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タイトル: jPOSTrepo: an international standard data repository for proteomes
著者: Okuda, Shujiro
Watanabe, Yu
Moriya, Yuki
Kawano, Shin
Yamamoto, Tadashi
Matsumoto, Masaki
Takami, Tomoyo
Kobayashi, Daiki
Araki, Norie
Yoshizawa, Akiyasu C.
Tabata, Tsuyoshi
Sugiyama, Naoyuki  KAKEN_id  orcid https://orcid.org/0000-0001-7633-8495 (unconfirmed)
Goto, Susumu
Ishihama, Yasushi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7714-203X (unconfirmed)
著者名の別形: 吉沢, 明康
田畑, 剛
杉山, 直幸
五斗, 進
石濱, 泰
キーワード: asia
proteome
proteomics
spatial release from masking
datasets
発行日: 4-Jan-2017
出版者: Oxford University Press (OUP)
誌名: Nucleic acids research
巻: 45
号: D1
開始ページ: D1107
終了ページ: D1111
抄録: Major advancements have recently been made in mass spectrometry-based proteomics, yielding an increasing number of datasets from various proteomics projects worldwide. In order to facilitate the sharing and reuse of promising datasets, it is important to construct appropriate, high-quality public data repositories. jPOSTrepo (https://repository.jpostdb.org/) has successfully implemented several unique features, including high-speed file uploading, flexible file management and easy-to-use interfaces. This repository has been launched as a public repository containing various proteomic datasets and is available for researchers worldwide. In addition, our repository has joined the ProteomeXchange consortium, which includes the most popular public repositories such as PRIDE in Europe for MS/MS datasets and PASSEL for SRM datasets in the USA. Later MassIVE was introduced in the USA and accepted into the ProteomeXchange, as was our repository in July 2016, providing important datasets from Asia/Oceania. Accordingly, this repository thus contributes to a global alliance to share and store all datasets from a wide variety of proteomics experiments. Thus, the repository is expected to become a major repository, particularly for data collected in the Asia/Oceania region.
著作権等: © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
URI: http://hdl.handle.net/2433/227553
DOI(出版社版): 10.1093/nar/gkw1080
PubMed ID: 27899654
出現コレクション:学術雑誌掲載論文等

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