PubMed: Next-generation gap.

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Related Articles Next-generation gap.

Nat Methods. 2009 Nov;6(11 Suppl):S2-5

Authors: McPherson JD

There is a growing gap between the generation of massively parallel sequencing output and the ability to process and analyze the resulting data. New users are left to navigate a bewildering maze of base calling, alignment, assembly and analysis tools with often incomplete documentation and no idea how to compare and validate their outputs. Bridging this gap is essential, or the coveted $1,000 genome will come with a $20,000 analysis price tag.

PMID: 19844227 [PubMed - in process]



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[lcollado]

This paper, which refers readers to SEQanswers ^_^, is actually part of a focus on NGS by Nature Methods. There are other quite interesting papers (reviews to be more exact) on this focus:

Sense from sequence reads: methods for alignment and assembly
Paul Flicek & Ewan Birney

Computational methods for discovering structural variation with next-generation sequencing
Paul Medvedev, Monica Stanciu & Michael Brudn

Computation for ChIP-seq and RNA-seq studies
Shirley Pepke, Barbara Wold & Ali Mortazavi

Greetings,
Leo

[ECO]

But they should also read current review articles that aim to demystify the software landscape, as well as learning from others who have bridged the gap through discussion forums such as SEQanswers (http://seqanswers.com/) that provide instant access to a next-generation sequencing user community.

We're famous again.