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http://dx.doi.org/10.5808/GI.2013.11.1.38

Annotation of Genes Having Candidate Somatic Mutations in Acute Myeloid Leukemia with Whole-Exome Sequencing Using Concept Lattice Analysis  

Lee, Kye Hwa (Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine)
Lim, Jae Hyeun (Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine)
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)
Publication Information
Genomics & Informatics / v.11, no.1, 2013 , pp. 38-45 More about this Journal
Abstract
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.
Keywords
acute myeloid leukemia; biolattice; concept lattice analysis; DNA mutational analysis; DNA sequence analysis; oncogenes;
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