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Updated: Feb 6, 2026

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
Published on: February 10, 2023
CEPiNS: Conserved Exon Prediction in Novel Species
Shihab Hasan1, Christopher W Wheat
1Bioinformatics, Department of Information Technology, 20014, University of Turku, Finland ; Department of Biological and Environmental Sciences, PL 65, Viikinkaari 1, 00014 University of Helsinki, Finland.
Abstract:
Exon structure is relatively well conserved among orthologs in several large clades of species (e.g. Mammalia, Diptera, Lepidoptera) across evolutionary distances of up to 80 million years. Thus, it should be straightforward to predict the exon structures in novel species based upon the known exon structures of species that have had their genomes sequenced and well assembled. Being able to predict the exon boundaries in the genes of novel species is important given the quickly growing numbers of transcriptome sequencing projects. CEPiNS is a new pipeline for mining exon boundaries of predicted gene sets from model species and then using this information to identify the exon boundaries in a novel species through codon based alignment. The pipeline uses the freeware SPIDEY, an exon boundary prediction tool, and BLAST (BLASTN, BLASTP, TBLASTX), both of which are part of NCBI's toolkit. CEPiNS provides an important tool to analyze the transcriptome of novel species.
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