scholarly journals Xeno-miRNet: a comprehensive database and analytics platform to explore xeno-miRNAs and their potential targets

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5650 ◽  
Author(s):  
Yannan Fan ◽  
Maria Habib ◽  
Jianguo Xia

Xeno-miRNAs are microRNAs originating from exogenous species detected in host biofluids. A growing number of studies have suggested that many of these xeno-miRNAs may be involved in cross-species interactions and manipulations. To date, hundreds of xeno-miRNAs have been reported in different hosts at various abundance levels. Based on computational predictions, many more miRNAs could be potentially transferred to human circulation system. There is a clear need for bioinformatics resources and tools dedicated to xeno-miRNA annotations and their potential functions. To address this need, we have systematically curated xeno-miRNAs from multiple sources, performed target predictions using well-established algorithms, and developed a user-friendly web-based tool—Xeno-miRNet—to allow researchers to search and explore xeno-miRNAs and their potential targets within different host species. Xeno-miRNet currently contains 1,702 (including both detected and predicted) xeno-miRNAs from 54 species and 98,053 potential gene targets in six hosts. The web application is freely available at http://xeno.mirnet.ca.

2018 ◽  
Author(s):  
Yannan Fan ◽  
Maria Habib ◽  
Jianguo Xia

Xeno-miRNAs are microRNAs originating from exogenous species detected in host biofluids. A growing number of studies have suggested that many of these xeno-miRNAs may be involved in cross-species interactions by targeting host mRNAs. To date, hundreds of xeno-miRNAs have been reported in different hosts at various abundance levels. Many more miRNAs could be potentially transferred to human circulation system based on computational predictions. There is a clear need for bioinformatics resources and tools dedicated to xeno-miRNA annotations and their potential functions. To address this need, we have systematically curated xeno-miRNAs from multiple sources, performed target predictions using well-established algorithms, and developed a user-friendly web-based tool - Xeno-miRNet to allow researchers to search and explore xeno-miRNAs and their potential targets within different host species. Xeno-miRNet currently contains 1,702 (including both detected and predicted) xeno-miRNAs from 54 species and 98,053 potential gene targets in six hosts. The web application is freely available at http://xeno.mirnet.ca .


2018 ◽  
Author(s):  
Yannan Fan ◽  
Maria Habib ◽  
Jianguo Xia

Xeno-miRNAs are microRNAs originating from exogenous species detected in host biofluids. A growing number of studies have suggested that many of these xeno-miRNAs may be involved in cross-species interactions by targeting host mRNAs. To date, hundreds of xeno-miRNAs have been reported in different hosts at various abundance levels. Many more miRNAs could be potentially transferred to human circulation system based on computational predictions. There is a clear need for bioinformatics resources and tools dedicated to xeno-miRNA annotations and their potential functions. To address this need, we have systematically curated xeno-miRNAs from multiple sources, performed target predictions using well-established algorithms, and developed a user-friendly web-based tool - Xeno-miRNet to allow researchers to search and explore xeno-miRNAs and their potential targets within different host species. Xeno-miRNet currently contains 1,702 (including both detected and predicted) xeno-miRNAs from 54 species and 98,053 potential gene targets in six hosts. The web application is freely available at http://xeno.mirnet.ca .


BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Tanja Gustafsson ◽  
Annelie J Sundler ◽  
Elisabeth Lindberg ◽  
Pernilla Karlsson ◽  
Hanna Maurin Söderholm

Abstract Background There is currently a strong emphasis on person-centred care (PCC) and communication; however, little research has been conducted on how to implement person-centred communication in home care settings. Therefore, the ACTION (A person-centred CommunicaTION) programme, which is a web-based education programme focusing on person-centred communication developed for nurse assistants (NAs) providing home care for older persons, was implemented. This paper reports on the process evaluation conducted with the aim to describe and evaluate the implementation of the ACTION programme. Methods A descriptive design with a mixed method approach was used. Twenty-seven NAs from two units in Sweden were recruited, and 23 of them were offered the educational intervention. Quantitative and qualitative data were collected from multiple sources before, during and after the implementation. Quantitative data were used to analyse demographics, attendance and participation, while qualitative data were used to evaluate experiences of the implementation and contextual factors influencing the implementation. Results The evaluation showed a high degree of NA participation in the first five education modules, and a decrease in the three remaining modules. Overall, the NAs perceived the web format to be easy to use and appreciated the flexibility and accessibility. The content was described as important. Challenges included time constraints; the heavy workload; and a lack of interaction, space and equipment to complete the programme. Conclusions The results suggest that web-based education seems to be an appropriate strategy in home care settings; however, areas for improvement were identified. Our findings show that participants appreciated the web-based learning format in terms of accessibility and flexibility, as well as the face-to-face group discussions. The critical importance of organizational support and available resources are highlighted, such as management involvement and local facilitation. In addition, the findings report on the implementation challenges specific to the dynamic home care context. Trial registration This intervention was implemented with nursing assistants, and the evaluation only involved nursing staff. Patients were not part of this study. According to the ICMJE, registration was not necessary ().


