| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
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|
タイトル |
Data mining tools for the Saccharomyces cerevisiae morphological database |
|
言語 |
en |
| 作成者 |
Saito, Taro L.
Sese, Jun
Nakatani, Yoichiro
Sano, Fumi
Yukawa, Masashi
Ohya, Yoshikazu
Morishita, Shinichi
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| アクセス権 |
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|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
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|
権利情報 |
© The Author 2005. Published by Oxford University Press. All rights reserved. The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@oupjournals.org |
| 内容記述 |
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|
内容記述 |
For comprehensive understanding of precise morphological changes resulting from loss-of-function mutagenesis, a large collection of 1 899 247 cell images was assembled from 91 271 micrographs of 4782 budding yeast disruptants of non-lethal genes. All the cell images were processed computationally to measure ∼500 morphological parameters in individual mutants. We have recently made this morphological quantitative data available to the public through the Saccharomyces cerevisiae Morphological Database (SCMD). Inspecting the significance of morphological discrepancies between the wild type and the mutants is expected to provide clues to uncover genes that are relevant to the biological processes producing a particular morphology. To facilitate such intensive data mining, a suite of new software tools for visualizing parameter value distributions was developed to present mutants with significant changes in easily understandable forms. In addition, for a given group of mutants associated with a particular function, the system automatically identifies a combination of multiple morphological parameters that discriminates a mutant group from others significantly, thereby characterizing the function effectively. These data mining functions are available through the World Wide Web at http://scmd.gi.k.u-tokyo.ac.jp/. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Oxford University Press |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 関連情報 |
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|
識別子タイプ |
DOI |
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|
関連識別子 |
10.1093/nar/gki451 |
| 関連情報 |
|
|
|
識別子タイプ |
PMID |
|
|
関連識別子 |
15980577 |
| 関連情報 |
|
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|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1093/nar/gki451 |
| 収録物識別子 |
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|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1362-4962 |
| 開始ページ |
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|
開始ページ |
W753 |
| 書誌情報 |
Nucleic Acids Research
Nucleic Acids Research
巻 33,
号 suppl_2,
p. W753-W757,
発行日 2005-07-01
|
| 旧ID |
48780 |
NucleicAcidsRes_33_W753.pdf (1.5 MB)
