Analysis of Mutation-promoting Mechanism Based on Big Data - Sun, Jianhong
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To test and further explore the factors of mutation-promoting, a large number of experimental DNA samples from five populations (Africa, America, Europe, East Asia and South Asia) were subjected to statistical analysis in this book. The mainly research works are as follows:a. Explore the changing trend of GC content of the human genome under the influence of mutations.b. Assess whether the high mutation rate of C->T (C mutation is T, the same below) caused by CpG methylation will cause the CpG in the genome to be depleted.c. Explore the influence of context sequence on relative mutation…mehr

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Produktbeschreibung
To test and further explore the factors of mutation-promoting, a large number of experimental DNA samples from five populations (Africa, America, Europe, East Asia and South Asia) were subjected to statistical analysis in this book. The mainly research works are as follows:a. Explore the changing trend of GC content of the human genome under the influence of mutations.b. Assess whether the high mutation rate of C->T (C mutation is T, the same below) caused by CpG methylation will cause the CpG in the genome to be depleted.c. Explore the influence of context sequence on relative mutation rate.d. Verify the "Indels (insertion/deletion) mutagenesis hypothesis".
Autorenporträt
Jian-Hong Sun se licenció en Informática por la Universidad de la Asunción (Tailandia) en 2009. Actualmente es profesor asociado en la Facultad de Ingeniería de la Universidad de Honghe (China). Sus intereses de investigación actuales incluyen la bioinformática, la minería de datos y el análisis de macrodatos.