The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
High-Throughput Sequencing Technologies
Open accessAbstract
Summary The human genome sequence has profoundly altered our understanding of biology, human diversity and disease. The path from the first draft sequence to our nascent era of personal genomes and genomic medicine has been made possible only because of the extraordinary advancements in DNA sequencing technologies over the past ten years. Here, we discuss commonly used high-throughput sequencing platforms, the growing array of sequencing assays developed around them as well as the challenges facing current sequencing platforms and their clinical application.
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Cites
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Self-citationAn obesity-associated gut microbiome with increased capacity for energy harvest
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The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
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Self-citationUsing machine learning approaches for multi-omics data analysis: A review
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Metadata
- Authors
- Reuter, J. A., Spacek, D. V., & Snyder, M. P.
- Venue
- Molecular Cell
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 58
- Issue
- 4
- Pages
- 586-597
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W1577822803
- Cited by
- 1,338
- References
- 38
- FWCI
- 34.22
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.