GPMap

A Python API for managing genotype-phenotype map data

GPMap defines a flexible object for managing genotype-phenotype (GP) map data. At it's core, it stores all data in Pandas DataFrames and thus, interacts seamlessly with the PyData egosystem.

To visualize genotype-phenotype objects created by GPMap, checkout GPGraph.

Basic example

Import the package's base object.

from gpmap import GenotypePhenotypeMap

Pass your data to the object.

# Data
wildtype = "AAA"
genotypes = ["AAA", "AAT", "ATA", "TAA", "ATT", "TAT", "TTA", "TTT"]
phenotypes = [0.1, 0.2, 0.2, 0.6, 0.4, 0.6, 1.0, 1.1]
stdeviations = [0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05]

# Initialize the object
gpm = GenotypePhenotypeMap(wildtype,
                           genotypes,
                           phenotypes,
                           stdeviations=stdeviations)

# Check out the data.
gpm.data

Or load a dataset from disk.

gpm = GenotypePhenotypeMap.read_json("data.json")

Installation

Users This simplest way to install this package is using pip:

pip install gpmap

Developers The recommended way to install this package for development is using pipenv.

1. Clone this repository:

git clone https://github.com/harmslab/gpmap

2. Install the package using pipenv.

cd gpmap
pipenv install --dev -e .

3. Run tests using pytest

pytest

Dependencies

The following modules are required. Also, the examples/tutorials are written in Jupyter notebooks and require IPython to be installed.

• Numpy
• Pandas