MSBayesPro is a software package and web tool for Bayesian protein inference from tandem mass spectrometry peptide identifications. It uses a set of identified peptides (or peptides with scores in a MS/MS search), peptide detectability, and a protein database to provide probabilities of protein identifications.
FreeBayes is a high-performance, flexible, and open-source Bayesian genetic variant detector. It operates on BAM alignment files, which are produced by most contemporary short-read aligners.
BEAST (Bayesian Evolutionary Analysis Samling Trees) is a cross-platform program for Bayesian MCMC analysis of molecular sequences. It is entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. It can be used as a method of reconstructing phylogenies but is also a framework for testing evolutionary hypotheses without conditioning on a single tree topology. BEAST uses MCMC to average over tree space, so that each tree is weighted proportional to its posterior probability. We include a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results.
BEAST 2 is an open source cross-platform program for Bayesian MCMC phylogenetic analysis of molecular sequences.
BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis.
Bouckaert R, Vaughan TG, Barido-Sottani J, Duchêne S, Fourment M, Gavryushkina A, Heled J, Jones G, Kühnert D, De Maio N, Matschiner M, Mendes FK, Müller NF, Ogilvie HA, du Plessis L, Popinga A, Rambaut A, Rasmussen D, Siveroni I, Suchard MA, Wu CH, Xie D, Zhang C, Stadler T, Drummond AJ.
PLoS Comput Biol. 2019 Apr 8;15(4):e1006650. doi: 10.1371/journal.pcbi.1006650.
Tracer is a program for analysing the trace files generated by Bayesian MCMC runs (that is, the continuous parameter values sampled from the chain). It can be used to analyse runs of BEAST, MrBayes, LAMARC and possibly other MCMC programs.
MrBayes is a program for the Bayesian estimation of phylogeny. Bayesian inference of phylogeny is based upon a quantity called the posterior probability distribution of trees, which is the probability of a tree conditioned on the observations. The conditioning is accomplished using Bayes’s theorem. The posterior probability distribution of trees is impossible to calculate analytically; instead, MrBayes uses a simulation technique called Markov chain Monte Carlo (or MCMC) to approximate the posterior probabilities of trees.
Bayesian Joint Analysis is an approach to address the two key questions in parallel, which incorporates the information of functional annotations into expression data analysis and meanwhile infer the enrichment of functional groups.
BQuant is an R package using a probabilistic approach for fully automated database-based identification and quantification of metabolites in local regions of 1H Nuclear Magnetic Resonance (NMR) spectra. The approach is based on a linear mixed model, which accounts for technological characteristics of NMR spectra, and represents the spectra as mixtures of reference profiles from a database. Identities and abundances of metabolites in the spectra are then inferred by Bayesian model selection, implemented in an efficient Gibbs sampling scheme.
QTLBIM (QTL Bayesian Interval Mapping), provides a Bayesian model selection approach to map multiple interacting QTL. It works on experimentally inbred lines and performs a genome-wide search to locate multiple potential QTL. The package can handle continuous, binary and ordinal traits.
