The biology we study is constrained by the biology we can measure. The solution to this problem isn’t more reproducibility—It’s orthogonal validation using different measurement approaches.
Very insightful, really like the way you explain the crisis of reproducibility. As a student, this gives a lot of food for thought while hypothesizing for projects!
Thank you for taking the time to read this and provide feedback. I'm glad to hear this gives you some food for thought. Do you have a specific line of research you're interested in, or are you still scoping out potential areas of interest?
I'm still scoping out an area of interest. Right now I am working on designing viral vectors for gene therapy. I really like doing translational work but guiding vector generation using sequence data is proving really challenging!! I hope to achieve some success in this area soon!
Thank you, I appreciate the feedback! Out of curiosity, how have you previously addressed this issue when both of those types of data were made available? Something I've found challenging to wrestle with is the fact that both types of data are often collected at the same time point, so there's the additional layer of complexity in that we're essentially working with proteomic data that reflects current protein abundance and transcriptomic data that should, in theory, reflect future protein abundance.
Very insightful, really like the way you explain the crisis of reproducibility. As a student, this gives a lot of food for thought while hypothesizing for projects!
Thank you for taking the time to read this and provide feedback. I'm glad to hear this gives you some food for thought. Do you have a specific line of research you're interested in, or are you still scoping out potential areas of interest?
I'm still scoping out an area of interest. Right now I am working on designing viral vectors for gene therapy. I really like doing translational work but guiding vector generation using sequence data is proving really challenging!! I hope to achieve some success in this area soon!
Hoping to see computational biology does more in contributing the measurement of the data!!!
Thank you, I appreciate the feedback! Out of curiosity, how have you previously addressed this issue when both of those types of data were made available? Something I've found challenging to wrestle with is the fact that both types of data are often collected at the same time point, so there's the additional layer of complexity in that we're essentially working with proteomic data that reflects current protein abundance and transcriptomic data that should, in theory, reflect future protein abundance.