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Computational and experimental analysis identifies many novel human genes.
https://repo.qst.go.jp/records/43893
https://repo.qst.go.jp/records/438934ad30d32-d453-4b62-88bf-a03feebd92e7
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2005-12-16 | |||||
| タイトル | ||||||
| タイトル | Computational and experimental analysis identifies many novel human genes. | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Miyajima, Nobuyuki
× Miyajima, Nobuyuki× B., Burge Christopher× Saito, Toshiyuki× 齋藤 俊行 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Because of advances in automation, human genomic sequences are being deposited in public databases at a dramatic rate. However, the process of detecting genes in these sequences is still something of an art. Here we describe the implementation and testing of a relatively straightforward computational approach, the Virtual Transcribed Sequence project, which analyzes their gene content using the gene prediction program GENSCAN (GENSCAN 1.0 1,2) in combination with similarity-based methods. This approach identifies many novel human genes not found even in EST databases. Copyright 2000 Academic Press. | |||||
| 書誌情報 |
Biochemical and Biophysical Research Communications 巻 272, p. 801-807, 発行日 2000-06 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0006-291X | |||||