A computer-based method of selecting clones for a full-length cDNA project: Simultaneous collection of negligibly redundant and variant cDNAs

Naoki Osato, Masayoshi Itoh, Hideaki Konno, Shinji Kondo, Kazuhiro Shibata, Piero Carninci, Toshiyuki Shiraki, Akira Shinagawa, Takahiro Arakawa, Shoshi Kikuchi, Kouji Sato, Jun Kawai*, Yoshihide Hayashizaki

*この研究の対応する著者

研究成果: Article査読

24 被引用数 (Scopus)

抄録

We describe a computer-based method that selects representative clones for full-length sequencing in a full-length cDNA project. Our method classifies end sequences using two kinds of criteria, grouping, and clustering. Grouping places together variant cDNAs, family genes, and cDNAs with sequencing errors. Clustering separates those cDNA clones into distinct clusters. The full-length sequences of the clones selected by grouping are determined preferentially, and then the sequences selected by clustering are determined. Grouping reduced the number of rice cDNA clones for full-length sequencing to 21% and mouse cDNA clones to 25%. Rice full-length sequences selected by grouping showed a 1.07-fold redundancy. Mouse full-length sequences showed a 1.04-fold redundancy, which can be reduced by ∼30% from the selection using our previous method. To estimate the coverage of unique genes, we used FANTOM (Functional Annotation of RIKEN Mouse cDNA Clones) clusters (the RIKEN Genome Exploration Research Group 2001). Grouping covered almost all unique genes (93% of FANTOM clusters), and clustering covered all genes. Therefore, our method is useful for the selection of appropriate representative clones for full-length sequencing, thereby greatly reducing the cost, labor, and time necessary for this process.

本文言語English
ページ(範囲)1127-1134
ページ数8
ジャーナルGenome Research
12
7
DOI
出版ステータスPublished - 2002
外部発表はい

ASJC Scopus subject areas

  • 遺伝学
  • 遺伝学(臨床)

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