Dirk Steinhauser

TL;DR: GD, The Golm Metabolome Database is presented, an open access metabolome database, which provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds.

TL;DR: A platform for mass spectral and retention time index libraries that will enable metabolite profiling and should ameliorate many of the problems that each laboratory will face both for the initial establishment of metabolome analysis and for its maintenance at a constant sample throughput.

TL;DR: New developments are presented, including improvements of the gene assignments and the user interface, a strategy to visualize multilayered datasets, and extensions of the software to incorporate more biological information including visualization of coresponding genes and horizontal searches for similar global responses across large numbers of arrays.

TL;DR: Examples from the literature, wherein co-expression has been used to corroborate and discover various aspects of plant biology are presented, and statistical issues including how normalization of gene expression data can influence co- expression results are discussed.

TL;DR: The metabolite composition together with gene expression data is incorporated to provide a more comprehensive insight on system level stress adjustments by describing detailed time‐resolved E. coli response to five different perturbations.