Manually calculating and inputting data leaves room for human error. What if there was a way to automate it?

Students in the Design2Data (D2D) research program @ UC Davis collect data on enzymes and submit their findings to a growing, publicly accessed database. To prepare data for submission students must perform rate calculations. However, not all network members have access to software that calculates the needed rates from the raw data which poses a barrier for the network’s participation (and prospective) faculty and students.

Our task within the framework of D2D was to develop a web application aimed at streamlining the calculation of enzyme reaction rates and generating graphs from student-generated data.