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.. m2g documentation master file, created by
sphinx-quickstart on Wed Dec 19 13:35:38 2018.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
.. -*- coding: utf-8 -*-
.. _BiorXiv: https://www.biorxiv.org/content/early/2018/04/24/188706
.. _contents:

m2g
.. _BiorXiv: https://doi.org/10.1101/2021.11.01.466686

Overview of m2g
================================

NeuroData’s MR Graphs package, m2g (pronounced “nutmeg”), is the successor of the MRCAP, MIGRAINE, and m2g pipelines. m2g combines dMRI and sMRI data from a single subject to estimate a high-level connectome reliably and scalably.
NeuroData’s MR Graphs package, `m2g`, is the successor of the MRCAP, MIGRAINE, and m2g pipelines. m2g combines dMRI, fMRI, and sMRI data from a single subject to estimate a high-level connectome reliably and scalably.

The m2g pipeline has been developed as a one-click solution for human connectome estimation by providing robust and reliable estimates of connectivity across a wide range of datasets. The pipelines are explained and derivatives analyzed in our pre-print, available on BiorXiv_.

.. toctree::
:caption: Tutorials
:maxdepth: 3
Free software
-------------

tutorials/install
tutorials/funcref
m2g is free software; you can redistribute it and/or modify it under the
terms of the :doc:`Polyform </license>` license. We welcome contributions.
Join us on `GitHub <https://github.com/neurodata/m2g>`_.

.. toctree::
:caption: Pipeline Overview
:maxdepth: 2

pipeline/diffusion
pipeline/functional
:caption: Documentation
:maxdepth: 3

.. toctree::
:caption: Function Reference
:maxdepth: 1
install
diffusion
functional

.. toctree::
:maxdepth: 1
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m2g @ GitHub <http://www.github.com/neurodata/m2g/>
m2g @ PyPI <https://pypi.org/project/m2g/>
Issue Tracker <https://github.com/neurodata/m2g/issues>
NeuroData Lab <http://neurodata.io/>
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