Best bioinformatics software for gene clustering

  Clustering is a fundamental step in the analysis of biological and omics data. It is used to construct groups of objects (genes, proteins) with related function, expression patterns, or known to interact together. In microarrays or RNA-seq experiments, gene clustering is often associated with heatmap representation for data visualization.   Choosing the right clustering tool for your analysis   Many clustering methods and algorithms have been developed and are classified into partitioning (k-means), hierarchical (connectivity-based), density-based, model-based and graph-based approaches. To help you choose between all the existing clustering tools, we asked OMICtools community to choose the best software. Here are the top 3 tools, chosen by 23 voters.   1. ClustEval 2. Babelomics 3. Altanalyze First place for …

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