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      Density-dependent microbial calcium carbonate precipitation by drinking water bacteria via amino acid metabolism and biosorption

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          ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

          After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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            ggtree : an r package for visualization and annotation of phylogenetic trees with their covariates and other associated data

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              phangorn: phylogenetic analysis in R

              Summary: phangorn is a package for phylogenetic reconstruction and analysis in the R language. Previously it was only possible to estimate phylogenetic trees with distance methods in R. phangorn, now offers the possibility of reconstructing phylogenies with distance based methods, maximum parsimony or maximum likelihood (ML) and performing Hadamard conjugation. Extending the general ML framework, this package provides the possibility of estimating mixture and partition models. Furthermore, phangorn offers several functions for comparing trees, phylogenetic models or splits, simulating character data and performing congruence analyses. Availability: phangorn can be obtained through the CRAN homepage http://cran.r-project.org/web/packages/phangorn/index.html. phangorn is licensed under GPL 2. Contact: klaus.kschliep@snv.jussieu.fr Supplementary information: Supplementary data are available at Bioinformatics online.
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                Author and article information

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                Journal
                Water Research
                Water Research
                Elsevier BV
                00431354
                September 2021
                September 2021
                : 202
                : 117444
                Article
                10.1016/j.watres.2021.117444
                34314923
                f525e994-e47b-4138-a732-5db750a65ffd
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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