babette - Control 'BEAST2'

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'. 'babette' provides for an alternative workflow of using all these tools separately. This allows doing complex Bayesian phylogenetics easily and reproducibly from 'R'.

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bayesian-inferencebeast2phylogeneticsopenjdk

9.00 score 46 stars 1 dependents 65 scripts 342 downloads

beautier - 'BEAUti' from R

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAUti 2' (which is part of 'BEAST2') is a GUI tool that allows users to specify the many possible setups and generates the XML file 'BEAST2' needs to run. This package provides a way to create 'BEAST2' input files without active user input, but using R function calls instead.

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bayesianbeastbeast2beautiphylogenetic-inferencephylogenetics

8.63 score 13 stars 5 dependents 209 scripts 411 downloads

beastier - Call 'BEAST2'

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is a command-line tool. This package provides a way to call 'BEAST2' from an 'R' function call.

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bayesianbeastbeast2phylogenetic-inferencephylogeneticsopenjdk

7.71 score 11 stars 4 dependents 52 scripts 401 downloads

tracerer - Tracer from R

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'Tracer' (<https://github.com/beast-dev/tracer/>) is a GUI tool to parse and analyze the files generated by 'BEAST2'. This package provides a way to parse and analyze 'BEAST2' input files without active user input, but using R function calls instead.

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cpp

7.54 score 8 stars 3 dependents 80 scripts 319 downloads

mauricer - Work with 'BEAST2' Packages

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'BEAST2' is commonly accompanied by 'BEAUti 2' (<https://www.beast2.org>), which, among others, allows one to install 'BEAST2' package. This package allows to work with 'BEAST2' packages from 'R'.

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openjdk

5.47 score 3 stars 2 dependents 11 scripts 711 downloads

mcbette - Model Comparison Using 'babette'

'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic tool, that uses DNA/RNA/protein data and many model priors to create a posterior of jointly estimated phylogenies and parameters. 'mcbette' allows to do a Bayesian model comparison over some site and clock models, using 'babette' (<https://github.com/ropensci/babette/>).

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openjdk

4.89 score 7 stars 22 scripts 262 downloads

netmhc2pan - Interface to 'NetMHCIIpan'

The field of immunology benefits from software that can predict which peptide sequences trigger an immune response. 'NetMHCIIpan' is a such a tool: it predicts the binding strength of a short peptide to a Major Histocompatibility Complex class II (MHC-II) molecule. 'NetMHCIIpan' can be used from a web server at <https://services.healthtech.dtu.dk/services/NetMHCIIpan-3.2/> or from the command-line, using a local installation. This package allows to call 'NetMHCIIpan' from R.

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4.00 score 2 stars 8 scripts 224 downloads

pureseqtmr - Predict Transmembrane Protein Topology

Proteins reside in either the cell plasma or in the cell membrane. A membrane protein goes through the membrane at least once. Given the amino acid sequence of a membrane protein, the tool 'PureseqTM' (<https://github.com/PureseqTM/pureseqTM_package>, as described in "Efficient And Accurate Prediction Of Transmembrane Topology From Amino acid sequence only.", Wang, Qing, et al (2019), <doi:10.1101/627307>), can predict the topology of a membrane protein. This package allows one to use 'PureseqTM' from R.

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cpp

3.90 score 1 stars 16 scripts 294 downloads