The DOI matches its Crossref record; 109 of the 109 references it cites were found in a registry or an index.
RNA-seq: from technology to biology
Open accessAbstract
Next-generation sequencing technologies are now being exploited not only to analyse static genomes, but also dynamic transcriptomes in an approach termed RNA-seq. Although these powerful and rapidly evolving technologies have only been available for a couple of years, they are already making substantial contributions to our understanding of genome expression and regulation. Here, we briefly describe technical issues accompanying RNA-seq data generation and analysis, highlighting differences to array-based approaches. We then review recent biological insight gained from applying RNA-seq and related approaches to deeply sample transcriptomes in different cell types or physiological conditions. These approaches are providing fascinating information about transcriptional and post-transcriptional gene regulation, and they are also giving unique insight into the richness of transcript structures and processing on a global scale and at unprecedented resolution.
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Cites
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Cited by
Improving RNA-Seq expression estimates by correcting for fragment bias
Roberts, A., Trapnell, C., Donaghey, J., Rinn, J. L., & Pachter, L. (2011) · Genome Biology · doi:10.1186/gb-2011-12-3-r22 · Cited by 1,725
Dillies, M.-A., Rau, A., Aubert, J., Hennequet-Antier, C., Jeanmougin, M., Servant, N., Keime, C., Marot, G., Castel, D., Estelle, J., et al. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs046 · Cited by 1,298
Next-generation transcriptome assembly
Martin, J. A., & Wang, Z. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3068 · Cited by 1,253
Methods of integrating data to uncover genotype-phenotype interactions
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Sequencing technologies and genome sequencing
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Metadata
- Authors
- Marguerat, S., & Bähler, J.
- Venue
- Cellular and Molecular Life Sciences
- Published
- 2009-10-27
- Volume
- 67
- Issue
- 4
- Pages
- 569-579
- ISSN
- 1420-682X (ISSN-L)
- 1420-9071
- OpenAlex
- W2004419591
- Cited by
- 531
- References
- 109
- FWCI
- 12.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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