首页> 外国专利> METHODS OF PARALLEL GENE CLONING AND ANALYSIS

METHODS OF PARALLEL GENE CLONING AND ANALYSIS

机译:平行基因克隆和分析方法

摘要

This invention provides the systematic and oriented codon-based high-throughput methods for the identification of both known and unknown sequences. The identification are focused on the sequences of ORF of the gene and the corresponding transcriptional and translational products (RNA and peptide sequences) such as 5′-end from the start codon, 3′-end from the stop codon and two consecutive codon sequence which is recognized by a restriction enzyme between 5'-end and 3′-end of a sequence. The present invention provides the relevant genetic algorithms for the sequence identification and library construction, such as 61.sup.(n-1) / 20.sup.(n-1), 61.sup.n / 20.sup.n, 61.sup.(n-2) / 20.sup.(n-2). It also provides the genetic algorithms of 64.sup.(n-1) and 64.sup.n to define 5'-UTR, 3'-UTR in order to deduce oligonucleotide sequences which span start codon and stop codon respectively. The present invention classified oligonucleotides in accordance with the G+C content to provide uniformed hybridization conditions. Applications include PCR, cloning, dot-blot hybridization, library construction, sequence determination, signature sequence and signature signal identification, ELISA, DNA and protein microarrays.
机译:本发明提供了系统的和定向的基于密码子的高通量方法,用于鉴定已知和未知序列。鉴定的重点是基因的ORF序列以及相应的转录和翻译产物(RNA和肽序列),例如起始密码子的5'末端,终止密码子的3'末端以及两个连续的密码子序列被序列的5'-端和3'-端之间的限制性酶识别。本发明提供了用于序列识别和文库构建的相关遗传算法,例如61.(n-1)/ 20。(n-1),61.n / 20.n, 61个(n-2)/ 20个(n-2)。它还提供了64.n(n-1)和64.n的遗传算法来定义5'-UTR,3'-UTR,以推导分别跨越起始密码子和终止密码子的寡核苷酸序列。本发明根据G + C含量对寡核苷酸进行分类以提供均匀的杂交条件。应用包括PCR,克隆,斑点杂交,文库构建,序列确定,签名序列和签名信号识别,ELISA,DNA和蛋白质微阵列。

著录项

  • 公开/公告号AU2002350332A1

    专利类型

  • 公开/公告日2003-06-30

    原文格式PDF

  • 申请/专利权人 CHEN TAO;LI JINGHAN;

    申请/专利号AU20020350332

  • 发明设计人 TAO CHEN;JINGHAN LI;TE-MING CHEN;

    申请日2002-12-17

  • 分类号C12N15/11;C07H21/04;C12P19/34;C12P21/02;C12Q1/68;G01N33/53;

  • 国家 AU

  • 入库时间 2022-08-21 23:57:31

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号