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CAMERA: A Community Resource for Metagenomics
Open accessAbstract
Microbes are responsible for most of the chemical transformations that are crucial to sustaining life on Earth. Their ability to inhabit almost any environmental niche suggests that they possess an incredible diversity of physiological capabilities. However, we have little to no information on a majority of the millions of microbial species that are predicted to exist, mainly because of our inability to culture them in the laboratory.A growing discipline called metagenomics allows us to study these uncultured organisms by deciphering their genetic information from DNA that is extracted directly from their environment, thus effectively bypassing the laboratory culture step. Metagenomics allows us to address the questions “who's there?”, “what are they doing?”, and “how are they doing it?”, offering insights into the evolutionary history as well as previously unrecognized physiological abilities of uncultured communities.
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Cited by
Integrative analysis of environmental sequences using MEGAN4
Huson, D. H., Mitra, S., Ruscheweyh, H.-J., Weber, N., & Schuster, S. C. (2011) · Genome Research · doi:10.1101/gr.120618.111 · Cited by 1,541
Aguiar-Pulido, V., Huang, W., Suarez-Ulloa, V., Cickovski, T., Mathee, K., & Narasimhan, G. (2016) · Evolutionary Bioinformatics · doi:10.4137/ebo.s36436 · Cited by 499
Chapter 12: Human Microbiome Analysis
Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496
A Bioinformatician's Guide to Metagenomics
Kunin, V., Copeland, A., Lapidus, A., Mavromatis, K., & Hugenholtz, P. (2008) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00009-08 · Cited by 490
Evolution and diversity of Rickettsiabacteria
Weinert, L. A., Werren, J. H., Aebi, A., Stone, G. N., & Jiggins, F. M. (2009) · BMC Biology · doi:10.1186/1741-7007-7-6 · Cited by 414
Metadata
- Authors
- Seshadri, R., Kravitz, S. A., Smarr, L., Gilna, P., & Frazier, M.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-03-13
- Volume
- 5
- Issue
- 3
- Pages
- e75
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2042893247
- Cited by
- 388
- References
- 0
- FWCI
- 15.80
- Type
- journal article
- Language
- en
- Open access
- gold
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- Seshadri, R., Kravitz, S. A., Smarr, L., Gilna, P., & Frazier, M. (2007). CAMERA: A Community Resource for Metagenomics. PLoS Biology. https://doi.org/10.1371/journal.pbio.0050075
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.