Update README.md

README.md

 The following is a guide to the code and data used for data analysis, model simulation and figure generation.
 
-Raw and processed data analyzed via jupyter notebooks
+**Raw and processed data analyzed via jupyter notebooks**
     The code for analysis of raw timeseries bioreactor data( present in the form of CSVs for ODs, dilutions, and
     single cell fluorescence) was developed in Python. The data can be loaded as a reactordata object. 
     All the functions used for analysis utilise this class.
@@ -19,7 +19,7 @@ Raw and processed data analyzed via jupyter notebooks
     SciPy 1.6.3
     SciKit 0.24.2
     tkinter 8.6
-Matlab data and simulation code
+**Matlab data and simulation code**
     Raw timeseries data was processed to obtain relevant information in individualized matlab files that were
     used to paramterize the stochastic differentiation model and simulate the dynamics given the light sequence
     (included as csv files).