Sentence examples for approaches for transcript from inspiring English sources

Similar approaches for transcript profiling studies of skeletal muscle tissue have been used previously [ 8, 11].

Our single-cell quantification results were validated with the fluorescence in situ hybridization studies and quantitative PCR, showing better specificity and selectivity over current single-molecule approaches for transcript detection.

No descriptions of the informatics approaches for transcript profiling are presented in the Methods section and only literature references to the original data sets are listed in the figure legends.

In parallel to the automated approach for transcript assembly, we manually defined a set of E. huxleyi genes.

In practice, we suggest DNA microarrays as the preferred approach for transcript profiling of a large number of samples.

Since the absence of Xrn1 leads to the accumulation of decapped RNAs (Hsu and Stevens, 1993), we could not use the TSS sequencing methodology applied for the other mutants and we thus used, for this particular experiment, a classical RNA sequencing approach for transcript quantification (see 'Materials and methods').

Beside the classical approaches for profiling transcripts like Northern blots, reverse-transcriptase (q PCR, RACE (rapid amplification of cDNA ends), and microarrays, the recent development of RNAseq has revolutionized transcriptomics.

A recent approach for comparative transcript profiling was described by O'Connor and colleagues based on C. dubliniensis-specific microarrays [ 37].

In this study, we have presented the successful use of TransCount as a high throughput alternative approach for absolute transcript concentration per gene queried on the array.

Probabilistic latent variable models, in particular mixture models (Jiang and Wong, 2009; Glaus et al., 2012; Katz et al., 2010; Li and Dewey, 2011; Li et al., 2010; Nariai et al., 2013; Trapnell et al., 2013; Turro et al., 2011) provide a popular and effective approach for inferring transcript expression levels from RNA-seq data.

However, both the high proportion of heritable transcripts in this selected set (90%) and their high estimated heritabilities demonstrate the utility of this approach for identifying transcripts whose variation has a strong genetic component.