References – Matt McGuffie – Bioinformatics 2019

Matt McGuffie

Bioinformatics 2019

References

  1. Sutcliffe, J. G. Complete nucleotide sequence of the Escherichia coil plasmid pBR322. CoM Spring Harbor Symposia on Quantitative Biology 90 (1979).
  2. Nielsen, A. A. K. & Voigt, C. A. Deep learning to predict the lab-of-origin of engineered DNA. Nature Communications 9, (2018).
  3. Kunjapur, A. M., Pfingstag, P. & Thompson, N. C. Gene synthesis allows biologists to source genes from farther away in the tree of life. Nature Communications 9, (2018).
  4. Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. Journal of Molecular Biology 215, 403–410 (1990).
  5. Herscovitch, M., Perkins, E., Baltus, A. & Fan, M. Addgene provides an open forum for plasmid sharing. Nat Biotechnol 30, 316–317 (2012).
  6. Kamens, J. The Addgene repository: an international nonprofit plasmid and data resource. Nucleic Acids Research 43, D1152–D1157 (2015).
  7. Project Jupyter. Available at: https://www.jupyter.org. (Accessed: 30th April 2019)
pLannotate

Plasmids are ubiquitous in many fields of biology.

Engineered plasmids often contain junk. This junk can take up useful space, or worse.

pLannotate shows you where the junk is.

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