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CLU: A new algorithm for EST clustering
2005
BMC Bioinformatics
The continuous flow of EST data remains one of the richest sources for discoveries in modern biology. The first step in EST data mining is usually associated with EST clustering, the process of grouping of original fragments according to their annotation, similarity to known genomic DNA or each other. Clustered EST data, accumulated in databases such as UniGene, STACK and TIGR Gene Indices have proven to be crucial in research areas from gene discovery to regulation of gene expression. Results:
doi:10.1186/1471-2105-6-s2-s3
pmid:16026600
pmcid:PMC1637039
fatcat:5jgsis5sofeelkjkh2bxzfhkri