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EVpedia: a community web portal for extracellular vesicles research.

Authors :
Kim DK
Lee J
Kim SR
Choi DS
Yoon YJ
Kim JH
Go G
Nhung D
Hong K
Jang SC
Kim SH
Park KS
Kim OY
Park HT
Seo JH
Aikawa E
Baj-Krzyworzeka M
van Balkom BW
Belting M
Blanc L
Bond V
Bongiovanni A
Borràs FE
Buée L
Buzás EI
Cheng L
Clayton A
Cocucci E
Dela Cruz CS
Desiderio DM
Di Vizio D
Ekström K
Falcon-Perez JM
Gardiner C
Giebel B
Greening DW
Gross JC
Gupta D
Hendrix A
Hill AF
Hill MM
Nolte-'t Hoen E
Hwang DW
Inal J
Jagannadham MV
Jayachandran M
Jee YK
Jørgensen M
Kim KP
Kim YK
Kislinger T
Lässer C
Lee DS
Lee H
van Leeuwen J
Lener T
Liu ML
Lötvall J
Marcilla A
Mathivanan S
Möller A
Morhayim J
Mullier F
Nazarenko I
Nieuwland R
Nunes DN
Pang K
Park J
Patel T
Pocsfalvi G
Del Portillo H
Putz U
Ramirez MI
Rodrigues ML
Roh TY
Royo F
Sahoo S
Schiffelers R
Sharma S
Siljander P
Simpson RJ
Soekmadji C
Stahl P
Stensballe A
Stępień E
Tahara H
Trummer A
Valadi H
Vella LJ
Wai SN
Witwer K
Yáñez-Mó M
Youn H
Zeidler R
Gho YS
Source :
Bioinformatics (Oxford, England) [Bioinformatics] 2015 Mar 15; Vol. 31 (6), pp. 933-9. Date of Electronic Publication: 2014 Nov 10.
Publication Year :
2015

Abstract

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.<br />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.<br />Availability and Implementation: The web site was implemented in PHP, Java, MySQL and Apache, and is freely available at http://evpedia.info.<br /> (© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1367-4811
Volume :
31
Issue :
6
Database :
MEDLINE
Journal :
Bioinformatics (Oxford, England)
Publication Type :
Academic Journal
Accession number :
25388151
Full Text :
https://doi.org/10.1093/bioinformatics/btu741