De novo transcript sequence reconstruction from RNA-Seq: reference generation and analysis with Trinity

De novo transcript sequence reconstruction from RNA-Seq: reference generation and analysis with Trinity

De novo assembly of RNA-seq data enables researchers to study transcriptomes without the need for a genome sequence; this approach can be usefully applied, for instance, in research on 'non-model organisms' of ecological and evolutionary importance, cancer samples or the microbiome. In thi...

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Main Authors: Haas, Brian J. (Author), Papanicolaou, Alexie (Author), Yassour, Moran (Author), Grabherr, Manfred G. (Author), Blood, Philip D. (Author), Bowden, Joshua (Author), Couger, Matthew Brian (Author), Eccles, David (Author), Li, Bo (Author), Lieber, Matthias (Author), MacManes, Matthew D. (Author), Ott, Michael (Author), Orvis, Joshua (Author), Pochet, Nathalie (Author), Strozzi, Francesco (Author), Weeks, Nathan (Author), Westerman, Rick (Author), William, Thomas (Author), Dewey, Colin N. (Author), Henschel, Robert (Author), LeDuc, Richard D. (Author), Friedman, Nir (Author), Regev, Aviv (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2014-03-14T17:39:19Z.
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