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Updated: Oct 8, 2026

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
Published on: August 16, 2017
Clustering of highly homologous sequences to reduce the size of large protein databases
W Li1, L Jaroszewski, A Godzik
1San Diego Supercomputer Center, La Jolla, CA 92093, USA. liwz@sdsc.edu
Abstract:
We present a fast and flexible program for clustering large protein databases at different sequence identity levels. It takes less than 2 h for the all-against-all sequence comparison and clustering of the non-redundant protein database of over 560,000 sequences on a high-end PC. The output database, including only the representative sequences, can be used for more efficient and sensitive database searches.
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