Data workflows in biology labs will become more streamlined as mainstream software is adopted and network affects kick in
Data workflows in biology labs will become more streamlined as mainstream software is adopted and network affects kick in.
Lab data & automation platforms will become increasingly important as more scientists end up establishing and consolidating workflow and data processing norms along with their work, rather than one-off pieces of software. Generally the goal of these companies is to use software to move biology research into the design, test, and build format of development. The LIMS market alone is currently at 815M (source), and things like genomic sequencing have introduced exponentially more data into what labs have to handle on average.
