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Motivation: Biomedical literature is the principal repository of biomedical knowledge, with PubMed being the most complete database collecting, organising, and analysing such textual knowledge. There are numerous efforts that attempt to exploit this information by using text mining and machine learning techniques. We developed a novel approach, called PuReD-MCL (Pubmed Related Documents-MCL), which is based on the graph clustering algorithm MCL and relevant resources from PubMed. Methods:doi:10.1093/bioinformatics/btn318 pmid:18593717 fatcat:lrzh4yxc7jebrdzpwwqkgws7hy