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philippa1812 authored Dec 9, 2020
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Expand Up @@ -10,10 +10,12 @@ The automated analysis pipeline contains the following steps:
3. Graph construction
4. Statistical analysis

![Pipeline](pipeline.png)

For processing larger images it is recommended to use the ClearMap skeletonization. To use that please clone their
[repository](https://github.com/MartinFinkenflugel/ClearMap2/tree/3617414d6d56709b452b2c5253631eecbede1b85)
and copy the ClearMap folder into the projects root folder. For further information please read their paper
[Mapping the Fine-Scale Organization and Plasticity of the Brain Vasculature](https://www.sciencedirect.com/science/article/abs/pii/S0092867420301094).
and copy the ClearMap folder into the projects root folder. For further information please read their
[paper](https://www.sciencedirect.com/science/article/abs/pii/S0092867420301094).
For the graph construction the Python script
[networkx_graph_from_array](https://github.com/3Scan/3scan-skeleton/blob/master/skeleton/networkx_graph_from_array.py)
from the
Expand All @@ -22,7 +24,7 @@ downloaded from GitHub and copied into the Graph folder. Many thanks to GitHub a

## Tutorial
To run the pipeline please follow the instructions below:
* instsll Miniconda following the [installation instructions](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
* install Miniconda following the [installation instructions](https://conda.io/projects/conda/en/latest/user-guide/install/index.html)
* install Snakemake following the [installation instructions](https://snakemake.readthedocs.io/en/stable/getting_started/installation.html)
or use the runtime environment from the Envs folder which has Snakemake installed.
* in a terminal navigate to the project's root folder and type
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