Lee Kye Hwa, Lim Jae Hyeun, Kim Ju Han
Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine, Seoul 110-799, Korea.
Genomics Inform. 2013 Mar;11(1):38-45. doi: 10.5808/GI.2013.11.1.38. Epub 2013 Mar 31.
In cancer genome studies, the annotation of newly detected oncogene/tumor suppressor gene candidates is a challenging process. We propose using concept lattice analysis for the annotation and interpretation of genes having candidate somatic mutations in whole-exome sequencing in acute myeloid leukemia (AML). We selected 45 highly mutated genes with whole-exome sequencing in 10 normal matched samples of the AML-M2 subtype. To evaluate these genes, we performed concept lattice analysis and annotated these genes with existing knowledge databases.
在癌症基因组研究中,对新检测到的癌基因/肿瘤抑制基因候选物进行注释是一个具有挑战性的过程。我们建议使用概念格分析对急性髓系白血病(AML)全外显子测序中具有候选体细胞突变的基因进行注释和解释。我们在AML-M2亚型的10个正常匹配样本中通过全外显子测序选择了45个高度突变的基因。为了评估这些基因,我们进行了概念格分析并用现有的知识数据库对这些基因进行注释。