Genome-guided transcriptome assembly in the age of next-generation sequencing

Liliana D. Florea; Steven L. Salzberg

doi:10.1109/TCBB.2013.140

Genome-guided transcriptome assembly in the age of next-generation sequencing

Liliana D. Florea, Steven L. Salzberg

School of Medicine

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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.

Original language	English (US)
Article number	6654138
Pages (from-to)	1234-1240
Number of pages	7
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics
Volume	10
Issue number	5
DOIs	https://doi.org/10.1109/TCBB.2013.140
State	Published - Sep 2013

Keywords

Algorithms
Biology and genetics
Computer applications
Medicine and science

ASJC Scopus subject areas

Biotechnology
Genetics
Applied Mathematics

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10.1109/TCBB.2013.140

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Genome-guided transcriptome assembly in the age of next-generation sequencing

Abstract

Keywords

ASJC Scopus subject areas

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