Sentence examples for methods for transcript from inspiring English sources

Finally, pilot-scale projects were incorporated to generate preliminary data for several additional applications, including a comparison of methods for transcript profiling and analysis, examination of antisense and intron transcription, chromatin immunoprecipitation studies, expression of selected host genes, and polymorphism detection in highly variable genes.

In addition, various methods for transcript profiling have been used to analyze cellular pathways and processes after targeted perturbations of cell physiology.

An assessment of SGS methods for transcript reconstruction found that expression level estimates varied widely across methods, even when based on similar transcript models [53].

We have presented methods for transcript expression level analysis and DE analysis that aim to model the uncertainty present in RNA-seq datasets.

Overall, the SHaSM approach offers significant accuracy and specificity compared to the conventional diffraction-limited detection methods for transcript quantification in single cells, especially for cells with highly expressed mRNA transcripts.

The use of high-throughput sequencing-by-synthesis methods for transcript profiling allows the specific and sensitive detection of many of a cell's transcripts, and also allows the discovery of high quality base discrepancies, and alternative splice variants.

The high sensitivity of the SAGE method for transcript detection becomes valuable for the isolation of low-abundance transcripts.

We adopted this method for transcript quantification by RPKM [ 16] and calculated the RPKM of each gene (Additional file 2: Table S2).

Hybridization-based microarray technologies have been the dominating method for transcript profiling and are characterized by their ability to globally profile gene expression in large numbers of tissue samples.

Taken together, the results demonstrated the applicability of our empirical method for transcript border analysis on directional RNA-seq data of various bacterial species, from different sequencing platforms, and with more or few replicates.

Currently, there are two main methods applied for transcript border analysis from bacterial RNA-seq data - manual annotation and distribution model based methods [ 7, 14].