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第三届DBCLS生物黑客松:利用语义网技术改善生命科学数据整合

The 3rd DBCLS BioHackathon: improving life science data integration with Semantic Web technologies.

作者信息

Katayama Toshiaki, Wilkinson Mark D, Micklem Gos, Kawashima Shuichi, Yamaguchi Atsuko, Nakao Mitsuteru, Yamamoto Yasunori, Okamoto Shinobu, Oouchida Kenta, Chun Hong-Woo, Aerts Jan, Afzal Hammad, Antezana Erick, Arakawa Kazuharu, Aranda Bruno, Belleau Francois, Bolleman Jerven, Bonnal Raoul Jp, Chapman Brad, Cock Peter Ja, Eriksson Tore, Gordon Paul Mk, Goto Naohisa, Hayashi Kazuhiro, Horn Heiko, Ishiwata Ryosuke, Kaminuma Eli, Kasprzyk Arek, Kawaji Hideya, Kido Nobuhiro, Kim Young Joo, Kinjo Akira R, Konishi Fumikazu, Kwon Kyung-Hoon, Labarga Alberto, Lamprecht Anna-Lena, Lin Yu, Lindenbaum Pierre, McCarthy Luke, Morita Hideyuki, Murakami Katsuhiko, Nagao Koji, Nishida Kozo, Nishimura Kunihiro, Nishizawa Tatsuya, Ogishima Soichi, Ono Keiichiro, Oshita Kazuki, Park Keun-Joon, Prins Pjotr, Saito Taro L, Samwald Matthias, Satagopam Venkata P, Shigemoto Yasumasa, Smith Richard, Splendiani Andrea, Sugawara Hideaki, Taylor James, Vos Rutger A, Withers David, Yamasaki Chisato, Zmasek Christian M, Kawamoto Shoko, Okubo Kosaku, Asai Kiyoshi, Takagi Toshihisa

机构信息

Database Center for Life Science, Research Organization of Information and Systems, 2-11-16, Yayoi, Bunkyo-ku, Tokyo, 113-0032, Japan.

出版信息

J Biomed Semantics. 2013 Feb 11;4(1):6. doi: 10.1186/2041-1480-4-6.

DOI:10.1186/2041-1480-4-6
PMID:23398680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3598643/
Abstract

BACKGROUND

BioHackathon 2010 was the third in a series of meetings hosted by the Database Center for Life Sciences (DBCLS) in Tokyo, Japan. The overall goal of the BioHackathon series is to improve the quality and accessibility of life science research data on the Web by bringing together representatives from public databases, analytical tool providers, and cyber-infrastructure researchers to jointly tackle important challenges in the area of in silico biological research.

RESULTS

The theme of BioHackathon 2010 was the 'Semantic Web', and all attendees gathered with the shared goal of producing Semantic Web data from their respective resources, and/or consuming or interacting those data using their tools and interfaces. We discussed on topics including guidelines for designing semantic data and interoperability of resources. We consequently developed tools and clients for analysis and visualization.

CONCLUSION

We provide a meeting report from BioHackathon 2010, in which we describe the discussions, decisions, and breakthroughs made as we moved towards compliance with Semantic Web technologies - from source provider, through middleware, to the end-consumer.

摘要

背景

2010年生物黑客马拉松是日本东京生命科学数据库中心(DBCLS)主办的系列会议中的第三次会议。生物黑客马拉松系列会议的总体目标是通过召集公共数据库代表、分析工具提供商和网络基础设施研究人员,共同应对计算机生物学研究领域的重要挑战,提高网络上生命科学研究数据的质量和可访问性。

结果

2010年生物黑客马拉松的主题是“语义网”,所有与会者齐聚一堂,共同目标是从各自的资源中生成语义网数据,和/或使用他们的工具和接口消费或交互这些数据。我们讨论了包括语义数据设计指南和资源互操作性在内的主题。我们因此开发了用于分析和可视化的工具及客户端。

