This version of pmfe is unmaintained. See https://github.com/gtDMMB/pmfe for active development.
pmfe determines the sensitivity of RNA folding to multibranch-loop-related parameters.
It relies on an implementation of Zucker's dynamic-programming algorithm for RNA secondary structure prediction, using adapted code from the gtmfe program from the GTFold project.
This project is available as a Docker container.
If you wish to run pmfe but do not need to modify and recompile the code, we recommend this approach, as it makes it easy to ensure you have all the dependencies.
You can download the latest image by running the following in your shell:
docker pull agdphd/pmfe
This command can be used in the future to update your image to the latest version.
You can then enter the image by running the following in your shell:
docker run -it agdphd/pmfe
This will give you a shell in the pmfe directory with the binaries built and ready to go.
WARNING: Each time you call docker run […], you get a clean new copy of the image!
Any data you produced in previous runs will not be present.
Thus, be sure to copy out anything important before exiting the image.
If you want to modify the source and compile pmfe yourself, the source is available here.
This project is under active development, so we recommend downloading it using Git.
To do this, run the following in your terminal:
git clone https://github.com/AMS-MRC-disc-math-bio/pmfe.git
This will download the code and extract it into a directory called pmfe.
This project depends on the CGAL computational geometry library, several libraries from the Boost project, and the GMP arbitrary-precision arithmetic library. To install the required dependencies on a Debian system, run
sudo apt-get install libgmp-dev libboost-filesystem-dev libboost-program-options-dev libboost-log-dev libcgal-dev
To install the required dependencies on OSX using Homebrew, run
sudo brew install boost cgal gmp
This project also depends on the Catch unit testing library. It has been included here under the terms of the Boost Software License.
Next, you will need to build our custom version of GTFold and the parametrizer.
To do so, simply run make from the pmfe directory.
If you have multiple cores or processors, you can build in parallel by running
nice make -j
instead.
The resulting binaries can be found in the base directory with the pmfe- prefix.
If you used Git to download your copy of this software, you can update it easily.
Just run git pull in a terminal from anywhere inside the repository to fetch the latest version.
Afterwards, run make again to build the new version.
This project builds programs that perform a variety of tasks.
Given a FASTA file representing an RNA sequence and (optionally) some modified values for the Turner99 multibranch loop parameters, the pmfe-findmfe program will generate a secondary structure which minimizes free energy.
For example, to use it on the sequence in test_seq/tRNA/c.diphtheriae_tRNA.fasta with parameters A, B, C, and D, type
pmfe-findmfe test_seq/tRNA/c.diphtheriae_tRNA.fasta -a A -b B -c C -d D
The result will be printed to your terminal.
Given a FASTA file representing an RNA sequence, an energy gap δ, and (optionally) some modified values for the Turner99 multibranch loop parameters, the pmfe-subopt program will generate all secondary structures with energy within δ of the minimum.
To use it on the sequence in test_seq/tRNA/c.diphtheriae_tRNA.fasta with parameters A, B, C, and D and energy gap δ, type
pmfe-subopt test_seq/tRNA/c.diphtheriae_tRNA.fasta -a A -b B -c C -d D --delta δ
The result will be saved in test_seq/tRNA/c.diphtheriae_tRNA.rnasubopt.
Given a FASTA file representing an RNA sequence, the pmfe-parametrizer program will generate the polytope which is the convex hull of all secondary structures on that sequence in ℚ⁴.
To use it on the sequence in test_seq/tRNA/c.diphtheriae_tRNA.fasta, type
pmfe-parametrizer test_seq/tRNA/c.diphtheriae_tRNA.fasta
The result will be saved in test_seq/tRNA/c.diphtheriae_tRNA.rnapoly, which can be read directly or used with rna_poly.py to produce a Sage polytope for further investigation.
The pmfe-tests program runs a suite of unit tests.
This project includes "BBPolytope.h", a headers-only implementation of Huggins' iB4e algorithm.
It can be found in the iB4e subdirectory.
Note that it requires a replacement for one header file in the CGAL library; this is a small but necessary modification to support the algorithm.
In the future, this will be updated to use the new Triangulations library in CGAL, and the modification will no longer be necessary.
The source for pmfe is released under the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.