scholarly journals Corrigendum to “VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity”

2016 ◽  
Vol 2016 ◽  
pp. 1-1 ◽  
Author(s):  
Yiqing Xu ◽  
Changwei Bi ◽  
Guoxin Wu ◽  
Suyun Wei ◽  
Xiaogang Dai ◽  
...  
Keyword(s):  
Web Based ◽  
Genome Synteny ◽  
Vector Graph

scholarly journals VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yiqing Xu ◽  
Changwei Bi ◽  
Guoxin Wu ◽  
Suyun Wei ◽  
Xiaogang Dai ◽  
...  
Keyword(s):  
Online Service ◽  
Analysis Software ◽  
Sequencing Technology ◽  
Sequence Alignments ◽  
Web Based ◽  
Genome Synteny ◽  
Software Packages ◽  
Genomics Research ◽  
The Common ◽  
Vector Graph

Background. In order to understand the colocalization of genetic loci amongst species, synteny and collinearity analysis is a frequent task in comparative genomics research. However many analysis software packages are not effective in visualizing results. Problems include lack of graphic visualization, simple representation, or inextensible format of outputs. Moreover, higher throughput sequencing technology requires higher resolution image output. Implementation. To fill this gap, this paper publishes VGSC, the Vector Graph toolkit of genome Synteny and Collinearity, and its online service, to visualize the synteny and collinearity in the common graphical format, including both raster (JPEG, Bitmap, and PNG) and vector graphic (SVG, EPS, and PDF). Result. Users can upload sequence alignments from blast and collinearity relationship from the synteny analysis tools. The website can generate the vector or raster graphical results automatically. We also provide a java-based bytecode binary to enable the command-line execution.

scholarly journals Corrigendum #2 to “VGSC: A Web-Based Vector Graph Toolkit of Genome Synteny and Collinearity”

2019 ◽  
Vol 2019 ◽  
pp. 1-1
Author(s):  
Yiqing Xu ◽  
Changwei Bi ◽  
Guoxin Wu ◽  
Suyun Wei ◽  
Xiaogang Dai ◽  
...  
Keyword(s):  
Web Based ◽  
Genome Synteny ◽  
Vector Graph

scholarly journals A web-based multi-genome synteny viewer for customized data

2012 ◽  
Vol 13 (1) ◽  
pp. 190 ◽  
Author(s):  
Kashi V Revanna ◽  
Daniel Munro ◽  
Alvin Gao ◽  
Chi-Chen Chiu ◽  
Anil Pathak ◽  
...  
Keyword(s):  
Web Based ◽  
Genome Synteny

scholarly journals SynMap2 and SynMap3D: web-based whole-genome synteny browsers

2017 ◽  
Vol 33 (14) ◽  
pp. 2197-2198 ◽  
Author(s):  
Asher Haug-Baltzell ◽  
Sean A Stephens ◽  
Sean Davey ◽  
Carlos E Scheidegger ◽  
Eric Lyons
Keyword(s):  
Whole Genome ◽  
Web Based ◽  
Genome Synteny

scholarly journals GSV: a web-based genome synteny viewer for customized data

2011 ◽  
Vol 12 (1) ◽  
pp. 316 ◽  
Author(s):  
Kashi V Revanna ◽  
Chi-Chen Chiu ◽  
Ezekiel Bierschank ◽  
Qunfeng Dong
Keyword(s):  
Web Based ◽  
Genome Synteny

scholarly journals VGSC2: Second generation vector graph toolkit of genome synteny and collinearity

Genomics ◽  
2020 ◽  
Vol 112 (1) ◽  
pp. 286-288
Author(s):  
Yiqing Xu ◽  
Qi'ang Wang ◽  
Luis Tanon Reyes ◽  
Feng Cheng ◽  
Changwei Bi ◽  
...  
Keyword(s):  
Second Generation ◽  
Genome Synteny ◽  
Vector Graph

The PBL-Evaluator: a web-based tool for assessment in tutorials

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  
Web Based

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

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