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출처: 이북나라 전자책 『B.Bioinformatics and systems biology』 1쪽 · 2쪽 · 3쪽 · 4쪽 · 5쪽 · 6쪽. 원문에 없는 주제·저자·발행일은 넣지 않았습니다.

B.Bioinformatics and systems biology

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Integrating binding and expression data to predict transcription factors com- bined function Mahmoud Ahmed and Deok Ryong Kim Department of Biochemistry and Convergence Medical Sciences and Institute of Health Sciences, Gyeongsang National University School of Medicine, Jinju, Korea Summary Table 1: Functions of the target R package. Background Transcription factor binding to the regulatory region of a gene induces or represses its gene expression. Function Description Input Output Transcription factors share their binding sites with other factors, co-factors and/or DNA-binding proteins.

출처: 이 전자책 1쪽

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[B. Bioinformatics and systems biology-2] Integrating binding and expression data to predict transcription factors combined function Mahmoud Ahmed1, Deok Ryong Kim1 1Convergence Medical Science, Gyeongsang National University, Jinju 52727, Korea Transcription factor binding on the regulatory region of a gene induces or represses its expression. Transcription factors share their binding sites with other factors, co-factors and/or DNA-binding proteins. These proteins form complexes which bind to the DNA as one-units.

출처: 이 전자책 2쪽

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A Study on the Improvement of the Cryptographic Alogrithm for Identifying Genetic relatives Gi Ju Lee , Minhyeok Jeong , Jong Wha J. Joo 1 * 1 Department of Computer Science and Engineering, Dongguk University-Seoul, 04620 Seoul, Republic of Korea ABSTRACT With the advent of high-throughput technology, genetic information is often compared to reveal individual relationships. Individual genetic information is one of the most important personal information, and efforts are being made to compare individual genetic information without compromising privacy.

출처: 이 전자책 3쪽

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[B. Bioinformatics and systems biology-4] A Study on the Improvement of the Cryptographic Algorithm for Identifying Genetic relatives Minhyeok Jeong1, Gi Ju Lee1, Jong Wha Joanne Joo1 1Computer Science and Engineering, Dongguk University, Seoul 04620, Republic of Korea The development of high-throughput genomic technology has affected many areas of genetic research. While many applications of these technologies have focused on the discovery of disease-related genes in the population sample, applying genetic technology to an individual's genome or individual genomics has recently gained much…

출처: 이 전자책 4쪽

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A bioinformatic approach to the identification of genetic markers for idiopathic pulmonary fibrosis (IPF) Sungmin Park , Seungmin Song , Junghyun Jung , Jong Wha J. Joo 1* 1 Department of Computer Science and Engineering, Dongguk University-Seoul, 04620 Seoul, South Korea 2 Department of Life Science, Dongguk University-Seoul, 04620 Seoul, South Korea Abstract Idiopathic pulmonary fibrosis is one of the chronic and fatal interstitial lung diseases. IPF generally shows poor prognosis, and their exact pathogenesis and casualties are not clearly revealed yet.

출처: 이 전자책 5쪽

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[B. Bioinformatics and systems biology-5] A bioinformatic approach to the identification of genetic markers of Idiopathic pulmonary fibrosis (IPF) Sungmin Park1, Seungmin Song1, Junghyun Jung2, Jong Wha Joanne Joo1 ̇* 1Computer Science and Engineering, Dongguk University, Seoul 04620, Republic of Korea, 2Life Science, Dongguk University, Seoul 04620, Republic of Korea Idiopathic pulmonary fibrosis (IPF) is one of the chronic and fatal interstitial lung diseases.

출처: 이 전자책 6쪽