2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.


2021 ◽  
Vol 81 (3-4) ◽  
pp. 318-358
Author(s):  
Sander Stolk

Abstract This article provides an introduction to the web application Evoke. This application offers functionality to navigate, view, extend, and analyse thesaurus content. The thesauri that can be navigated in Evoke are expressed in Linguistic Linked Data, an interoperable data form that enables the extension of thesaurus content with custom labels and allows for the linking of thesaurus content to other digital resources. As such, Evoke is a powerful research tool that facilitates its users to perform novel cultural linguistic analyses over multiple sources. This article further demonstrates the potential of Evoke by discussing how A Thesaurus of Old English was made available in the application and how this has already been adopted in the field of Old English studies. Lastly, the author situates Evoke within a number of recent developments in the field of Digital Humanities and its applications for onomasiological research.


In the present era, the internet and new technologies are changing the information behavior of news reader .Instead of reading a copy of the local newspaper or watching the scheduledevening news, people increasingly turn to the internet for daily news updates. A Multi-Lingual news feed application is aimed at developing a web based application named multilingual news feed app. This Application deals with the user who wants to read news from the web application. User can select different countries in which a user is interested, the latest news will be fetched from the selected country. The news will be fetched and displayed based on the country selected in its own national language & the news is categorized into 7 different categories. A user can select any category which they are looking for. When you are done selecting the country & category, then the page will automatically refresh and the news will be displayed on MultiLingual news feed application. This application also supports translation and the news can be translated into any language. This application is fully responsive and has a good-looking user interface. The users will find this application much interesting for reading the news articles.


Author(s):  
Alaattin Parlakkılıç

The mobile initiative is changing education and social life worldwide. The question is how to offer the same user-friendly, aesthetically pleasing mobile learning courses on different mobile devices. Developing effective web sites courses and content isn't only about creating a course with solid material. Managers and course authors are concerned about adapting different courses to a variety of learning styles and individual needs and keeping users interested and engaged. A good place to start is to organize thoughts and figure out exactly what is wanted to be included in the web sites course. Responsive design gives the ability to create a single m-learning course that automatically adapts to any browser or device. This allows the target audience to benefit from the courses without having to worry about screen size and resolution. In this chapter, m-learning is discussed in a responsive design context that can be used across platforms and offers the design of courses according to m-learning instructional strategies.


2020 ◽  
Vol 36 (10) ◽  
pp. 3246-3247
Author(s):  
Vaclav Brazda ◽  
Jan Kolomaznik ◽  
Jean-Louis Mergny ◽  
Jiri Stastny

Abstract Motivation G-quadruplexes (G4) are important regulatory non-B DNA structures with therapeutic potential. A tool for rational design of mutations leading to decreased propensity for G4 formation should be useful in studying G4 functions. Although tools exist for G4 prediction, no easily accessible tool for the rational design of G4 mutations has been available. Results We developed a web-based tool termed G4Killer that is based on the G4Hunter algorithm. This new tool is a platform-independent and user-friendly application to design mutations crippling G4 propensity in a parsimonious way (i.e., keeping the primary sequence as close as possible to the original one). The tool is integrated into our DNA analyzer server and allows for generating mutated DNA sequences having the desired lowered G4Hunter score with minimal mutation steps. Availability and implementation The G4Killer web tool can be accessed at: http://bioinformatics.ibp.cz. Supplementary information Supplementary data are available at Bioinformatics online.


2018 ◽  
Vol 1 (2) ◽  
pp. 25-35
Author(s):  
Aliga Paul Aliga ◽  
Adetokunbo MacGregor John-Otumu ◽  
Rebecca E Imhanhahimi ◽  
Atuegbelo Confidence Akpe

Web-based applications has turn out to be very prevalent due to the ubiquity of web browsers to deliver service oriented application on-demand to diverse client over the Internet and cross site scripting (XSS) attack is a foremost security risk that has continuously ravage the web applications over the years. This paper critically examines the concept of XSS and some recent approaches for detecting and preventing XSS attacks in terms of architectural framework, algorithm used, solution location, and so on. The techniques were analysed and results showed that most of the available recognition and avoidance solutions to XSS attacks are more on the client end than the server end because of the peculiar nature of web application vulnerability and they also lack support for self-learning ability in order to detect new XSS attacks. Few researchers as cited in this paper inculcated the self-learning ability to detect and prevent XSS attacks in their design architecture using artificial neural networks and soft computing approach; a lot of improvement is still needed to effectively and efficiently handle the web application security menace as recommended.


Sign in / Sign up

Export Citation Format

Share Document