The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Average genome size estimation improves comparative metagenomics and sheds light on the functional ecology of the human microbiome
Open accessAbstract
Average genome size is an important, yet often overlooked, property of microbial communities. We developed MicrobeCensus to rapidly and accurately estimate average genome size from shotgun metagenomic data and applied our tool to 1,352 human microbiome samples. We found that average genome size differs significantly within and between body sites and tracks with major functional and taxonomic differences. In the gut, average genome size is positively correlated with the abundance of Bacteroides and genes related to carbohydrate metabolism. Importantly, we found that average genome size variation can bias comparative analyses, and that normalization improves detection of differentially abundant genes.
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Cites
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
Diversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Ecological and Evolutionary Forces Shaping Microbial Diversity in the Human Intestine
Ley, R. E., Peterson, D. A., & Gordon, J. I. (2006) · Cell · doi:10.1016/j.cell.2006.02.017 · Cited by 3,358
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
A framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650
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Yin, X., Jiang, X.-T., Chai, B., Li, L., Yang, Y., Cole, J. R., Tiedje, J. M., & Zhang, T. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty053 · Cited by 710
Nayfach, S., Rodriguez-Mueller, B., Garud, N., & Pollard, K. S. (2016) · Genome Research · doi:10.1101/gr.201863.115 · Cited by 470
Self-citationAdaptive Evolution within Gut Microbiomes of Healthy People
Zhao, S., Lieberman, T. D., Poyet, M., Kauffman, K. M., Gibbons, S. M., Groussin, M., Xavier, R. J., & Alm, E. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.03.007 · Cited by 434
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Metadata
- Authors
- Nayfach, S., & Pollard, K. S.
- Venue
- Genome Biology
- Published
- 2015-03-25
- Volume
- 16
- Issue
- 1
- Pages
- 51-51
- ISSN
- 1465-6906 (ISSN-L)
- OpenAlex
- W2094116491
- Cited by
- 359
- References
- 16
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- gold
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- Nayfach, S., & Pollard, K. S. (2015). Average genome size estimation improves comparative metagenomics and sheds light on the functional ecology of the human microbiome. Genome Biology. https://doi.org/10.1186/s13059-015-0611-7
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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