The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
A Bioinformatician's Guide to Metagenomics
Open accessAbstract
SUMMARY: As random shotgun metagenomic projects proliferate and become the dominant source of publicly available sequence data, procedures for the best practices in their execution and analysis become increasingly important. Based on our experience at the Joint Genome Institute, we describe the chain of decisions accompanying a metagenomic project from the viewpoint of the bioinformatic analysis step by step. We guide the reader through a standard workflow for a metagenomic project beginning with presequencing considerations such as community composition and sequence data type that will greatly influence downstream analyses. We proceed with recommendations for sampling and data generation including sample and metadata collection, community profiling, construction of shotgun libraries, and sequencing strategies. We then discuss the application of generic sequence processing steps (read preprocessing, assembly, and gene prediction and annotation) to metagenomic data sets in contrast to genome projects. Different types of data analyses particular to metagenomes are then presented, including binning, dominant population analysis, and gene-centric analysis. Finally, data management issues are presented and discussed. We hope that this review will assist bioinformaticians and biologists in making better-informed decisions on their journey during a metagenomic project.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
Altschul, S. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.17.3389 · Cited by 73,302
DNA sequencing with chain-terminating inhibitors
Sanger, F., Nicklen, S., & Coulson, A. R. (1977) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.74.12.5463 · Cited by 68,572
The Pfam Protein Families Database
Bateman, A. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.276 · Cited by 14,000
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
tRNAscan-SE: A Program for Improved Detection of Transfer RNA Genes in Genomic Sequence
Lowe, T. M., & Eddy, S. R. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.5.955 · Cited by 10,905
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Self-citationDatabase resources of the National Center for Biotechnology Information: update
Wheeler, D. L. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh073 · Cited by 10,641
Genome sequencing in microfabricated high-density picolitre reactors
Margulies, M., Egholm, M., Altman, W. E., Attiya, S., Bader, J. S., Bemben, L. A., Berka, J., Braverman, M. S., Chen, Y.-J., Chen, Z., et al. (2005) · Nature · doi:10.1038/nature03959 · Cited by 7,693
Base-Calling of Automated Sequencer Traces Using Phred. I. Accuracy Assessment
Ewing, B., Hillier, L., Wendl, M. C., & Green, P. (1998) · Genome Research · doi:10.1101/gr.8.3.175 · Cited by 6,967
ARB: a software environment for sequence data
Ludwig, W. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh293 · Cited by 6,702
Cited by
Namiki, T., Hachiya, T., Tanaka, H., & Sakakibara, Y. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks678 · Cited by 668
Greninger, A. L., Naccache, S. N., Federman, S., Yu, G., Mbala, P., Bres, V., Stryke, D., Bouquet, J., Somasekar, S., Linnen, J. M., et al. (2015) · Genome Medicine · doi:10.1186/s13073-015-0220-9 · Cited by 558
Protein structure determination using metagenome sequence data
Ovchinnikov, S., Park, H., Varghese, N., Huang, P.-S., Pavlopoulos, G. A., Kim, D. E., Kamisetty, H., Kyrpides, N. C., & Baker, D. (2017) · Science · doi:10.1126/science.aah4043 · Cited by 520
The Human Microbiome Project: A Community Resource for the Healthy Human Microbiome
Gevers, D., Knight, R., Petrosino, J. F., Huang, K., McGuire, A. L., Birren, B. W., Nelson, K. E., White, O., Methé, B. A., & Huttenhower, C. (2012) · PLoS Biology · doi:10.1371/journal.pbio.1001377 · Cited by 493
Chapter 12: Human Microbiome Analysis
Morgan, X. C., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002808 · Cited by 496
Metadata
- Authors
- Kunin, V., Copeland, A., Lapidus, A., Mavromatis, K., & Hugenholtz, P.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2008-12
- Volume
- 72
- Issue
- 4
- Pages
- 557-578
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2055503200
- Cited by
- 490
- References
- 154
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Bioinformatician's Guide to Metagenomics. https://app.cochat.ai/papers/10.1128/mmbr.00009-08
- The paper
- Kunin, V., Copeland, A., Lapidus, A., Mavromatis, K., & Hugenholtz, P. (2008). A Bioinformatician's Guide to Metagenomics. Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.00009-08
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
