Article
Optimizing an ion semiconductor sequencing data analysis method to identify somatic mutations in the genomes of cancer cells in clinical tissue samples.
Biomedical research (Tokyo, Japan) - 1 Jan 2016
Nagashima Takeshi, Shimoda Yuji, Tanabe Tomoe, Naruoka Akane, Saito Junko, Serizawa Masakuni, Ohshima Keiichi, Urakami Kenichi, Ohnami Sumiko, Ohnami Shumpei, Mochizuki Tohru, Kusuhara Masatoshi, Yamaguchi Ken
Abstract excerpt
Identification of causal genomic alterations is an indispensable step in the implementation of personalized cancer medicine. Analytical methods play a central role in identifying such changes because of the vast amount of data produced by next generation sequencer. Most analytical techniques are designed for the Illumina platform and are therefore suboptimal for analyzing datasets generated by whole exome...
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