bioRxivBioinformaticsPreprint
Jaccard Index Network Analysis for pangenome analysis
Arancha Peñil-CelisiD, Santiago Redondo-Salvo, Kaitlin A. TaggiD, Hattie E. WebbiD, Maria Pilar Garcillán-BarciaiD, Fernando de la CruziD
Abstract
ii.Summary/AbstractJaccard Index Network Analysis (JINA) is a comprehensive workflow designed to explore bacterial genome relationships through an integrated network-based approach. This workflow combines existing tools such as Jaccard Index (1), Gephi (2) and Pangraph (3). By integrating these methodologies into a unified framework, JINA enables efficient visualization and stratification of genomic data, facilitating the identification of meaningful patterns, groups, and associations within bacterial populations. The use of JINA ensures precision in capturing genomic variation including single nucleotide polymorphisms, insertions and deletions. While JINA does not implement Gephi, BLAST, and PanGraph directly in a single software, it guides their coordinated use to analyze and interpret genomic data effectively.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: clustering
- research focus: dimensionality reduction
- approach: statistical model
- Citations
- 0
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