BIO-R (Biodiversity analysis with R for Windows) Version 3.0
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'BIO-R is a set of R programs that do biodiversity analysis of molecular data, in order to calculate heterozygosity, diversity among and within groups, shannon index, number of effective allele, percent of polymorphic loci, Rogers distance, Nei distance, cluster analysis and multidimensional scaling 2D plot and 3D plot. You can included external groups for colored the dendogram or MDS plots, and additionally you can obtain a Core Subset using molecular data and also phenotypic, geographical and any source of data. BIO-R was designed because to do biodiversity analysis easily' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Core subset","Diversity","Genetic distance","Hetrozygosis","Multidimensional scaling"]} <|eot_id|>
 Here is the Description of a dataset. Description:'BIO-R is a set of R programs that do biodiversity analysis of molecular data, in order to calculate heterozygosity, diversity among and within groups, shannon index, number of effective allele, percent of polymorphic loci, Rogers distance, Nei distance, cluster analysis and multidimensional scaling 2D plot and 3D plot. You can included external groups for colored the dendogram or MDS plots, and additionally you can obtain a Core Subset using molecular data and also phenotypic, geographical and any source of data. BIO-R was designed because to do biodiversity analysis easily' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
BIO-R is a set of R programs that do biodiversity analysis of molecular data, in order to calculate heterozygosity, diversity among and within groups, shannon index, number of effective allele, percent of polymorphic loci, Rogers distance, Nei distance, cluster analysis and multidimensional scaling 2D plot and 3D plot. You can included external groups for colored the dendogram or MDS plots, and additionally you can obtain a Core Subset using molecular data and also phenotypic, geographical and any source of data. BIO-R was designed because to do biodiversity analysis easily
Core subset; Diversity; Genetic distance; Hetrozygosis; Multidimensional scaling