The DOI matches its Crossref record; 135 of the 135 references it cites were found in a registry or an index.
The Road to Metagenomics: From Microbiology to DNA Sequencing Technologies and Bioinformatics
Open accessAbstract
The study of microorganisms that pervade each and every part of this planet has encountered many challenges through time such as the discovery of unknown organisms and the understanding of how they interact with their environment. The aim of this review is to take the reader along the timeline and major milestones that led us to modern metagenomics. This new and thriving area is likely to be an important contributor to solve different problems. The transition from classical microbiology to modern metagenomics studies has required the development of new branches of knowledge and specialization. Here, we will review how the availability of high-throughput sequencing technologies has transformed microbiology and bioinformatics and how to tackle the inherent computational challenges that arise from the DNA sequencing revolution. New computational methods are constantly developed to collect, process, and extract useful biological information from a variety of samples and complex datasets, but metagenomics needs the integration of several of these computational methods. Despite the level of specialization needed in bioinformatics, it is important that life-scientists have a good understanding of it for a correct experimental design, which allows them to reveal the information in a metagenome.
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MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis
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Current challenges and best-practice protocols for microbiome analysis
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Levy Karin, E., Mirdita, M., & Söding, J. (2020) · Microbiome · doi:10.1186/s40168-020-00808-x · Cited by 299
Pearman, W. S., Freed, N. E., & Silander, O. K. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-3528-4 · Cited by 114
Poulsen, C. S., Ekstrøm, C. T., Aarestrup, F. M., & Pamp, S. J. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.00090-22 · Cited by 50
Metadata
- Authors
- Escobar-Zepeda, A., Vera-Ponce de León, A., & Sanchez-Flores, A.
- Venue
- Frontiers in Genetics
- Publisher
- Frontiers Media SA
- Published
- 2015-12-17
- Volume
- 6
- Pages
- 348-348
- ISSN
- 1664-8021 (ISSN-L)
- OpenAlex
- W2229420368
- Cited by
- 363
- References
- 135
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
