The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Measuring differential gene expression with RNA-seq: challenges and strategies for data analysis
Open accessAbstract
RNA-seq is a methodology for RNA profiling based on next-generation sequencing that enables to measure and compare gene expression patterns at unprecedented resolution. Although the appealing features of this technique have promoted its application to a wide panel of transcriptomics studies, the fast-evolving nature of experimental protocols and computational tools challenges the definition of a unified RNA-seq analysis pipeline. In this review, focused on the study of differential gene expression with RNA-seq, we go through the main steps of data processing and discuss open challenges and possible solutions.
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Citations
Cites
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HTSeq—a Python framework to work with high-throughput sequencing data
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RNA-Seq: a revolutionary tool for transcriptomics
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Understanding mechanisms underlying human gene expression variation with RNA sequencing
Pickrell, J. K., Marioni, J. C., Pai, A. A., Degner, J. F., Engelhardt, B. E., Nkadori, E., Veyrieras, J.-B., Stephens, M., Gilad, Y., & Pritchard, J. K. (2010) · Nature · doi:10.1038/nature08872 · Cited by 1,256
Cited by
Finotello, F., Mayer, C., Plattner, C., Laschober, G., Rieder, D., Hackl, H., Krogsdam, A., Loncova, Z., Posch, W., Wilflingseder, D., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0638-6 · Cited by 1,542
Self-citationInterpretation of differential gene expression results of RNA-seq data: review and integration
McDermaid, A., Monier, B., Zhao, J., Liu, B., & Ma, Q. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bby067 · Cited by 319
Metadata
- Authors
- Finotello, F., & Di Camillo, B.
- Venue
- Briefings in Functional Genomics
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-09-18
- Volume
- 14
- Issue
- 2
- Pages
- 130-142
- ISSN
- 2041-2647 (ISSN-L)
- 2041-2649
- 2041-2657
- OpenAlex
- W2152060958
- Cited by
- 238
- References
- 24
- FWCI
- 4.75
- 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.
