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Persistent Phylogeny

An implementation for the persistent phylogeny polynomial-time algorithm described the article Solving the Persistent Phylogeny Problem in polynomial time.

Prerequisites

Compiling

Get Boost

N.B. Skip this block if you already have Boost on your system

From repository

Popular Linux and Unix distributions such as Fedora, Debian, and NetBSD include pre-built Boost packages.

Debian example:

# apt install libboost-all-dev

From source

Download Boost.

Boost.ProgramOptions

N.B. Skip this step if you already built Boost on your system

This implementation uses Boost.ProgramOptions to parse command line arguments and options, which means it needs separately-compiled library binaries to work.

NB. Skip this step if you already updated your platform's environment variable

Moreover, on Unix systems, you may need to prepare plaform-specific settings (since Boost.ProgramOptions is a shared library).

Clone the repository

$ git clone https://github.com/dcasella/persistent-phylogeny.git
$ cd persistent-phylogeny

Compile and link

$ make

Usage

ppp [OPTION...] FILE...

ppp corresponds to the executable binary.

OPTION is a list of options - can be omitted.

FILE is a list of file paths (1 or more).

Options

-h or  --help

Display this message.


-v or --verbose

Display the operations performed by the program.


-t or --testpy

Test the output of the algorithm with check_reduction.py. This can be used to make sure the output of the program is correct. Don't use this option when benchmarking; the Python script takes time to complete.


-x or --exponential

Exponential version of the algorithm.
This option can be used to test every possible combination of safe sources.
It is also mutually exclusive with --interactive and --nthsource.


-i or --interactive

User input driven execution.
This option can be used to manually select which safe source to realize.
It is also mutually exclusive with --exponential and --nthsource.


-m or --maximal

Run the algorithm on the maximal subgraph instead of the full graph.
This is done by calculating a maximal reducible graph before running the algorithm.


-n N or --nthsource N

Select the nth safe source when possible (default 0 - the option can be omitted).
This option can be used to automatically select the nth safe source to realize (instead of manually selecting it each time with --interactive).
It is also mutually exclusive with --exponential and --interactive.

Running

$ ./bin/ppp FILE...

The program will call the reduce function on each graph read from the files.

Examples:

Listing the single files

$ ./bin/ppp file1 dir1/file2 dir1/file3

Or with globs (if your shell supports it)

$ ./bin/ppp dir1/*

Or with options (order doesn't matter - still supports globs)

$ ./bin/ppp -m -v file1

Input file structure

The first line must contain the size of the matrix.
Empty lines (after the first) are ignored.
Subsequent lines represent the matrix itself.

N M

Matrix made up of space-separated boolean values

Example:

6 3

0 0 1
0 1 0
0 1 1
1 0 0
1 0 1
1 1 0

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An implementation for the persistent phylogeny polynomial-time algorithm

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