Methods in molecular biology (Clifton, N.J.)
Silva GGZ, Lopes FAC, Edwards RA.
PMID: 28451970
Methods Mol Biol. 2017;1611:35-44. doi: 10.1007/978-1-4939-7015-5_4.
One of the main goals in metagenomics is to identify the functional profile of a microbial community from unannotated shotgun sequencing reads. Functional annotation is important in biological research because it enables researchers to identify the abundance of functional...
Cite
Silva GGZ, Lopes FAC, Edwards RA. An Agile Functional Analysis of Metagenomic Data Using SUPER-FOCUS. Methods Mol Biol. 2017;1611:35-44doi: 10.1007/978-1-4939-7015-5_4.
Silva, G. G. Z., Lopes, F. A. C., & Edwards, R. A. (2017). An Agile Functional Analysis of Metagenomic Data Using SUPER-FOCUS. Methods in molecular biology (Clifton, N.J.), 161135-44. https://doi.org/10.1007/978-1-4939-7015-5_4
Silva, Genivaldo Gueiros Z, et al. "An Agile Functional Analysis of Metagenomic Data Using SUPER-FOCUS." Methods in molecular biology (Clifton, N.J.) vol. 1611 (2017): 35-44. doi: https://doi.org/10.1007/978-1-4939-7015-5_4
Silva GGZ, Lopes FAC, Edwards RA. An Agile Functional Analysis of Metagenomic Data Using SUPER-FOCUS. Methods Mol Biol. 2017;1611:35-44. doi: 10.1007/978-1-4939-7015-5_4. PMID: 28451970.
Copy
Download .nbib
Journal of proteome research
Zhang X, Figeys D.
PMID: 31009573
J Proteome Res. 2019 Jun 07;18(6):2370-2380. doi: 10.1021/acs.jproteome.9b00054. Epub 2019 Apr 26.
The microbiome is emerging as a prominent factor affecting human health, and its dysbiosis is associated with various diseases. Compositional profiling of microbiome is increasingly being supplemented with functional characterization. Metaproteomics is intrinsically focused on functional changes and therefore...
Cite
Zhang X, Figeys D. Perspective and Guidelines for Metaproteomics in Microbiome Studies. J Proteome Res. 2019;18(6):2370-2380doi: 10.1021/acs.jproteome.9b00054.
Zhang, X., & Figeys, D. (2019). Perspective and Guidelines for Metaproteomics in Microbiome Studies. Journal of proteome research, 18(6), 2370-2380. https://doi.org/10.1021/acs.jproteome.9b00054
Zhang, Xu, and Figeys, Daniel. "Perspective and Guidelines for Metaproteomics in Microbiome Studies." Journal of proteome research vol. 18,6 (2019): 2370-2380. doi: https://doi.org/10.1021/acs.jproteome.9b00054
Zhang X, Figeys D. Perspective and Guidelines for Metaproteomics in Microbiome Studies. J Proteome Res. 2019 Jun 07;18(6):2370-2380. doi: 10.1021/acs.jproteome.9b00054. Epub 2019 Apr 26. PMID: 31009573.
Copy
Download .nbib
Briefings in bioinformatics
Ngom-Bru C, Barretto C.
PMID: 22543244
Brief Bioinform. 2012 Nov;13(6):747-50. doi: 10.1093/bib/bbs019. Epub 2012 Apr 27.
The human gut is populated by a rich and diverse microbiota that has been described as a human metabolic organ. Its composition has an impact on the health status of the host and could be the target or effector...
Cite
Ngom-Bru C, Barretto C. Gut microbiota: methodological aspects to describe taxonomy and functionality. Brief Bioinform. 2012;13(6):747-50doi: 10.1093/bib/bbs019.
Ngom-Bru, C., & Barretto, C. (2012). Gut microbiota: methodological aspects to describe taxonomy and functionality. Briefings in bioinformatics, 13(6), 747-50. https://doi.org/10.1093/bib/bbs019
Ngom-Bru, Catherine, and Barretto, Caroline. "Gut microbiota: methodological aspects to describe taxonomy and functionality." Briefings in bioinformatics vol. 13,6 (2012): 747-50. doi: https://doi.org/10.1093/bib/bbs019
Ngom-Bru C, Barretto C. Gut microbiota: methodological aspects to describe taxonomy and functionality. Brief Bioinform. 2012 Nov;13(6):747-50. doi: 10.1093/bib/bbs019. Epub 2012 Apr 27. PMID: 22543244.
Copy
Download .nbib
Current protocols
Wu YW, Singer SW.
PMID: 33961733
Curr Protoc. 2021 May;1(5):e128. doi: 10.1002/cpz1.128.
It is critical to identify individual genomes from microbiomic samples in order to carry out analysis of the microbes. Methods based on existing databases, however, may have limited capabilities in elucidating and quantifying the microbes due to the largely...
Cite
Wu YW, Singer SW. Recovering Individual Genomes from Metagenomes Using MaxBin 2.0. Curr Protoc. 2021;1(5):e128doi: 10.1002/cpz1.128.
Wu, Y. W., & Singer, S. W. (2021). Recovering Individual Genomes from Metagenomes Using MaxBin 2.0. Current protocols, 1(5), e128. https://doi.org/10.1002/cpz1.128
Wu, Yu-Wei, and Singer, Steven W. "Recovering Individual Genomes from Metagenomes Using MaxBin 2.0." Current protocols vol. 1,5 (2021): e128. doi: https://doi.org/10.1002/cpz1.128
Wu YW, Singer SW. Recovering Individual Genomes from Metagenomes Using MaxBin 2.0. Curr Protoc. 2021 May;1(5):e128. doi: 10.1002/cpz1.128. PMID: 33961733.
Copy
Download .nbib
Proceedings of the National Academy of Sciences of the United States of America
Kirsch S, Klein CA.
PMID: 22912407
Proc Natl Acad Sci U S A. 2012 Sep 04;109(36):14289-90. doi: 10.1073/pnas.1212246109. Epub 2012 Aug 21.
No abstract available.
Cite
Kirsch S, Klein CA. Sequence error storms and the landscape of mutations in cancer. Proc Natl Acad Sci U S A. 2012;109(36):14289-90doi: 10.1073/pnas.1212246109.
Kirsch, S., & Klein, C. A. (2012). Sequence error storms and the landscape of mutations in cancer. Proceedings of the National Academy of Sciences of the United States of America, 109(36), 14289-90. https://doi.org/10.1073/pnas.1212246109
Kirsch, Stefan, and Klein, Christoph A. "Sequence error storms and the landscape of mutations in cancer." Proceedings of the National Academy of Sciences of the United States of America vol. 109,36 (2012): 14289-90. doi: https://doi.org/10.1073/pnas.1212246109
Kirsch S, Klein CA. Sequence error storms and the landscape of mutations in cancer. Proc Natl Acad Sci U S A. 2012 Sep 04;109(36):14289-90. doi: 10.1073/pnas.1212246109. Epub 2012 Aug 21. PMID: 22912407; PMCID: PMC3437884.
Copy
Download .nbib
