GeneRAGE: a robust algorithm for sequence clustering and domain detection

Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection and correction of false positive and negative relationships with subsequent detection and resolution of multi-domain proteins. Results: A new algorithm for the automatic clustering of protein sequence datasets has been developed. This algorithm represents all similarity relationships within the dataset in a binary matrix. Removal of false positives is achieved through subsequent symmetrification of the matrix using a Smith

• Type: Journal
• Year: 2000
• Where: BIOINFORMATICS
• Authors: Anton J. Enright, Christos A. Ouzounis
• Keywords: BIOINFORMATICS 2000, Multi-domain Proteins, Protein Sequence Datasets, Proteins