c(person(given="Elena", family = "Filatova", role=c("aut", "cre"), email="filatova@nniiem.ru", comment = c(ORCID = "0000-0002-6683-7191")), person(given="Oleg", family="Utkin", role="ctb", comment = c(ORCID = "0000-0002-7571-525X")), person("Blokhina Scientific Research Institute of Epidemiology and Microbiology of Nizhny Novgorod, Russia", role="fnd"))
Set of tools for molecular probes selection and design of a microarray, e.g. the assessment of physical and chemical properties, blast performance, selection according to sensitivity and selectivity. Methods used in package are described in: Lorenz R., Stephan H.B., Höner zu Siederdissen C. et al. (2011) <doi:10.1186/1748-7188-6-26>; Camacho C., Coulouris G., Avagyan V. et al. (2009) <doi:10.1186/1471-2105-10-421>.
BBmisc, biomartr, curl, DBI, dplyr, rentrez, reutils, RSQLite,
stats, stringr, seqinr, TmCalculator, utils, XML
Elena Filatova [aut, cre] (<https://orcid.org/0000-0002-6683-7191>),
Oleg Utkin [ctb] (<https://orcid.org/0000-0002-7571-525X>),
Blokhina Scientific Research Institute of Epidemiology and Microbiology
of Nizhny Novgorod, Russia [fnd]

BBmisc, biomartr, curl, DBI, dplyr, rentrez, reutils,
RSQLite, stats, stringr, seqinr, TmCalculator, utils, XML

Multiple Assemblage Dissimilarity for Orders q = 0-N
person(given = "Mark", family = "Murphy", role = c("aut", "cre"),
email = "murphymv@gmail.com")
Calculate multiple or pairwise dissimilarity for orders q = 0-N
(CqN; Chao et al. 2008 <doi:10/fcvn63>) for a set of species assemblages or
interaction networks.
knitr, markdown, rmarkdown, SpadeR, vegan

Utilities for making pairwise comparisons of multivariate data
This package has extensible C++ code for computing dissimilarities between vectors. It also has a number of C++ functions for assembling collections of dissimilarities. In particular, it lets you find a matrix of dissimilarities between the rows of two input matrices. There are also functions for finding the nearest neighbors of each row of a matrix, either within the matrix itself or within another matrix.