Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.13263 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916375346282496 |
|---|---|
| author | Sharma, Deepak Renz, Matthias Hövel, Philipp |
| author_facet | Sharma, Deepak Renz, Matthias Hövel, Philipp |
| contents | Motif discovery is a powerful and insightful method to quantify network structures and explore their function. As a case study, we present a comprehensive analysis of regulatory motifs in the connectome of the model organism Caenorhabditis elegans (C. elegans). Leveraging the Efficient Subgraph Counting Algorithmic PackagE (ESCAPE) algorithm, we identify network motifs in the multi-layer nervous system of C. elegans and link them to functional circuits. We further investigate motif enrichment within signal pathways and benchmark our findings with random networks of similar size and link density. Our findings provide valuable insights into the organization of the nerve net of this well documented organism and can be easily transferred to other species and disciplines alike. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_13263 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Discovering Motifs to Fingerprint Multi-Layer Networks: a Case Study on the Connectome of C. Elegans Sharma, Deepak Renz, Matthias Hövel, Philipp Molecular Networks Motif discovery is a powerful and insightful method to quantify network structures and explore their function. As a case study, we present a comprehensive analysis of regulatory motifs in the connectome of the model organism Caenorhabditis elegans (C. elegans). Leveraging the Efficient Subgraph Counting Algorithmic PackagE (ESCAPE) algorithm, we identify network motifs in the multi-layer nervous system of C. elegans and link them to functional circuits. We further investigate motif enrichment within signal pathways and benchmark our findings with random networks of similar size and link density. Our findings provide valuable insights into the organization of the nerve net of this well documented organism and can be easily transferred to other species and disciplines alike. |
| title | Discovering Motifs to Fingerprint Multi-Layer Networks: a Case Study on the Connectome of C. Elegans |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/2408.13263 |