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CLIPZ supports the automatic functional annotation of short reads resulting primarily from crosslinking and immunoprecipitation experiments (CLIP) performed with RNA-binding proteins in order to identify the binding sites of these proteins. The functional annotation could be also applied to short reads resulting from other type of experiments such as mRNA-Seq, Digital Gene Expression, small RNA cloning, etc. CLIPZ enables visualization, mining and analysis of data sets.
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
Software to analyse deep-sequencing (NGS) data and reconstruct haplotypes in a genetically heterogeneous sample