Sentence examples for analyses of multiple genes from inspiring English sources

Phylogenetic analyses of multiple genes, including the mating loci (HMG, TPT, RNA helicase), ITS1-5.8S-ITS2 rDNandRPB2, and LDH genes, identified two distinct groups of strains.

To enable parallel analyses of multiple genes in this study, we used RT-PCR to quantify mRNA levels and assume it as a proxy to protein measure in bacteria [39].

The combined phylogenetic analyses of multiple genes have become popular due to the poor resolution of phylogenies based on single loci [30], and have successfully inferred better-resolved phylogenies within the major taxonomic groups, including animals [31], plants [32], fungi [33] and bacteria [34].

The circumscription, monophyly, and relationships of magnoliids has only recently been established based on phylogenetic analyses of multiple genes [ 14, 15].

Future study by the combined analyses of multiple genes might contribute to identify the gene combination that more accurately predicts disease outcome.

Relationships within Annelida based on our analyses of multiple genes challenge the current classification scheme, and some alternative hypotheses are provided.

Phylogenetic analyses of multiple gene families bear out this impression, displaying evidence of duplications at every phylogenetic level (e.g., [ 27, 56- 58]).

Here we report the first comparative analyses of multiple gene transcription data sets obtained in parallel with different microarray technologies over several popular normalisation methods using multiple cross-platform concordance criteria.

In addition to the simultaneous visualization of different networks, additional analysis tools such as motif search and identification, GO-enrichment analysis, and tools to overlay expression data or analyse expression profiles of multiple genes across different conditions can be used.

We therefore conclude that MPLA is a robust, low-cost, rapid, high-throughput method to analyse the status of multiple genes in frozen primary tumour; it is not reliably informative in paraffin-embedded material (results not shown).

We can now analyse the expression patterns of multiple genes by use of microarrays, rapid gene sequencing, and proteomics, and so need to reassess the way we design clinical trials to take full advantage of these new opportunities.