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Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3594))

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Abstract

Trimming procedures are an important part of the sequence analysis pipeline in an EST Sequencing Project. In general, trimming is done in several phases, each one detecting and removing some kind of undesirable artifact, such as low quality sequence, vectors or adapters, and contamination. However, this strategy often results in a phase being unable to recognize its target because part of it was removed during a previous phase. To remedy this drawback, we propose a new strategy, where each phase detects but does not remove its target, leaving this decision to a post processing step occurring after all phases. Our tests show that this strategy can significantly improve the detection of artifacts.

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References

  1. Baudet, C., Dias, Z.: New EST trimming strategy. Technical Report IC-05-09, Institute of Computing - University of Campinas (May 2005)

    Google Scholar 

  2. Cattle EST Project - The W. M. Keck Center for Comparative and Functional Genomics, University of Illinois at Urbana-Champaign (January 2005), http://titan.biotec.uiuc.edu/cattle/cattle_project.htm

  3. Chou, H., Holmes, M.H.: DNA sequence quality trimming and vector removal. Bioinformatics 17, 1093–1104 (2001)

    Article  Google Scholar 

  4. Green, P.: Phrap Homepage: phred, phrap, consed, swat, cross_match and RepeatMasker Documentation (March 2004), http://www.phrap.org

  5. Scheetz, T.E., Trivedi, N., Roberts, C.A., Kucaba, T., Berger, B., Robinson, N.L., Birkett, C.L., Gavin, A.J., O’Leary, B., Braun, T.A., Bonaldo, M.F., Robinson, H.P., Sheffield, V.C., Soares, M.B., Casavant, T.L.: ESTprep: preprocessing cDNA sequence. Bioinformatics 19(11), 1318–1324 (2003)

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  6. Telles, G.P., da Silva, F.R.: Trimming and clustering sugarcane ESTs. Genetics and Molecular Biology 24(1-4), 17–23 (2001)

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© 2005 Springer-Verlag Berlin Heidelberg

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Baudet, C., Dias, Z. (2005). New EST Trimming Strategy. In: Setubal, J.C., Verjovski-Almeida, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2005. Lecture Notes in Computer Science(), vol 3594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11532323_24

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  • DOI: https://doi.org/10.1007/11532323_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28008-8

  • Online ISBN: 978-3-540-31861-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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