The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis
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Citations
Cites
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
Fast algorithms for large-scale genome alignment and comparison
Delcher, A. L. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.11.2478 · Cited by 1,036
Functional metagenomic profiling of nine biomes
Dinsdale, E. A., Edwards, R. A., Hall, D., Angly, F., Breitbart, M., Brulc, J. M., Furlan, M., Desnues, C., Haynes, M., Li, L., et al. (2008) · Nature · doi:10.1038/nature06810 · Cited by 980
Cited by
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Steinegger, M., & Söding, J. (2017) · Nature Biotechnology · doi:10.1038/nbt.3988 · Cited by 4,840
Multi-omics approaches to disease
Hasin, Y., Seldin, M., & Lusis, A. (2017) · Genome Biology · doi:10.1186/s13059-017-1215-1 · Cited by 2,953
Clustering huge protein sequence sets in linear time
Steinegger, M., & Söding, J. (2018) · Nature Communications · doi:10.1038/s41467-018-04964-5 · Cited by 875
Benzodiazepines: use, abuse, and consequences.
Woods, J. H., Katz, J. L., & Winger, G. (1992) · Pharmacological Reviews · doi:10.1016/s0031-6997(25)00468-5 · Cited by 560
Ercolini, D. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.00256-13 · Cited by 479
Metadata
- Authors
- Scholz, M. B., Lo, C.-C., & Chain, P. S.
- Venue
- Current Opinion in Biotechnology
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 23
- Issue
- 1
- Pages
- 9-15
- ISSN
- 0958-1669 (ISSN-L)
- OpenAlex
- W2077210509
- Cited by
- 381
- References
- 5
- FWCI
- 1.82
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis. https://app.cochat.ai/papers/10.1016/j.copbio.2011.11.013
- The paper
- Scholz, M. B., Lo, C.-C., & Chain, P. S. (2012). Next generation sequencing and bioinformatic bottlenecks: the current state of metagenomic data analysis. Current Opinion in Biotechnology. https://doi.org/10.1016/j.copbio.2011.11.013
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.
