1. About NuPoP_Fortran

NuPoP_Fortran is the Fortran codes to predict the nucleosome positioning based on DNA sequences. It is the core code from the NuPoP R package available from http://bioconductor.org. This package provides a simple command line interface for nucleosome positioning prediction. More detailed information can be found in the NuPoP R package documentation enclosed.

We noticed there is another package nuCpos derived from NuPoP for nucleosome positioning prediction. See a performance comparison of NuPoP vs nuCpos, please see https://github.com/jipingw/NuPoP_doc.


2. Authors and maintainer

Author: Ji-Ping Wang <[email protected]>; Liqun Xi <[email protected]>
Maintainer: Ji-Ping Wang<[email protected]>

3. License

License: GPL-2

4. How to?

a. Ensure you have Fortran compiler installed, e.g. generic fortran compiler (gfortran) or Intel fortran 
b. Compile the npred.f90 (mnase model) and npred_chem (chemimcal map model) from the command line, 
   
   $gfortran npred.f90 -o npred
   $gfortran npred_chem.f90 -o npred_chem
   
c. Run compiled Fortran codes:

   $ npred
or
   $ npred_chem

You will need to input sequence file name (in fasta format), species and etc. Two models are built in, 1st order duration HMM and 4th order duration 
HMM, one trained based MNase maps and the other trained based on chemical maps.

5. Output

NuPoP_Fortran outputs five columns: chromosome coordinate (position), probability that a given chromosome location is the start of a nucleosome(P-start), nucleosome 
occupancy(occup) at the given location, the nucleosome affinity score (N/L) and  histone affinity score for every 147 bp. npred will output file with extension _P1.txt 
or P4.txt standing for first order and 4th order HMM. The npred_chem will output same files but with _chem extension.
   

6. References

- Wang, J.-P., Fondufe-Mittendorf, Y., Xi, L., Tsai, G.-F., Segal, E., and Widom, J. (2008). Prefer- entially quantized linker DNA lengths in Saccharomyces cerevisiae. PLoS Computational Biology, 4(9):e1000175.
 
- Xi, L., Fondufe-Mittendorf, Y., Xia, L., Flatow, J., Widom, J., and Wang, J.-P. (2010). Predict- ing nucleosome positioning using a duration hidden markov model. BMC Bioinformatics, pages doi:10.1186/1471–2105–11–346.