Figure 1
From: EasyCluster: a fast and efficient gene-oriented clustering tool for large-scale transcriptome data
Graphical overview of EasyCluster algorithm and work-flow. In EasyCluster, genomic and EST sequences are initially used to build local databases. Next, GMAP is used to produce EST to genome alignments and results are parsed to build a first round of pseudo-clusters according to overlapping coordinates. For each cluster a refinement procedure is used to generate final clusters taking into account exon/intron boundaries. Before results, the prediction of alternative splicing events per cluster can be optionally required.