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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.
The Eukaryotic Promoter Database is an annotated non-redundant collection of eukaryotic POL II promoters, for which the transcription start site has been determined experimentally. Access to promoter sequences is provided by pointers to positions in nucleotide sequence entries. The annotation part of an entry includes description of the initiation site mapping data, cross-references to other databases, and bibliographic references.
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