Sentence examples for In-depth transcript from inspiring English sources

The recent advent of RNA-Seq, a next generation sequencing technology, provides an opportunity to expand the identification of Stevia genes through in-depth transcript profiling.

The recent advent of RNA sequencing technology (RNA-Seq) provides an opportunity to conduct in-depth transcript profiling for heterosis studies.

Using an in-depth transcript annotation, we categorized genes as being either impervious or susceptible to alternative splicing cross-platform differences.

The recent advent of RNA-Seq, a massively parallel sequencing method for transcriptome analysis, provides an opportunity to expand the identification of alfalfa genes and polymorphisms, and conduct in-depth transcript profiling.

Based on these limitations, we deep-sequenced cDNA libraries of soybean cultivar Williams 82 inoculated with P. pachyrhizi along a time-course of infection using the Illumina platform to generate a more in-depth transcript abundance profile of the genes expressed by soybean and P. pachyrhizi simultaneously.

Once all the in-depth interview transcripts were uploaded into the computer, inductive analysis was performed allowing for patterns, themes and categories to emerge out of the data (Patton 1990).

TS assisted in the qualitative analysis of the in-depth interview transcripts.

Focus group and in-depth interview transcripts were manually coded, and crosschecked within the research team.

Data collected in the cognitive mapping research include participant and researcher produced sketch maps, ethnographic field-notes, in-depth interview transcripts, notes from participant observation and photographs.

Focus group discussion and in-depth interview transcripts were coded to identify common themes related to recognition, classification and naming of malaria illness, care seeking behaviour and traditional treatment practices for severe malaria.

The multi-faceted nature of RNA-Seq has enabled in-depth analysis of transcript abundance [1], [2], [3], alternative splicing [4], [5], [6], [7], novel transcript detection [8], biomarker discovery [9], [10], [11], pathogen detection and characterization [12], [13], [14], and gene fusion discovery [15], [16], [17].