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Use of next generation sequencing technology provides general representation of almost all the transcripts (i.e., mRNAs) expressed in specific cells or organs at particular conditions and times.
The first step of the pipeline is the use of next generation sequencing technology to generate transcriptome sequences of sunflower.
The discovery of ethnic-specific genetic risk factors for Bangladeshis (and, more generally, other South Asians) should be facilitated by the use of next generation sequencing technologies.
Fixed broadband network deployments are moving inexorably to the use of Next Generation Access (NGA) technologies and architectures.
One option is the use of next generation sequencing (NGS) technologies to perform CNV analysis.
The use of next generation sequencing has expanded our view on whole mammalian methylome patterns.
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Furthermore, the use of next-generation sequencing to generate single nucleotide fitness landscapes will offer a resolution that was once only dreamed of (Wright 1932).
The use of next-generation sequencing has allowed us to improve our understanding of the biology and epidemiology of this more rapidly than by phenotypic or other genotyping methods.
The growing use of next-generation sequencing further enhanced the depth of the environmental sampling, amplifying this general trend of discovery of novel lineages.
The performance of these systems could greatly improve with the use of next-generation fluids (nanofluids) that are still being tested.
The use of next-generation sequencing for plant virus detection is rapidly expanding, necessitating the development of bioinformatic pipelines to support analysis of these large datasets.
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