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Slicing and Dicing Genomes

Next-Generation Sequencing Pipelines

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Python for the Life Sciences

Abstract

In this chapter we’ll take you into the world of deep sequencing, sometimes called next-generation sequencing (NGS) or short-read sequencing. Most working biologists have probably heard about this technology, and you may be keen to get your hands on this kind of data to ask your own questions, but you may also be daunted by the intimidating terminology and word salad of tools and acronyms involved – BWA, NGS, VCF – and the equally intimidating list of technologies – Illumina, pyrosequencing, SOLiD, and so on. Never fear, we’re here to help.

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Notes

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  3. 3.

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  5. 5.

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  6. 6.

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  7. 7.

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  8. 8.

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  10. 10.

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  11. 11.

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  12. 12.

    https://docs.python.org/2/howto/argparse.html

  13. 13.

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  14. 14.

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  15. 15.

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  18. 18.

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  19. 19.

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  20. 20.

    www.biostars.org/

  21. 21.

    www.pacb.com/

  22. 22.

    http://dovetailgenomics.com/

  23. 23.

    www.10xtechnology.com/

  24. 24.

    http://ged.msu.edu/angus/tutorials-2013/

  25. 25.

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  26. 26.

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  27. 27.

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  28. 28.

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  29. 29.

    http://cosmos.hms.harvard.edu/

  30. 30.

    https://github.com/LPM-HMS/GenomeKey

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© 2019 Alexander Lancaster and Gordon Webster

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Lancaster, A., Webster, G. (2019). Slicing and Dicing Genomes. In: Python for the Life Sciences. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4523-1_8

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