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BayeScan aims at identifying candidate loci under natural selection from genetic data, using differences in allele frequencies between populations. BayeScan is based on the multinomial-Dirichlet model.
MARA models genome-wide expression data in terms of our genome-wide annotations of regulatory sites. For a given expression data-set it infers the key transcription regulators, their sample-dependent activities, and their genome-wide targets.
keywords: Affymetrix chip analysis, animal, arthropod, Bayesian network, ChIP-seq, eukaryotic promoter, expression, expression data, fungi, genetic data analysis, genomics, graphics, HMM, human, insect, in situ hybridization, interaction, maximum likelihood, microarray, network, NGS, regulatory site, sequence analysis, sequencing, transcription factor binding site, transcription module, transcription regulation, transcription start site annotation, transcriptome analysis, vertebrate
MLtree is a software to compute maximum likelihood optimization of models of character evolution (either DNA or phenotypic ones) along the branches of a phylogenetic tree. It is assuming that the phylogenetic tree is known.
Phylogibbs is an algorithm for discovering regulatory sites in a collection of DNA sequences, including multiple alignments of orthologous sequences from related organisms.The algorithm uses a Gibbs sampling strategy, takes the phylogenetic relationships of the input sequences rigorously into account, and assigns realistic posterior probabilities to reported sites using a novel annealing+tracking strategy.
keywords: alignment, alignment analysis, animal, arthropod, Bayesian network, binding sites prediction, C, ChIP-seq, evolution, fungi, genetic data analysis, genomics, Gibbs sampler, HMM, human, insect, interaction, maximum likelihood, model of evolution, multiple sequence alignment (MSA), network, NGS, phylogibbs, population genetics, regulatory site, selection, sequence analysis, sequence comparison, short sequence alignment, similarity search, transcription factor binding site, transcription module, transcription regulation, transcriptome analysis, vertebrate
RAxML (Randomized Axelerated Maximum Likelihood) is a program for sequential and parallel Maximum Likelihood based inference of large phylogenetic trees. It has originally been derived from fastDNAml which in turn was derived from Joe Felsentein's dnaml which is part of the PHYLIP package.