Open AccessTranscriptome assembly strategies for precision medicine
Author(s) -
Wang Lu,
Acharya Lipi,
Bai Changxin,
Zhu Dongxiao
Publication year - 2017
Publication title -
quantitative biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.707
H-Index - 15
eISSN - 2095-4697
pISSN - 2095-4689
DOI - 10.1007/s40484-017-0109-2
Subject(s) - transcriptome , computational biology , rna seq , precision medicine , de novo transcriptome assembly , dna sequencing , rna , biology , human genome , dna , gene , genome , genetics , gene expression
Background Precision medicine approach holds great promise to tailored diagnosis, treatment and prevention. Individuals can be vastly different in their genomic information and genetic mechanisms hence having unique transcriptomic signatures. The development of precision medicine hasdemanded moving beyond DNA sequencing (DNA‐Seq) to much more pointed RNA‐sequencing (RNA‐Seq) [ Cell , 2017, 168: 584–599]. Results Here we conduct a brief survey on the recent methodology development of transcriptome assembly approach using RNA‐Seq. Conclusions Since transcriptomes in human disease are highly complex, dynamic and diverse, transcriptome assembly is playing an increasingly important role in precision medicine research to dissect the molecular mechanisms of the human diseases.