Determination of biologically related clusters of sequences is important bioinformatics analyses. The similarity between sequences is generally assessed based on their alignments with one another. This could be used with a clustering algorithm to determine groups of sequences, yet it is not straightforward how to get reliable results. We present the factors affecting the quality of clusters and how visualization aids in the refinement of results. We also present a way to verify clusters in the presence of consensus sequences, and represent clusters.