BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/15/2014 8:39:00 AM | Browse: 1578 | Download: 1778
 |
Received |
|
2012-12-05 09:36 |
 |
Peer-Review Started |
|
2012-12-05 18:07 |
 |
First Decision by Editorial Office Director |
|
|
 |
Return for Revision |
|
2012-12-14 11:32 |
 |
Revised |
|
2013-02-15 00:01 |
 |
Publication Fee Transferred |
|
|
 |
Second Decision by Editor |
|
2013-03-15 18:07 |
 |
Second Decision by Editor-in-Chief |
|
|
 |
Final Decision by Editorial Office Director |
|
2013-03-15 23:25 |
 |
Articles in Press |
|
|
 |
Edit the Manuscript by Language Editor |
|
|
 |
Typeset the Manuscript |
|
2013-04-09 00:06 |
 |
Publish the Manuscript Online |
|
2013-05-09 13:09 |
| Category |
Virology |
| Manuscript Type |
Topic Highlights |
| Article Title |
High-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Sandeep Amberkar, Narsis A Kiani, Ralf Bartenschlager, Gualtiero Alvisi and Lars Kaderali |
| Funding Agency and Grant Number |
|
| Corresponding Author |
Dr. Gualtiero Alvisi, PhD, Assistant Professor, Department of Molecular Medicine, University of Padua, Via Aristide Gabelli, 63, 35121 Padua, Italy. gualtiero.alvisi@unipd.it |
| Key Words |
RNA interference; High-throughput; Cell population; Dependency factors; Bioinformatics; Human immunodeficiency virus; Hepatitis C virus; Dengue virus; Viral infection; Virus-host interactions |
| Core Tip |
|
| Publish Date |
2013-05-09 13:09 |
| Citation |
Amberkar S, Kiani NA, Bartenschlager R, Alvisi G, Kaderali L. High-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay. World J Virol 2013; 2(2): 18-31 |
| URL |
http://www.wjgnet.com/2220-3249/full/v2/i2/18.htm |
| DOI |
http://dx.doi.org/10.5501/wjv.v2.i2.18 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.