A biologist, a statistician, and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan

doi:10.3389/fpls.2014.00250

. 2014 Jun 3:5:250.

doi: 10.3389/fpls.2014.00250. eCollection 2014.

A biologist, a statistician, and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan

Ann E Stapleton¹

Affiliations

PMID: 24917875
PMCID: PMC4042100
DOI: 10.3389/fpls.2014.00250

A biologist, a statistician, and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan

Ann E Stapleton. Front Plant Sci. 2014.

. 2014 Jun 3:5:250.

doi: 10.3389/fpls.2014.00250. eCollection 2014.

Author

Ann E Stapleton¹

Affiliation

¹ Biology and Marine Biology, University of North Carolina Wilmington Wilmington, NC, USA.

PMID: 24917875
PMCID: PMC4042100
DOI: 10.3389/fpls.2014.00250

No abstract available

Keywords: computational resources; metadata; metagenomes; metagenomic experimental design; multivariate data analysis; optimal experimental design; statistical analysis.

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High Throughput Sequencing for Detection of Foodborne Pathogens.
Sekse C, Holst-Jensen A, Dobrindt U, Johannessen GS, Li W, Spilsberg B, Shi J. Sekse C, et al. Front Microbiol. 2017 Oct 20;8:2029. doi: 10.3389/fmicb.2017.02029. eCollection 2017. Front Microbiol. 2017. PMID: 29104564 Free PMC article. Review.

References

1. Ashburner M., Ball C. A., Blake J. A., Botstein D., Butler H., Cherry J. M., et al. (2000). Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 10.1038/75556 - DOI - PMC - PubMed
1. Calabrese E. J., Blain R. (2005). The occurrence of hormetic dose responses in the toxicological literature, the hormesis database: an overview. Toxicol. Appl. Pharmacol. 202, 289–301 10.1016/j.taap.2004.06.023 - DOI - PubMed
1. Gallagher C. M., Fisher T. J., Shen J. (2014). A Cauchy estimator test for autocorrelation. J. Stat. Comput. Simul. 1–13 10.1080/00949655.2013.874424 (in press). - DOI
1. Harari O., Steinberg D. M. (2013). Optimal designs for Gaussian process models via spectral decomposition. J. Stat. Plan. Inference 10.1016/j.jspi.2013.11.013 (in press). - DOI
1. Human Microbiome Project Consortium. (2012). Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 10.1038/nature11234 - DOI - PMC - PubMed

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[1] Ashburner M., Ball C. A., Blake J. A., Botstein D., Butler H., Cherry J. M., et al. (2000). Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 10.1038/75556 - DOI - PMC - PubMed

[2] Ashburner M., Ball C. A., Blake J. A., Botstein D., Butler H., Cherry J. M., et al. (2000). Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 10.1038/75556 - DOI - PMC - PubMed

[3] Calabrese E. J., Blain R. (2005). The occurrence of hormetic dose responses in the toxicological literature, the hormesis database: an overview. Toxicol. Appl. Pharmacol. 202, 289–301 10.1016/j.taap.2004.06.023 - DOI - PubMed

[4] Calabrese E. J., Blain R. (2005). The occurrence of hormetic dose responses in the toxicological literature, the hormesis database: an overview. Toxicol. Appl. Pharmacol. 202, 289–301 10.1016/j.taap.2004.06.023 - DOI - PubMed

[5] Gallagher C. M., Fisher T. J., Shen J. (2014). A Cauchy estimator test for autocorrelation. J. Stat. Comput. Simul. 1–13 10.1080/00949655.2013.874424 (in press). - DOI

[6] Gallagher C. M., Fisher T. J., Shen J. (2014). A Cauchy estimator test for autocorrelation. J. Stat. Comput. Simul. 1–13 10.1080/00949655.2013.874424 (in press). - DOI

[7] Harari O., Steinberg D. M. (2013). Optimal designs for Gaussian process models via spectral decomposition. J. Stat. Plan. Inference 10.1016/j.jspi.2013.11.013 (in press). - DOI

[8] Harari O., Steinberg D. M. (2013). Optimal designs for Gaussian process models via spectral decomposition. J. Stat. Plan. Inference 10.1016/j.jspi.2013.11.013 (in press). - DOI

[9] Human Microbiome Project Consortium. (2012). Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 10.1038/nature11234 - DOI - PMC - PubMed

[10] Human Microbiome Project Consortium. (2012). Structure, function and diversity of the healthy human microbiome. Nature 486, 207–214 10.1038/nature11234 - DOI - PMC - PubMed

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A biologist, a statistician, and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan

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A biologist, a statistician, and a bioinformatician walk into a conference room… and walk out with a great metagenomics project plan

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Affiliation

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