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• W2994814458 abstract "In many fields of biomedical research, it is important to estimate phylogenetic distances between taxa based on low-coverage sequencing reads. Major applications are, for example, phylogeny reconstruction, species identification from small sequencing samples, or bacterial strain typing in medical diagnostics.We adapted our previously developed software program Filtered Spaced-Word Matches (FSWM) for alignment-free phylogeny reconstruction to take unassembled reads as input; we call this implementation Read-SpaM.Test runs on simulated reads from semi-artificial and real-world bacterial genomes show that our approach can estimate phylogenetic distances with high accuracy, even for large evolutionary distances and for very low sequencing coverage." @default.
• W2994814458 created "2019-12-26" @default.
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• W2994814458 date "2019-12-01" @default.
• W2994814458 modified "2023-10-09" @default.
• W2994814458 title "Read-SpaM: assembly-free and alignment-free comparison of bacterial genomes with low sequencing coverage" @default.
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• W2994814458 doi "https://doi.org/10.1186/s12859-019-3205-7" @default.
• W2994814458 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6916211" @default.
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