waltlabtools

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A collection of tools for biomedical research assay analysis in Python.

Key Features

• Analysis for assays such as
  digital ELISA <http://www.ncbi.nlm.nih.gov/pmc/articles/pmc2919230/>__,
  including single-molecule array (Simoa) assays
• Read instrument-generated files and calculate calibration curves,
  concentrations, limits of detection, and more
• Free and open-source software under the
  GNU General Public License v3 <https://www.gnu.org/licenses/gpl-3.0.en.html>__

Getting Started

Installation ^^^^^^^^^^^^

You can install waltlabtools using Anaconda <https://anaconda.org/tylerdougan/waltlabtools>__ (recommended) or PyPI <https://pypi.org/project/waltlabtools/>. If you're not comfortable with the command line, begin by installing Anaconda Navigator <https://www.anaconda.com/products/individual>. Then follow these instructions <https://docs.anaconda.com/anaconda/navigator/tutorials/manage-channels/>__ to add the channel tylerdougan, and install waltlabtools from this channel.

Alternatively, install waltlabtools from the command line with conda install -c tylerdougan waltlabtools (recommended; requires you to first install Anaconda or Miniconda <https://docs.conda.io/en/latest/miniconda.html>) or pip install waltlabtools (requires pip <https://pip.pypa.io/en/stable/getting-started/>, which should come with Python).

Usage ^^^^^

.. code-block:: python

import waltlabtools as wlt # waltlabtools main functionality

Development of waltlabtools is led by the Walt Lab <https://waltlab.bwh.harvard.edu>__ for Advanced Diagnostics at Brigham and Women's Hospital <https://www.brighamandwomens.org>, Harvard Medical School <https://hms.harvard.edu>, and the Wyss Institute for Biologically Inspired Engineering <https://wyss.harvard.edu>__.