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Comparisons across multiple organisms, for example, whether gene connectivity is less for FN genes, were analyzed with permutation tests.
The user can select one or multiple organisms for which complete genomes are available in KEGG; for these organisms a list of enzymes (with E.C. numbers) that are associated with a gene from any of the organisms is determined.
Additional information includes links to databases, such as Reactome, BioCyc, NCI Nature PID, DIP, BIND, HPRD, BioGRID, MINT, and Intact, which represent the major repositories of interacions from multiple organisms for further bioinformatics analysis.
A recent example is represented by the Integrative multi-species prediction (IMP) web server [ 4] which integrates prior knowledge and data collections from multiple organisms for the generation of novel functional working hypotheses used in experimental follow-up.
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De novo genome assembly from shotgun sequencing data was used to obtain comprehensive and deeply sampled genomic datasets (up to 25 × coverage) for multiple organisms from AMD biofilms (Tyson et al., 2004; Allen et al., 2007; Lo et al., 2007; Simmons et al., 2008), which allowed for a direct analysis of in situ population heterogeneity.
Percentages are for each column and can be > 100% because of multiple organisms cultured for some patients.
The 454 technology has been successfully used for developing SNP resources for multiple organisms with limited genomic resources [ 49- 51].
While this suggest the possible existence of a general rule for Dicer processing that applies for multiple organisms and not just mammalian precursors, a larger dataset is needed to verify that sequence composition at positions 7 9 nucleotides serves as the primary recognition signal for Dicer.
The SYSTERS set of protein families [ 30] for multiple organisms was parsed to retrieve protein sequence identifiers and SYSTERS family identifiers for pairs of organism as well as for single organisms in the given organism space.
This method for systemic RNAi via feeding has been adapted for multiple organisms including, but not limited to, the house cricket (Acheta domesticus), the lepidopteran pest Spodoptera exigua, the brown apple moth (Epiphyas postwittana), the termite Reticulitermes flavipes, and planarians [ 29– 33].
This raises the question of whether ecosystem-level behavior of structured communities can be predicted using genome-scale metabolic models for multiple organisms.
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