Sentence examples for methods using gene from inspiring English sources

Unlike most previous phylogenetic methods using gene trees, our approach is based on a generic tree distance measure that is not linked to any specific biological processes.

Methods using gene information are based on differences in codon usage between highly expressed, lowly expressed and alien genes [ 45- 48].

We then assessed the biological implications of temporal clustering in both treatments and by both clustering methods, using gene ontology and pathway tools.

Although a few studies have demonstrated that SL is an appropriate method for the classification of gene expression data [ 37, 38], there has been no comparison of this method to other methods using gene expression data.

We explored this question via comparison of the most widely employed single-gene, gene-set, and network-based methods, using gene expression microarray data from two different cancers: melanoma and ovarian.

However, while candidate prioritization methods using Gene ontology semantic similarity measures have generally been demonstrated to be effective, there are a number of drawbacks that this type of methodology suffers from that can detract from usability, accuracy and utility.

A second class of general methods use gene order conservation to disambiguate the orthology relationships for genes that do not have a clear 'best hit' in another genome, in terms of sequence similarity [ 51 55].

Quantitative PCR was carried out by Taqman assay method using gene specific primers and probes from the Universal Probe Library (UPL), Human (Roche) as the internal oligonucleotide, according to manufacturer's instructions.

Xu et al. (2007) proposed a method using gene profiles generated from PubMed abstracts for gene disambiguation.

As an example, the authors demonstrated the new method using gene expression data for a cell line treated and untreated with heat shock.

Gene expression of matrix metalloproteinase (MMP) 2, MMP3, MMP13 and aggrecan (ACAN) gene was normalized with GAPDH and data evaluation was relative employing the ΔΔCT method using gene expression of unstimulated monocultures as calibrator.