结论

我们提供了一份2010年生物黑客马拉松的会议报告,其中描述了我们在朝着符合语义网技术发展过程中所进行的讨论、做出的决策和取得的突破——从源提供者到中间件,再到最终用户。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/664135ec2a41/2041-1480-4-6-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/396856d072c7/2041-1480-4-6-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/98b7a11ab7d0/2041-1480-4-6-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/664135ec2a41/2041-1480-4-6-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/396856d072c7/2041-1480-4-6-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/98b7a11ab7d0/2041-1480-4-6-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8588/3598643/664135ec2a41/2041-1480-4-6-3.jpg

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本文引用的文献

1
InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data.InterMine:一个灵活的数据仓库系统,用于整合和分析异构生物数据。
Bioinformatics. 2012 Dec 1;28(23):3163-5. doi: 10.1093/bioinformatics/bts577. Epub 2012 Sep 27.
2
Ontologies as integrative tools for plant science.本体论作为植物科学的综合工具。
Am J Bot. 2012 Aug;99(8):1263-75. doi: 10.3732/ajb.1200222. Epub 2012 Jul 30.
3
AlzPathway: a comprehensive map of signaling pathways of Alzheimer's disease.阿尔茨海默病信号通路:阿尔茨海默病信号通路的综合图谱。
日本蛋白质数据库(PDBj):更新的用户界面、资源描述框架、大型结构分析工具。
Nucleic Acids Res. 2017 Jan 4;45(D1):D282-D288. doi: 10.1093/nar/gkw962. Epub 2016 Oct 26.
4
SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena.SSBD:生物现象时空动态定量数据数据库。
Bioinformatics. 2016 Nov 15;32(22):3471-3479. doi: 10.1093/bioinformatics/btw417. Epub 2016 Jul 13.
5
FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation.FALDO:一种用于描述核苷酸和蛋白质特征注释位置的语义标准。
J Biomed Semantics. 2016 Jun 13;7:39. doi: 10.1186/s13326-016-0067-z.
6
A Querying Method over RDF-ized Health Level Seven v2.5 Messages Using Life Science Knowledge Resources.基于生命科学知识库的 RDF 化 HL7 v2.5 消息查询方法
JMIR Med Inform. 2016 Apr 5;4(2):e12. doi: 10.2196/medinform.5275.
7
Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders.用于识别神经退行性疾病发病机制的生物信息学挖掘与建模方法
Int J Mol Sci. 2015 Dec 7;16(12):29179-206. doi: 10.3390/ijms161226148.
8
Construction of an ortholog database using the semantic web technology for integrative analysis of genomic data.利用语义网技术构建直系同源数据库以进行基因组数据的综合分析。
PLoS One. 2015 Apr 13;10(4):e0122802. doi: 10.1371/journal.pone.0122802. eCollection 2015.
9
Community-driven development for computational biology at Sprints, Hackathons and Codefests.在冲刺、黑客马拉松和编程节中推动计算生物学的社区发展。
BMC Bioinformatics. 2014;15 Suppl 14(Suppl 14):S7. doi: 10.1186/1471-2105-15-S14-S7. Epub 2014 Nov 27.
10
BioBenchmark Toyama 2012: an evaluation of the performance of triple stores on biological data.2012年富山生物基准测试:三元组存储在生物数据上的性能评估
J Biomed Semantics. 2014 Jul 10;5:32. doi: 10.1186/2041-1480-5-32. eCollection 2014.
BMC Syst Biol. 2012 May 30;6:52. doi: 10.1186/1752-0509-6-52.
4
The UCSC Genome Browser database: extensions and updates 2011.UCSC 基因组浏览器数据库:扩展和更新 2011 年版。
Nucleic Acids Res. 2012 Jan;40(Database issue):D918-23. doi: 10.1093/nar/gkr1055. Epub 2011 Nov 15.
5
modMine: flexible access to modENCODE data.modMine:灵活访问 modENCODE 数据。
Nucleic Acids Res. 2012 Jan;40(Database issue):D1082-8. doi: 10.1093/nar/gkr921. Epub 2011 Nov 12.
6
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Mol Syst Biol. 2011 Oct 25;7:543. doi: 10.1038/msb.2011.77.
7
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8
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