Lecture notes in computer scienceGenomicsPeer-reviewed journal article
A multi-flow approach for binning circular plasmids from short-reads assembly graphs
Victor EpainiD, Aniket ManeiD, Gianluca Della VedovaiD, Paola BonizzoniiD, Cédric ChauveiD
Abstract
We address the problem of plasmid binning, that aims to group contigs - from a draft short-read assembly for a bacterial sample - into bins each expected to correspond to a plasmid present in the sequenced bacterial genome. We formulate the plasmid binning problem as a network multi-flow problem in the assembly graph and describe a Mixed-Integer Linear Program to solve it. We compare our new method, PlasBin-HMF, with state-of-the-art methods,MOB-recon, gplasCC, and PlasBin-flow, on a dataset of more than 500 bacterial samples, and show that PlasBin-HMF outperforms the other methods, by preserving the explainability.
- organism: bacteria (other)
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- approach: mixed model
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 28th percentile
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