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A Web Tool to Discover Full-Length Sequences — Full-Lengther

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Innovations in Hybrid Intelligent Systems

Abstract

Many Expressed Sequence Tags (EST) sequencing projects produce thousands of sequences that must be cleaned and annotated. This research presents the so-called Full-Lengther, an algorithm that can find out full-length cDNA sequences from EST data. To accomplish this task, Full-Lenther is based on a BLAST report using a protein database such as UniProt. Blast alignments will guide to locate protein coding regions, mainly the start codon. Full-Lengther contains an ORF prediction algorithm for those cases which is not homologous to any sequence. The algorithm is implemented as a web tool to simplify its use and portability. This can be worldwide accessible via http://castanea.ac.uma.es/genuma/full-lengther/

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© 2007 Springer-Verlag Berlin Heidelberg

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Lara, A.J., Pérez-Trabado, G., Villalobos, D.P., Díaz-Moreno, S., Cantón, F.R., Claros, M.G. (2007). A Web Tool to Discover Full-Length Sequences — Full-Lengther. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_47

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  • DOI: https://doi.org/10.1007/978-3-540-74972-1_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74971-4

  • Online ISBN: 978-3-540-74972-1

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