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Evaluation Of Glycine Max Mrna Clusters, Ronald L. Frank, Fikret Erçal
Evaluation Of Glycine Max Mrna Clusters, Ronald L. Frank, Fikret Erçal
Biological Sciences Faculty Research & Creative Works
Background: Clustering the ESTs from a large dataset representing a single species is a convenient starting point for a number of investigations into gene discovery, genome evolution, expression patterns, and alternatively spliced transcripts. Several methods have been developed to accomplish this, the most widely available being UniGene, a public domain collection of gene-oriented clusters for over 45 different species created and maintained by NCBI. The goal is for each cluster to represent a unique gene, but currently it is not known how closely the overall results represent that reality. UniGene's build procedure begins with initial mRNA clusters before joining ESTs. …