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Gene microarray technology allows massively parallel analysis of most genes expressed in a tissue, and therefore is an important new research tool that potentially can provide the investigative power needed to address the complexity of brain aging/neurodegenerative processes.
Planar arrays (e.g. DNA microarrays), for example, exploit spatial encoding of probes to carry out massively parallel analysis [1].
Nowadays, the development of massively parallel analysis methods including high-throughput sequencing (HTS) and tilling arrays allows for detecting such transcripts at the genome-wide level [22], [29], [30].
In this report, we demonstrate the utility of genome mapping, an approach based on massively parallel analysis of extremely long single DNA molecules fluorescently labeled at specific sequence motifs in nanochannel arrays in genome-wide identification of structural variation at 5-kb resolution without sequencing.
In summary, the results of this work show that Hadoop, despite its limitations, enables highly scalable massively parallel analysis of DNA sequence data and can be justified from an economic e-infrastructure perspective for the data sizes that are common today.
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We sequenced SSU rRNA genes using tag-encoded massively parallel pyrosequencing analysis [ 59- 61].
Massively parallel sequencing analysis showed that DUSP-9 is downregulated in ccRCC [ 9].
We then performed high-throughput massively parallel sequencing analysis on each collection of amplified targets.
Moreover, the use of MIDs allowed massively parallel sequence analysis of multiple samples to be performed.
Herein, using chromatin immunoprecipitation experiments followed by massively parallel sequencing analysis (ChIP-seq) we find that in PC3 prostate cancer cells ALKBH3 binding is enriched at transcription associated genomic loci, where ssDNA is accessible.
A new forensic 140-SNP genotyping system from Qiagen, designed for massively parallel sequencing (MPS) analysis, was evaluated using the Ion PGM™ MPS system.
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