward of mastering proteomics data doesn't pay off. Very few bioinformaticians want to get into it.
- Current proteomics software is awful. It's impossible to innovate using the current software as a foundation. PIs/experimentalists/employers always demand to build software on top of this crappy software, there is no
- Mass Spec vendors with their propietary formats make impossible to build something on top of their software.
- There are no proteomics informaticians because employers don't know how to recruit and manage bioinformaticians.
- Proteomics is highly politicized. The moment an external bioinformaticians shows an alternative approach he/she is driven off by the proteomics community who sees the newcomer as a threat. All the funding goes to people who maintain the status quo.
- There are many proteomics informaticians but they are too stressed to spend time on BioStar. If they are too stressed is because there is too much work for very few people. So this is not a real factor, why there are so few.
Have you experienced any of these factors? Why there is no interest in proteomics informatics? How do you see proteomics informatics from outside?
Daniel Standage pointed out the lack of public accesible data compared to genomics.