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[Gemonics for Precision Oncology]
2014³â 10¿ù 17ÀÏ »ï¼º¼¿ïº´¿ø Genome Institute¿¡¼ "Gemonics for Precision Oncology" ½ÉÆ÷Áö¾öÀÌ ¿·È½À´Ï´Ù.
Åë°èÇÐÀÚ Peter ParkÀº ¾Æ·¡¿Í °°ÀÌ ¸»ÇÏ°í ÀÖ¾ú½À´Ï´Ù.
The three Vs - volume, velocity, and variety - of "big data" are having a transformative effect in many areas of science and medicine. Assays based on high-throughput DNA sequencing have a potential to positively impact clinical oncology by enabling individualized, genotype-based treatments, but interpretation of data from such assays remains a bottleneck.
Elaine Mardis´Â ¿©·¯ Á¾¾ç°ú ÀüÀÌÀÇ À¯ÀüÁ¤º¸°¡ ´Ù¸£´Ù´Â °ÍÀ» °Á¶ÇÏ¸é¼ individualized treatmentÀÇ °¡´É¼ºÀ» ¾ð±ÞÇÏ¿´½À´Ï´Ù.
Samsung Genome InstituteÀÇ ¹Ú¿õ¾ç ±³¼ö´ÔÀº ÀÓ»ó Àû¿ë °¡´É¼º¿¡ Áß½ÉÀ» µÐ »ï¼º¼¿ïº´¿ø Genome ¿¬±¸¼ÒÀÇ flatformÀ» ¼³¸íÇϼ̽À´Ï´Ù.
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