wheely-mammoth 0.16.7

Utility for reading and handling extreme-scale proteomics datasets with PySpark

wheely-mammoth is a Python library for reading and handling extremely large proteomics datasets with PySpark. It provides a simple way to find and describe datasets for use with other tools.

Installation

wheely-mammoth requires Python 3.8+ and can be installed with pip

pip install wheely-mammoth

Basic Usage

Example usage:

>>> from wheely.mammoth.parsers import read_encyclopedia_features
>>> ds = read_encyclopedia_features("data/*.features.txt")
>>> type(ds)
<class 'wheely.mammoth.dataset.PsmDataset'>
>>> ds.scores.select(ds.score_columns[0]).describe().toPandas()
  summary             primary
0   count                1770
1    mean  12.408585019887022
2  stddev   3.727298477605115
3     min           6.9876947
4     max            43.78316