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Simplifying complexity

Nature Methods volume 7, pages 793–795 (2010)Cite this article

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A software tool based on gene model profiling improves analysis of alternative splice events in RNA sequencing (RNA-seq) data.

Massive-scale short-tag RNA sequencing (RNA-seq) is rapidly becoming the tool of choice for surveying gene expression and transcriptome content in complex organisms. RNA-seq offers many advantages over microarray-based surveys, but the relative infancy of the field is reflected in the paucity of comprehensive analysis tools available. In this issue, Griffith et al. describe alternative expression analysis by sequencing (ALEXA-seq)1; a software package that identifies and quantifies the genomic features of gene expression, providing a substantial step forward for genome-wide surveys of alternative splicing.

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Figure 1: Three models of transcriptome reconstruction.

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Authors and Affiliations

  1. Nicole Cloonan and Sean M. Grimmond are at Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.,

    Nicole Cloonan & Sean M Grimmond

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  1. Nicole Cloonan
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  2. Sean M Grimmond
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Correspondence to Nicole Cloonan.

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The authors declare no competing financial interests.

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Cloonan, N., Grimmond, S. Simplifying complexity. Nat Methods 7, 793–795 (2010). https://doi.org/10.1038/nmeth1010-793

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