Week 3: Basic Data Manipulation

Hello friends!

Let me tell you on what happened this week–

Taking inspiration from graphing tools on the market, I wrote Python scripts for several basic data manipulation functions. Of these are:

Transform and Transform Concentrations

Transform and Transform Concentrations allows for simple transformation of data. The X or Y values have simple functions applied to them, i.e. multiplication by a constant, addition, log, subtraction, etc. and the changing of units. Of these also include biochemistry functions, such as those used in Michaelis-Menten enzyme kinetics.

Normalize

Normalize fits data onto a common scale. Usually this can be done with percentages and fractions, with 0% and 100% defined by different means. Normalization is very important for a variety of bioassays, such as the MTT we saw two weeks ago.

Fraction of Total

Fraction of Total is a very simple function that divides values with a selection of totals (column total, row total, etc.). Confidence intervals can also be calculated.

Transpose

Transpose can switch rows to columns, and columns to rows.

They’ll all be on the GitHub, and I’ll see you next time.