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Summary: The amount of gene and genome data obtained by next-generation sequencing technologies generates a need for comparative visualization tools.
Investing in new technologies generates greater excitement and brings the sport closer to its supporters.
Metabolomics research, like other disciplines utilizing high-throughput technologies, generates a large amount of data for every sample.
The use of gamma irradiation technologies generates a number of complex scientific and technical problems; for example, the target is manually loaded onto turntables and is rotated during the entire irradiation process and the MCNPX three-dimensional geometry simulation is kept static.
The combination of both technologies generates data-sets, which can be regarded as a metabolomic fingerprint characterizing metabolic shifts as a consequence of plant responses to altered environmental conditions.
Neither of these two technologies generates sequences as do other NGS platforms such as 454 GS-FLX system, Illumina, and Sequencing by Oligonucleotide Ligation and Detection (SOLiDTM) [39], [40].
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With next-generation sequencing technologies generating longer reads with higher sequencing depth and quality, the sensitivity and specificity of our pipeline will continue to be improved.
Next-generation sequencing technologies generate a significant number of short reads that are utilized to address a variety of biological questions.
The amplicons are sequenced using next-generation sequencing technologies, generating millions of short reads (ranging usually from ∼20 bp to a few hundreds of bp).
Next-generation sequencing technologies generate large numbers of reads with high sampling rates of cDNA libraries, providing a deeper and more complete view of transcriptomes [ 8].
Next generation sequencing technologies generate huge amount of data in a single experimental run and provide a revolutionary tool for various genomics studies [ 1].
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