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preseqR: Predicting Species Accumulation Curves
Originally as an R version of Preseq <<a href="https://doi.org/10.1038%2Fnmeth.2375" target="_top">doi:10.1038/nmeth.2375</a>>, the package has extended its functionality to predict the r-species accumulation curve (r-SAC), which is the number of species represented at least r times as a function of the sampling effort. When r = 1, the curve is known as the species accumulation curve, or the library complexity curve in high-throughput genomic sequencing. The package includes both parametric and nonparametric methods, as described by Deng C, et al. (2018) <<a href="https://doi.org/10.48550/arXiv.1607.02804" target="_top">doi:10.48550/arXiv.1607.02804</a>>.
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preseqR: Predicting Species Accumulation Curves
Originally as an R version of Preseq <<a href="https://doi.org/10.1038%2Fnmeth.2375" target="_top">doi:10.1038/nmeth.2375</a>>, the package has extended its functionality to predict the r-species accumulation curve (r-SAC), which is the number of species represented at least r times as a function of the sampling effort. When r = 1, the curve is known as the species accumulation curve, or the library complexity curve in high-throughput genomic sequencing. The package includes both parametric and nonparametric methods, as described by Deng C, et al. (2018) <<a href="https://doi.org/10.48550/arXiv.1607.02804" target="_top">doi:10.48550/arXiv.1607.02804</a>>.
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preseqR: Predicting Species Accumulation Curves
Originally as an R version of Preseq <<a href="https://doi.org/10.1038%2Fnmeth.2375" target="_top">doi:10.1038/nmeth.2375</a>>, the package has extended its functionality to predict the r-species accumulation curve (r-SAC), which is the number of species represented at least r times as a function of the sampling effort. When r = 1, the curve is known as the species accumulation curve, or the library complexity curve in high-throughput genomic sequencing. The package includes both parametric and nonparametric methods, as described by Deng C, et al. (2018) <<a href="https://doi.org/10.48550/arXiv.1607.02804" target="_top">doi:10.48550/arXiv.1607.02804</a>>.
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5- og:titlepreseqR: Predicting Species Accumulation Curves
- og:descriptionOriginally as an R version of Preseq <<a href="https://doi.org/10.1038%2Fnmeth.2375" target="_top">doi:10.1038/nmeth.2375</a>>, the package has extended its functionality to predict the r-species accumulation curve (r-SAC), which is the number of species represented at least r times as a function of the sampling effort. When r = 1, the curve is known as the species accumulation curve, or the library complexity curve in high-throughput genomic sequencing. The package includes both parametric and nonparametric methods, as described by Deng C, et al. (2018) <<a href="https://doi.org/10.48550/arXiv.1607.02804" target="_top">doi:10.48550/arXiv.1607.02804</a>>.
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7- https://CRAN.R-project.org/package=preseqR
- https://CRAN.R-project.org/src/contrib/Archive/preseqR
- https://doi.org/10.1038%2Fnmeth.2375
- https://doi.org/10.32614/CRAN.package.preseqR
- https://doi.org/10.48550/arXiv.1607.02804