Yamanaka Itaru, Kiyosawa Hidenori, Kondo Shinji, Saito Tetsuya, Carninci Piero, Shinagawa Akira, Aizawa Katsunori, Fukuda Shiro, Hara Ayako, Itoh Masayoshi, Kawai Jun, Shibata Kazuhiro, Arakawa Takahiro, Ishii Yoshiyuki, Hayashizaki Yoshihide
Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama City, Kanagawa 230-0045, Japan.
J Struct Funct Genomics. 2002;2(1):23-8. doi: 10.1023/a:1013203019444.
Finding genes by the positional candidate approach requires abundant cDNAs mapped to chromosomes. To provide such important information, we computationally mapped 19032 of our mouse cDNAs to mouse chromosomes by using data from public databases. We used 2 approaches. In the first, we integrated the mapping data of cDNAs on the human genome, known gene-related data, and comparative mapping data. From this, we calculated map positions on the mouse chromosomes. For this first approach, we developed a simple and powerful criterion to choose the correct map position from candidate positions in sequence homology searches. In the second approach, we related cDNAs to expressed sequence tags (EST) previously mapped in radiation hybrid experiments. We discuss improving the mapping by combining the 2 methods.
通过定位候选方法寻找基因需要大量定位到染色体上的cDNA。为了提供此类重要信息,我们利用公共数据库的数据,通过计算将我们的19032个小鼠cDNA定位到小鼠染色体上。我们使用了两种方法。第一种方法是,我们整合了cDNA在人类基因组上的定位数据、已知的基因相关数据以及比较定位数据。据此,我们计算出小鼠染色体上的图谱位置。对于第一种方法,我们开发了一个简单而强大的标准,以便在序列同源性搜索的候选位置中选择正确的图谱位置。第二种方法是,我们将cDNA与先前在辐射杂交实验中定位的表达序列标签(EST)相关联。我们讨论了通过结合这两种方法来改进定位。