For aquaculture species, transcriptome analysis of pooled RNA samples from multiple individuals using Illumina sequencing technology is both technically efficient and cost-effective for generating expressed sequences.
We have demonstrated that transcriptome analysis of pooled RNA samples from multiple individuals using Illumina sequencing technology is both technically efficient and cost-effective for generating expressed sequences.
Without a litchi reference genome, de novo transcriptome assembly using Illumina short RNA-Seq reads is the most cost effective approach for generating a large collection of ESTs suitable for subsequent transcriptome analysis.
In this study, we demonstrate the utility of the SISPA method and its use as a rapid and cost effective method for generating full genome coverage of a wide range of viral types from several sources.
The development of next generation sequencing technology has revolutionized biology and in particular, transcriptome sequencing provides a cost effective strategy for generating sequence and expression information from the gene space of non-model organisms or from species with large complex genomes [ 26, 27].
We propose a novel, accurate, and cost-effective method for generating phase-defined complete sequencing of HLA genes by using indexed multiplex next generation sequencing.
Hence, T cells with both a less differentiated phenotype and potent tumor killing ability can be generated by RNA electroporation, and this T cell manufacturing procedure can be further optimized by simply co-delivering other splices of RNA, thus providing a simple and cost-effective method for generating high-quality T cells for adoptive immunotherapy.
Ribosomal-depleted RNA provides a more cost-effective method for generating complete transcriptome coverage.
We therefore demonstrate that GBS is a cost-effective method for generating genome-wide SNP data suitable for genetic mapping in a highly diverse and heterozygous agricultural species.
With this in mind, a cost-effective approach for generating CER data would be to leverage available clinical trial data at the individual patient level.
Mavromatis et al. compared draft versions of genomes to their finished version and concluded that Illumina-based sequencing was a cost-effective approach for generating draft microbial genomes without a significant loss of information (Mavromatis et al. 2012).
