# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "preseqR" in publications use:' type: software license: GPL-3.0-only title: 'preseqR: Predicting Species Accumulation Curves' version: 4.0.0 identifiers: - type: doi value: 10.32614/CRAN.package.preseqR abstract: Originally as an R version of Preseq , 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) . authors: - family-names: Deng given-names: Chao email: chaodeng@usc.edu - family-names: Daley given-names: Timothy - family-names: Smith given-names: Andrew D. preferred-citation: type: article title: Applications of species accumulation curves in large-scale biological data analysis authors: - family-names: Deng given-names: Chao email: chaodeng@usc.edu - family-names: Daley given-names: Timothy - family-names: Smith given-names: Andrew D. journal: Quantitative Biology year: '2015' volume: '3' issue: '3' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885658 start: '135' end: '144' repository: https://cranhaven.r-universe.dev commit: 4ff2a7ec64a8d5e5644d21fa9be6b8b9fea8e795 date-released: '2018-06-27' contact: - family-names: Deng given-names: Chao email: chaodeng@usc.edu references: - type: article title: Estimating the number of species to attain sufficient representation in a random sample authors: - family-names: Deng given-names: Chao - family-names: Daley given-names: Timothy - family-names: Calabrese given-names: Peter - family-names: Ren given-names: Jie - family-names: Smith given-names: Andrew D. journal: arXiv year: '2018' url: https://arxiv.org/abs/1607.02804v3