We generated a survey assessing issues related to SGBV in collaboration with local NGO staff and nurses.
There are three major objectives for the present study: (1) to characterize the transcriptome of jute and generate a broad survey of genes associated with vegetative growth and development; (2) to develop a large-scale data set of SNPs from transcriptomic sequences; (3) to identify the expression profiles of bast-related genes involved in cellulose biosynthesis.
Non-normalized cDNA collections from different types of tissues were used to generate a broad survey of genes associated with ramie vegetative growth and development.
Non-normalized cDNA collections from different types of roots were used to generate a broad survey of genes associated with tuberous root formation and development.
In order to characterize the transcriptome of ramie and generate a broad survey of genes associated with ramie vegetative growth and development, total RNA was extracted from several vegetative tissues including leaf, root, stem bast, stem xylem and stem shoot at vegetative stages.
Gene expression profiling using high density oligonucleotide arrays is a powerful method to generate an unbiased survey of a cell's transcriptional landscape.
A next generation sequencing platform (Ion Torrent PGM™) was used to generate a partial genome survey sequence (GSS) dataset to develop microsatellite markers from R. kanagurta genomic DNA.
We used a multistage, facility-based approach to generate a national probability survey sample of providers.
In order to have the population generate a standard prioritization, a survey was developed that included the three ideas with the highest score from each nominal group (NG) meeting.
In this study, we characterized the transcriptome of an elite jute variety at the vegetable growth stage and discovered 48,914 unigenes, which generates a broad survey of genes associated with vegetative growth and development.
