Sentence examples for expression profiling information from inspiring English sources

More gene expression profiling information would be an addition to our knowledge base of parturition.

Therefore, the joint analysis of miRNA and mRNA utilizing their dual expression profiling information will make the findings more accurate.

It has many useful features for interactive mining of EST contigs and datasets from each library, including curation of annotated information, expression profiling, information retrieval, and summary of statistics of functional annotation.

In conclusion, utilizing miRNA and mRNA dual expression profiling information to perform data analysis can help reveal important findings with regard to the underlying molecular mechanisms of breast cancer subtype and also help to identify candidate breast cancer subtype related miRNAs using the distinct network properties.

A key difference between our method and other network-based methods is that we constructed two miRNAs interaction networks utilizing miRNA-mRNA dual expression profiling information arising from the same samples and identified the common miRNAs showing the outstanding topological properties in both of the two networks.

Global genome assays provide vast amounts of gene expression profile information and could help to clarify these unsolved scientific issues.

Combining expression profile information with miRNA target prediction, we identified miRNA-mRNA pairs that correlate with ES cell pluripotence and differentiation.

Thus, we verified the gain of each type of information in respect to the expression profile information.

Our study substantially increases the number of known miRNA in sugarcane and it also provides detailed genotype-tissue-culture miRNA expression profile information for future studies.

For example, Cabili et al. analysed lincRNAs in 24 tissues and mapped out nearly 9000 lincRNAs coupled to expression profile information [ 8].

We analyzed the distribution of our motifs within the P. falciparum genome, looking for positional biases relative to transcription start sites and predicted promoters, and for enrichment in functional sets of genes built from gene ontology and gene expression profiles information.