peakoscope 0.9.0

Data analysis of peak and valley regions

Peakoscope

Peakoscope is a python package for hierarchical analysis of peak and valley regions in numeric data.

• Peak and valley regions can be nested, for example, when a large peak region contains smaller subpeak regions.
• Based on a one-pass algorithm that finds all peak regions and orders them into a tree.
• Classes for peak/valley objects and tree objects.
• Optional interfaces to matplotlib, pandas and polars.

Usage examples

Compute the tree of nested peak regions in a data set:

>>> import peakoscope
>>> data = [10, 30, 40, 30, 10, 50, 70, 70, 50, 80]
>>> print(peakoscope.tree(data))
0:10
├─5:10
│ ├─9:10
│ └─6:8
└─1:4
  └─2:3

From the tree, select "important" peak regions and print their slice of data:

>>> for peak in peakoscope.tree(data).filter():
...    print(data[peak.slice])
... 
[80]
[70, 70]
[30, 40, 30]

Howto files

The github repo contains tutorials written as jupyter notebooks:

• plotting_tutorial.ipynb
• dataframes_tutorial.ipynb

Authors

• Eivind Tøstesen, [e-mail]

License

Copyright (C) 2021-2024 Eivind Tøstesen. This software is licensed under GPLv3

Citation

Citation can include one or more of:

• Peakoscope + version

• Github URL: https://github.com/eivindtostesen/hierarchical_peak_finding

• PyPI URL: https://pypi.org/project/peakoscope/

• The open-access article:

  Tøstesen, E. A stitch in time: Efficient computation of genomic DNA melting bubbles. Algorithms for Molecular Biology, 3, 10 (2008). DOI: 10.1186/1748-7188-3-10