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The Genevestigator database contains a large set of systematically annotated and quality controlled microarray data from several organisms [ 29].
Those kinds of data from several organisms will provide information about the genomic factor(s) that contribute to the variation of inbreeding depression among those species.
Recent advances in experimental science and in literature mining techniques have generated a considerable amount of protein protein interaction (PPI) data from several organisms.
Here we show that pooling mtDNA data from several organisms, when there is reasonable a priori expectation of them having a shared evolutionary history, improves confidence in the inferred phylogeographic patterns.
Based on data from several organisms, including fish, rRNA gene families seem to evolve according to a combination of the evolutionary processes of birth-and-death and concerted evolution [ 6, 61], which could explain the variability observed among related taxa.
The use of PPI data from several organisms has predominantly been in the form of (i) features derived from various PPI datasets, (ii) use of common structural properties of proteins across organisms (Wang et al., 2007) or (iii) methods that narrow down predicted interactions in the organism of interest (Garcia et al., 2010).
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The availability of great amounts of raw genomic and transcriptome data collected from several organisms has prompted the development of large-scale gene expression analysis which will ultimately help to unravel the function of many genes in diverse biological contexts.
Although miRTarBase has comprehensive information of miRNA targets from several organisms, but it has scarce data on viral miRNA targets.
Large-scale data of protein-protein interactions have become available from several organisms, including Saccharomyces cerevisiae (yeast; [ 1- 4]), Caenorhabditis elegans (worm; [ 5]), Drosophila melanogaster (fly; [ 6]), Homo sapiens (human; [ 7, 8]), and Plasmodium falciparum (malaria parasite; [ 9]).
GENT provides Affymetrix microarray data from tumor and normal samples, while Expression Atlas at EBI provides differential and baseline expression from several organisms.
Here we report the structure of RmlC from several organisms in complex with product and product mimics.
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