Platon
The software tool "Platon" emerges as a significant advancement in microbial genomics, particularly in studying plasmids—extrachromosomal genetic elements vital for environmental adaptation, antimicrobial resistance, and virulence factor mobilization in bacteria. The rapid expansion of next-generation sequencing technologies has significantly increased the volume of bacterial genomes available for study, necessitating the development of specialized bioinformatics tools to analyze this wealth of data efficiently. Platon addresses this need by providing a high-throughput, taxon-independent solution for identifying and characterizing plasmid sequences within draft genomic assemblies.
The heart of Platon's approach lies in introducing a unique metric, the replicon distribution score (RDS). This metric differentiates plasmid-borne genetic elements from chromosomal ones. Platon achieves its impressive accuracy of 96.6% by conducting a large-scale analysis of the distribution of protein-coding genes across different replicons and establishing statistical thresholds for the RDS. The tool's performance is further bolstered by the integration of plasmid-specific heuristics, which consider various higher-level contig characteristics unique to plasmids.
Topic
Mobile genetic elements
Detail
Operation: Sequence classification
Software interface: Command-line interface
Language: Python
License: The GNU General Public License v3.0
Cost: Free with restrictions
Version name: 1.6
Credit: The German Center of Infection Research (DZIF), the German Network for Bioinformatics Infrastructure (de.NBI), the German Research Foundation (DFG).
Input: DNA sequence [FASTA]
Output: -
Contact: Oliver Schwengers oliver.schwengers@computational.bio.uni-giessen.de
Collection: -
Maturity: Mature
Publications
- Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores.
- Schwengers O, et al. Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores. Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores. 2020; 6:(unknown pages). doi: 10.1099/mgen.0.000398
- https://doi.org/10.1099/mgen.0.000398
- PMID: 32579097
- PMC: PMC7660248
Download and documentation
Documentation: https://github.com/oschwengers/platon
Home page: https://github.com/oschwengers/platon
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