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</script>Advances in genome sequencing have progressed at a rapid pace, with increased throughput accompanied by plunging costs. But these advances go far beyond faster and cheaper. High‐throughput sequencing technologies are now routinely being applied to a wide range of important topics in biology and medicine, often allowing researchers to address important biological questions that were not possible before. In this review, we discuss these innovative new approaches—including ever finer analyses of transcriptome dynamics, genome structure and genomic variation—and provide an overview of the new insights into complex biological systems catalyzed by these technologies. We also assess the impact of genotyping, genome sequencing and personal omics profiling on medical applications, including diagnosis and disease monitoring. Finally, we review recent developments in single‐cell sequencing, and conclude with a discussion of possible future advances and obstacles for sequencing in biology and health.
Epigenomics, Medicine (General), medicine, Biomedical Research, Genome, biology, QH301-705.5, Gene Expression Profiling, Genetic Variation, High-Throughput Nucleotide Sequencing, sequencing, Review Article, high‐throughput, Histones, R5-920, Humans, Biology (General), Single-Cell Analysis, technologies
Epigenomics, Medicine (General), medicine, Biomedical Research, Genome, biology, QH301-705.5, Gene Expression Profiling, Genetic Variation, High-Throughput Nucleotide Sequencing, sequencing, Review Article, high‐throughput, Histones, R5-920, Humans, Biology (General), Single-Cell Analysis, technologies
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 267 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
