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人胎儿脑的一个cDNA编码序列及其蛋白质预测 被引量:1
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作者 杨岐生 李奕 +1 位作者 林卿 谢毅 《中国生物化学与分子生物学报》 CAS CSCD 2000年第5期586-590,共5页
用 m RNA差异显示 PCR技术 ,从人 1 8周、2 2周胎儿脑和肝肾组织的 m RNA逆转录产物得到一些特异性显示的片段 .其中一个随机片段 GC1 0 2作为探针 ,从本实验室构建的 1 8周胎儿脑c DNA基因文库进行杂交筛选 ,得到一个阳性克隆λ gt1 0 ... 用 m RNA差异显示 PCR技术 ,从人 1 8周、2 2周胎儿脑和肝肾组织的 m RNA逆转录产物得到一些特异性显示的片段 .其中一个随机片段 GC1 0 2作为探针 ,从本实验室构建的 1 8周胎儿脑c DNA基因文库进行杂交筛选 ,得到一个阳性克隆λ gt1 0 /GC1 0 2 .该克隆内插入的 c DNA片段长2 .9kb,经过 DNA测序 ,显示具有一个开放阅读框架 ,编码 1 37个氨基酸的肽链 .用蛋白质结构的建模软件预测了该肽链的立体结构初步模型 . 展开更多
关键词 dna编码序列 PCR dna测序 蛋白质 立体结构
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Which Are More Random:Coding or Noncoding DNA Sequences?
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作者 WUFang ZHENGWei-Mou 《Communications in Theoretical Physics》 SCIE CAS CSCD 2002年第5期637-640,共4页
Evidence seems to show that coding DNA is more random than noncoding DNA, but other conflictingevidence also exists. Based on the third-base degeneracy of codons, we regard the third position of codons as a 'noisy... Evidence seems to show that coding DNA is more random than noncoding DNA, but other conflictingevidence also exists. Based on the third-base degeneracy of codons, we regard the third position of codons as a 'noisy'position. By deleting one fixed position of non-overlapping triplets in a given sequence, three masked sequences may bededuced from the sequence. We have investigated the block-to-site mutual information functions of coding and noncodingsequences in yeast without and with the masking. Characteristics that distinguish coding from noncoding DNA havebeen found. It is observed that the strong correlations in the coding regions may be blocked by the third base of codons,and the proper masking can extract the correlations. Distribution of dimeric tandem repeats of unmasked sequences isalso compared with that of masked sequences. 展开更多
关键词 dna sequences CORRELATION
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Auto-selection order of Markov chain for background sequences with chi-square test
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作者 谢雪英 孙啸 陆祖宏 《Journal of Southeast University(English Edition)》 EI CAS 2003年第4期311-316,共6页
Modeling non coding background sequences appropriately is important for the detection of regulatory elements from DNA sequences. Based on the chi square statistic test, some explanations about why to choose higher ... Modeling non coding background sequences appropriately is important for the detection of regulatory elements from DNA sequences. Based on the chi square statistic test, some explanations about why to choose higher order Markov chain model and how to automatically select the proper order are given in this paper. The chi square test is first run on synthetic data sets to show that it can efficiently find the proper order of Markov chain. Using chi square test, distinct higher order context dependences inherent in ten sets of sequences of yeast S.cerevisiae from other literature have been found. So the Markov chain with higher order would be more suitable for modeling the non coding background sequences than an independent model. 展开更多
关键词 non coding sequences regulatory elements chi square test Markov chain
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