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Abstract

Next-generation sequencing (NGS) experiments are generating large genome position files (GPFs) to be analyzed in order to report genomic variants of interest (i.e. mutations, indels, etc.). PileLine software implements a novel command-line toolbox for efficient handling, filtering, and comparison of GPFs commonly employed in NGS data analysis workflows (i.e pileup, vcf, bed, and gff). Its functions may be piped with standard UNIX commands in a standard PC being designed to be memory efficient by performing on-disk operations over sorted GPFs directly.In this report we introduce a case study to analyze single nucleotide variants in order to retrieve somatic mutations by using PileLine functionalities. The source code of the software can be downloaded at http://sourceforge.net/projects/pilelinetools/

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References

  1. The International Cancer Genome Consortium. Nature 464(7291), 993–998 (April 15, 2010)

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  2. Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., 1000 Genome Project Data Processing Subgroup: The Sequence alignment/map (SAM) format and SAMtools. Bioinformatics 25, 2078–2079 (2009)

    Article  Google Scholar 

  3. Kumar, P., et al.: Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat. Protocols 4(7), 1073–1081 (2009)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Glez-Peña, D., Reboiro-Jato, M., Fdez-Riverola, F., Pisano, D.G., Gómez-López, G. (2011). An Intuitive Workflow to Retrieve Somatic Mutations in Next Generation Sequencing Studies. In: Rocha, M.P., Rodríguez, J.M.C., Fdez-Riverola, F., Valencia, A. (eds) 5th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2011). Advances in Intelligent and Soft Computing, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19914-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-19914-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19913-4

  • Online ISBN: 978-3-642-19914-1

  • eBook Packages: EngineeringEngineering (R0)

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