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@ARTICLE{Usadel:132999,
      author       = {Usadel, Björn and Fernie, A.R.},
      title        = {{T}he plant transcriptome—from integrating observations
                      to models},
      journal      = {Frontiers in Plant Physiology},
      volume       = {4},
      number       = {48},
      issn         = {1664-462X},
      address      = {Lausanne},
      publisher    = {Frontiers Media83580},
      reportid     = {FZJ-2013-01568},
      pages        = {1-3},
      year         = {2013},
      abstract     = {Transcriptomes as assessed by either microarrays or
                      next-generation sequencing have produced a hitherto
                      unprecedented data flood regarding transcript identity and
                      levels in plant systems. Microarray data has been
                      extensively used over the last 15 years or so and evaluation
                      of the data thus produced has progressed well beyond early
                      statistically quality evaluation and descriptive lists to a
                      mature science whereby gene networks and cascades have been
                      able to provide mechanistic insight. The development of
                      sensitive quantitative PCR for lowly expressed genes such as
                      transcription factors has additionally allowed another layer
                      of complexity to be accessed and the modeling of
                      transcription factor expression with that of target genes
                      has met considerable success. Yet more recently, data
                      emanating from RNAseq studies have greatly improved the
                      coverage of transcript profiling. That said, this technology
                      further compounded transcriptome analysis by making it
                      possible to identify differentially spliced transcripts etc.
                      In this research topic we would like to provide an “on the
                      fly” portrait of the use of either microarray or RNAseq
                      based datasets in contemporary Plant Systems Biology.},
      cin          = {IBG-2},
      ddc          = {580},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {242 - Sustainable Bioproduction (POF2-242)},
      pid          = {G:(DE-HGF)POF2-242},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000329584400001},
      doi          = {10.3389/fpls.2013.00048},
      url          = {https://juser.fz-juelich.de/record/132999},
}