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article · BMC Bioinformatics · 2020

Simulating metagenomic stable isotope probing datasets with MetaSIPSim

Samuel E. Barnett, Daniel H. Buckley

Cited by 22Open access

Abstract

Metagenomic-SIP is a valuable method for recovering isotopically labeled genomes from complex communities. We show that metagenomic-SIP performance depends on optimization of experimental parameters. MetaSIPSim allows for simulation of metagenomic-SIP datasets which facilitates the optimization and development of metagenomic-SIP experiments and analytical approaches for dealing with these data.

Cite this paper

APA 7

Barnett, S. E., & Buckley, D. H. (2020). Simulating metagenomic stable isotope probing datasets with MetaSIPSim. BMC Bioinformatics, 21(1), 37. https://doi.org/10.1186/s12859-020-3372-6

MLA 9

Barnett, Samuel E., and Daniel H. Buckley. “Simulating metagenomic stable isotope probing datasets with MetaSIPSim.” BMC Bioinformatics, vol. 21, no. 1, 2020, p. 37, https://doi.org/10.1186/s12859-020-3372-6.

Chicago

Barnett, Samuel E., and Daniel H. Buckley. 2020. “Simulating metagenomic stable isotope probing datasets with MetaSIPSim.” BMC Bioinformatics 21 (1): 37. https://doi.org/10.1186/s12859-020-3372-6.

Harvard

Barnett, S.E. and Buckley, D.H. (2020) ‘Simulating metagenomic stable isotope probing datasets with MetaSIPSim’, BMC Bioinformatics, 21(1), p. 37. Available at: https://doi.org/10.1186/s12859-020-3372-6.

BibTeX
@article{barnett2020simulating,
  title = {{Simulating metagenomic stable isotope probing datasets with MetaSIPSim}},
  author = {Barnett, Samuel E. and Buckley, Daniel H.},
  journal = {BMC Bioinformatics},
  volume = {21},
  number = {1},
  pages = {37},
  year = {2020},
  doi = {10.1186/s12859-020-3372-6}
}

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