Development of Exodus Algorithm Overcomes Limitations in Identifying and Quantifying the Genomes of Genetically Related Microorganisms
BiomX Inc.(“BiomX” or the “Company”), a clinical-stage microbiome company advancing novel natural and engineered phage therapies that target specific pathogenic bacteria, announced the publication of a scientific paper titled “Exodus: Sequencing-based Pipeline for Quantification of Pooled Variants” in the journal, Bioinformatics.
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“The development of the Exodus algorithm immediately improves our ability to detect and quantify known virus variants in samples or verification of the proper composition of our phage cocktails therapeutics”
The paper specifically relates to overcoming the limitations of Next Generation Sequencing (“NGS”) in identifying and quantifying genetically-related microorganisms after they are pooled together in either natural or designed samples. BiomX researchers have developed a reference-based Python algorithm, Exodus, for quantification of genomes, including those that are highly similar, when they are sequenced together in a single mix. Applying the Exodus algorithm, researchers were able to generate both empirical and in-silico next generation sequencing data of mixed genomes with median error rates between 0% and 0.21% as a function of the complexity of the mix. Importantly, no false negatives were recorded, which BiomX believes demonstrates that Exodus’ likelihood of missing an existing genome is very low, even if the genome’s relative abundance is low and similar genomes are present in the same mix.
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“The development of the Exodus algorithm immediately improves our ability to detect and quantify known virus variants in samples or verification of the proper composition of our phage cocktails therapeutics,” said Iddo Weiner, head of data science at BiomX. “By leveraging Exodus across all of research programs, we can consistently generate hyper-accurate NGS data for our single mix analyses, thereby providing us with a more detailed genetic understanding of our phage product candidates. In addition, because of the open-source nature of the algorithm, we also expect to see researchers external to BiomX utilize Exodus to conduct analysis on various genome-related projects.”
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