2006年5月
Automated classification of alternative splicing and transcriptional initiation and construction of visual database of classified patterns
BIOINFORMATICS
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- 巻
- 22
- 号
- 10
- 開始ページ
- 1211
- 終了ページ
- 1216
- 記述言語
- 英語
- 掲載種別
- DOI
- 10.1093/bioinformatics/btl067
- 出版者・発行元
- OXFORD UNIV PRESS
Motivation: Large-scale detection and classification of alternative splicing and transcriptional initiation (ASTI) is the first step towards detailed studies of the functional implication and mechanisms of these phenomena.
Results: We have developed an algorithm that classifies all observed units of ASTI into an extendable set of distinct types (e.g. cassette type) by converting a collection of alignments between a genomic DNA sequence and cDNA sequences into binary description. This description system can uniquely and compactly encode not only typical patterns but also any rare patterns that are usually collectively assigned to 'others.' More than 150 distinct ASTI types were found when this system was applied to genome-wide detection of ASTI units in human and five other eukaryotes.
Results: We have developed an algorithm that classifies all observed units of ASTI into an extendable set of distinct types (e.g. cassette type) by converting a collection of alignments between a genomic DNA sequence and cDNA sequences into binary description. This description system can uniquely and compactly encode not only typical patterns but also any rare patterns that are usually collectively assigned to 'others.' More than 150 distinct ASTI types were found when this system was applied to genome-wide detection of ASTI units in human and five other eukaryotes.
- リンク情報
- ID情報
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- DOI : 10.1093/bioinformatics/btl067
- ISSN : 1367-4803
- Web of Science ID : WOS:000237319300010