DataBiNS-Viz: A Web-Based Tool for Visualization of Non-Synonymous SNP Data

2008 ◽  
Vol 01 (04) ◽  
pp. 233-236
Author(s):  
Fong Chun Chan ◽  
Edward A. Kawas ◽  
Mark D. Wilkinson ◽  
Scott J. Tebbutt
Keyword(s):  
Author(s):  
Naveen K. Bansal ◽  
Mehdi Maadooliat ◽  
Steven J. Schrodi

Abstract We consider a multiple hypotheses problem with directional alternatives in a decision theoretic framework. We obtain an empirical Bayes rule subject to a constraint on mixed directional false discovery rate (mdFDR≤α) under the semiparametric setting where the distribution of the test statistic is parametric, but the prior distribution is nonparametric. We proposed separate priors for the left tail and right tail alternatives as it may be required for many applications. The proposed Bayes rule is compared through simulation against rules proposed by Benjamini and Yekutieli and Efron. We illustrate the proposed methodology for two sets of data from biological experiments: HIV-transfected cell-line mRNA expression data, and a quantitative trait genome-wide SNP data set. We have developed a user-friendly web-based shiny App for the proposed method which is available through URL https://npseb.shinyapps.io/npseb/. The HIV and SNP data can be directly accessed, and the results presented in this paper can be executed.


2009 ◽  
Vol 12 (1) ◽  
pp. 9-14 ◽  
Author(s):  
E Betcheva ◽  
C Betchev ◽  
D Toncheva

Web-Based Software for Storage, Statistical Processing and Analysis of SNP Data in Studies on Complex DisordersSingle nucleotide polymorphisms (SNPs) have become a very powerful tool for molecular genetics studies. Public databases provide information on over 10 million polymorphisms in the human genome. The candidate gene approach and genomewide association studies through SNP analysis have opened a new avenue for defining the genetics of complex disorders. However, analysis of large numbers of SNPs is time-consuming, cost-intensive, and requires huge experimental and statistical resources in association studies. We have developed a web-based product that facilitates the processing and statistical analysis of SNP-genotyping data for casecontrol association studies and provides for custom design, a structured database and practical export layout. Here we describe the software product database and how it helps in high-speed comprehensive SNP analysis.


2008 ◽  
Vol 24 (14) ◽  
pp. 1643-1644 ◽  
Author(s):  
C. Morcillo-Suarez ◽  
J. Alegre ◽  
R. Sangros ◽  
E. Gazave ◽  
R. de Cid ◽  
...  

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
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2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

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.


2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  

2009 ◽  
Vol 42 (19) ◽  
pp. 27
Author(s):  
BRUCE JANCIN
Keyword(s):  

GeroPsych ◽  
2013 ◽  
Vol 26 (4) ◽  
pp. 233-241 ◽  
Author(s):  
Pär Bjälkebring ◽  
Daniel Västfjäll ◽  
Boo Johansson

Regret and regret regulation were studied using a weeklong web-based diary method. 108 participants aged 19 to 89 years reported regret for a decision made and a decision to be made. They also reported the extent to which they used strategies to prevent or regulate decision regret. Older adults reported both less experienced and anticipated regret compared to younger adults. The lower level of experienced regret in older adults was mediated by reappraisal of the decision. The lower level of anticipated regret was mediated by delaying the decision, and expecting regret in older adults. It is suggested that the lower level of regret observed in older adults is partly explained by regret prevention and regulation strategies.


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