Ribosome profiling has proved useful in genome-wide translational studies.It involves sequencing of mRNA fragments where the ribosome halts and mapping it to the reference genome. The hinderance caused by micrococcal nuclease(MNase) complicates the mapping of ribosome. Present methods suffer from this MNase bias as well as very less accuracy in working out ribosome kinetics.
In their recent article Zhao, D. et al.(2019) have tried to remove all these inaccuracies by building a mathematical model and developing it into an algorithm. The program takes care about the ribosomal kinetics as well as also avoids inaccuracies caused by MNase.
The source code of the program is available at http://bioserv.mps.ohio-state.edu/RiboProP.
Reference:
Zhao D. et al. (2019) RiboProP: a probabilistic ribosome positioning algorithm for ribosome profiling.Bioinformatics 35(9):1486-1493.