Schulz, Tizian; Stoye, Jens; Dörr, Daniel: GraphTeams. A method for discovering spatial gene clusters in Hi-C sequencing data. In: BMC Genomics. Jg.19 H. Suppl. 5. 2018
Inhalt
- Methods
- Discovering -teams in graphs with shared vertex sets
- Finding -teams by decomposing graphs with divide-and-conquer
- Identifying maximal -sets
- The special case of shortest-path graphs
- -teams with families
- Application to spatial gene cluster discovery
- Quantifying functional associations of gene clusters using gene ontology annotations
- Results
- The GraphTeams workflow
- Intrachromosomal study of human and mouse
- Interchromosomal spatial gene cluster candidates in human and mouse
- Discussion
- Conclusions
- Acknowledgements
- Funding
- Availability of data and materials
- About this supplement
- Authors' contributions
- Ethics approval and consent to participate
- Consent for publication
- Competing interests
- Publisher's Note
- Author details
- References