EVpedia: a community web portal for extracellular vesicles research
Motivation: Extracellular vesicles (EVs) are spherical bilayered proteolipids, harboring various bioactive molecules. Due to the complexity of the vesicular nomenclatures and components, online searches for EV-related publications and vesicular components are currently challenging. Results: We prese...
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Published in | Bioinformatics Vol. 31; no. 6; pp. 933 - 939 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
15.03.2015
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Subjects | |
Online Access | Get full text |
ISSN | 1367-4803 1367-4811 1367-4811 1460-2059 |
DOI | 10.1093/bioinformatics/btu741 |
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Summary: | Motivation: Extracellular vesicles (EVs) are spherical bilayered proteolipids, harboring various bioactive molecules. Due to the complexity of the vesicular nomenclatures and components, online searches for EV-related publications and vesicular components are currently challenging.
Results: We present an improved version of EVpedia, a public database for EVs research. This community web portal contains a database of publications and vesicular components, identification of orthologous vesicular components, bioinformatic tools and a personalized function. EVpedia includes 6879 publications, 172 080 vesicular components from 263 high-throughput datasets, and has been accessed more than 65 000 times from more than 750 cities. In addition, about 350 members from 73 international research groups have participated in developing EVpedia. This free web-based database might serve as a useful resource to stimulate the emerging field of EV research.
Availability and implementation: The web site was implemented in PHP, Java, MySQL and Apache, and is freely available at http://evpedia.info.
Contact: ysgho@postech.ac.kr |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors. Only these authors are not listed alphabetically by their last name. Associate Editor: Janet Kelso |
ISSN: | 1367-4803 1367-4811 1367-4811 1460-2059 |
DOI: | 10.1093/bioinformatics/btu741 |