Title :
Genome-Guided Transcriptome Assembly in the Age of Next-Generation Sequencing
Author :
Florea, Liliana D. ; Salzberg, Steven L.
Author_Institution :
Johns Hopkins Sch. of Med., McKusick-Nathans Inst. of Genetic Med., Baltimore, MD, USA
Abstract :
Next generation sequencing technologies provide unprecedented power to explore the repertoire of genes and their alternative splice variants, collectively defining the transcriptome of a species in great detail. However, assembling the short reads into full-length gene and transcript models presents significant computational challenges. We review current algorithms for assembling transcripts and genes from next generation sequencing reads aligned to a reference genome, and lay out areas for future improvements.
Keywords :
bioinformatics; genetics; genomics; reviews; self-assembly; gene repertoire; gene splice variants; gene transcript assembly; genome-guided transcriptome assembly; next-generation sequencing technologies; Algorithm design and analysis; Biological system modeling; Decision support systems; Genetics; Algorithms; biology and genetics; computer applications; medicine and science;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2013.140