Next-generation transcriptome assembly
Journal Article
·
· Nature Reviews Genetics, Online
Transcriptomics studies often rely on partial reference transcriptomes that fail to capture the full catalog of transcripts and their variations. Recent advances in sequencing technologies and assembly algorithms have facilitated the reconstruction of the entire transcriptome by deep RNA sequencing (RNA-seq), even without a reference genome. However, transcriptome assembly from billions of RNA-seq reads, which are often very short, poses a significant informatics challenge. This Review summarizes the recent developments in transcriptome assembly approaches - reference-based, de novo and combined strategies-along with some perspectives on transcriptome assembly in the near future.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- Genomics Division
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 1076789
- Report Number(s):
- LBNL-5363E
- Journal Information:
- Nature Reviews Genetics, Online, Vol. 12, Issue 10; ISSN 1471--0056
- Country of Publication:
- United States
- Language:
- English
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