ERRATUM: Acknowledgments Correction. Bioinformatics Interpretation of Exome Sequencing: Blood Cancer

ERRATUM: Acknowledgments Correction. Bioinformatics Interpretation of Exome Sequencing: Blood Cancer

Bioinformatics Interpretation of Exome Sequencing: Blood Cancer

We had analyzed 10 exome sequencing data and single nucleotide polymorphism chips for blood cancer provided by the PGM21 (The National Project for Personalized Genomic Medicine) Award program. We had removed sample G06 because the pair is not correct and G10 because of possible contamination. In-house software somatic copy-number and heterozygosity alteration estimation (SCHALE) was used to det...

Erratum: Acknowledgments correction

The funding acknowledgment in this article was omitted as published. Additional acknowledgment is as follows: This work was supported by Research Settlement Fund for the new faculty of Seoul National University. The authors apologize for any inconvenience this mistake may have caused. Radiat Oncol J 2012;30(2):96 http://dx.doi.org/10.3857/roj.2012.30.2.96 pISSN 2234-1900 · eISSN 2234-3156 Lette...

Erratum: ACKNOWLEDGMENTS

[This corrects the article on p. 504 in vol. 35, PMID: 22111042.].

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

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 sa...