Accessing standardized acoustic metadata: A web-based graphical interface for an acoustic metadata server

2019 ◽  
Vol 146 (4) ◽  
pp. 2935-2936
Author(s):  
Jeffery Cavner ◽  
Marie Roch ◽  
Roger Whitney ◽  
Simone Baumann-Pickering
Keyword(s):  
Graphical Interface ◽  
Web Based ◽  
Metadata Server

Prediction of Future Market Price for Agricultural Commodities

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Sagar Pathane ◽  
Uttam Patil ◽  
Nandini Sidnal
Keyword(s):  
Mobile Application ◽  
Market Price ◽  
Commodity Prices ◽  
Future Price ◽  
Future Market ◽  
Graphical Interface ◽  
Agricultural Commodities ◽  
Agricultural Commodity ◽  
Web Based ◽  
Agriculture Products

The agricultural commodity prices have a volatile nature which may increase or decrease inconsistently causing an adverse effect on the economy. The work carried out here for predicting prices of agricultural commodities is useful for the farmers because of which they can sow appropriate crop depending on its future price. Agriculture products have seasonal rates, these rates are spread over the entire year. If these rates are known/alerted to the farmers in advance, then it will be promising on ROI (Return on Investments). It requires that the rates of the agricultural products updated into the dataset of each state and each crop, in this application five crops are considered. The predictions are done based on neural networks Neuroph framework in java platform and also the previous years data. The results are produced on mobile application using android. Web based interface is also provided for displaying processed commodity rates in graphical interface. Agricultural experts can follow these graphs and predict market rates which can be informed to the farmers. The results will be provided based on the location of the users of this application.

scholarly journals Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists

2017 ◽  
Author(s):  
Xun Zhu ◽  
Thomas Wolfgruber ◽  
Austin Tasato ◽  
David G. Garmire ◽  
Lana X Garmire
Keyword(s):  
Single Cell ◽  
Enrichment Analysis ◽  
Graphical Interface ◽  
Analysis Pipeline ◽  
Web Based ◽  
Cell Clustering ◽  
Gene Filtering ◽  
Study Heterogeneity ◽  
Differential Gene ◽  
Cell Series

AbstractBackgroundSingle-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform to study heterogeneity at the single-cell level.Computational methods to process scRNA-Seq have limited accessibility to bench scientists as they require significant amounts of bioinformatics skills.ResultsWe have developed Granatum, a web-based scRNA-Seq analysis pipeline to make analysis more broadly accessible to researchers. Without a single line of programming code, users can click through the pipeline, setting parameters and visualizing results via the interactive graphical interface Granatum conveniently walks users through various steps of scRNA-Seq analysis. It has a comprehensive list of modules, including plate merging and batch-effect removal, outlier-sample removal, gene filtering, geneexpression normalization, cell clustering, differential gene expression analysis, pathway/ontology enrichment analysis, protein-networ interaction visualization, and pseudo-time cell series construction.ConclusionsGranatum enables broad adoption of scRNA-Seq technology by empowering the bench scientists with an easy-to-use graphical interface for scRNA-Seq data analysis. The package is freely available for research use athttp://garmiregroup.org/granatum/app

scholarly journals LIONESS Lab: a free web-based platform for conducting interactive experiments online

2020 ◽  
Vol 6 (1) ◽  
pp. 95-111 ◽  
Author(s):  
Marcus Giamattei ◽  
Kyanoush Seyed Yahosseini ◽  
Simon Gächter ◽  
Lucas Molleman
Keyword(s):  
Waiting Time ◽  
Graphical Interface ◽  
Online Experiments ◽  
Web Based ◽  
Methodological Challenges ◽  
Online Experimentation ◽  
Key Features ◽  
User Friendly ◽  
Time Form

Abstract LIONESS Lab is a free web-based platform for interactive online experiments. An intuitive, user-friendly graphical interface enables researchers to develop, test, and share experiments online, with minimal need for programming experience. LIONESS Lab provides solutions for the methodological challenges of interactive online experimentation, including ways to reduce waiting time, form groups on-the-fly, and deal with participant dropout. We highlight key features of the software, and show how it meets the challenges of conducting interactive experiments online.

Web Based User-Friendly Graphical Interface to Control Robots with ROS Environment

2021 ◽  
Author(s):  
Dinodi Divyanjana Rajapaksha ◽  
Mohamed Nafeel Mohamed Nuhuman ◽  
Sewmini Dananji Gunawardhana ◽  
Atchuthan Sivalingam ◽  
Mohamed Nimran Mohamed Hassan ◽  
...  
Keyword(s):  
Graphical Interface ◽  
Web Based ◽  
User Friendly

scholarly journals MemBuilder: a web-based graphical interface to build heterogeneously mixed membrane bilayers for the GROMACS biomolecular simulation program

2013 ◽  
Vol 30 (3) ◽  
pp. 439-441 ◽  
Author(s):  
Mohammad Mehdi Ghahremanpour ◽  
Seyed Shahriar Arab ◽  
Saman Biook Aghazadeh ◽  
Jin Zhang ◽  
David van der Spoel
Keyword(s):  
Simulation Program ◽  
Graphical Interface ◽  
Web Based ◽  
Membrane Bilayers ◽  
Biomolecular Simulation

scholarly journals ECX: An R Package for Studying Sensitivity of Antimicrobial Substances Using Spiral Plating Technology

2016 ◽  
Vol 17 (3) ◽  
pp. 188-194 ◽  
Author(s):  
Gabriel Andrés Torres-Londoño ◽  
Mary Hausbeck ◽  
Jianjun Hao
Keyword(s):  
R Package ◽  
Large Datasets ◽  
Graphical Interface ◽  
Commercial Software ◽  
Web Based ◽  
Plating Technique ◽  
Antimicrobial Substances ◽  
Sensitivity Studies ◽  
R Packages ◽  
User Friendly

Spiral plating technique is reliable, repeatable, and more efficient than dilution plating methods in studying the efficacy of antimicrobial products. In this method, the concentration of chemicals can be varied at different positions on agar plates, but its calculation requires using a commercial software. To establish a user-friendly and cost-free platform, the R package ECX was developed to calculate chemical concentrations in spiral plating technique. Mathematical models were established for calculating dispensed volume on agar plates using variables (molecular weight and agar height) that affect diffusion. In addition to the R packages, the web-based Shiny extensions ECX, multi, and ppm were developed to provide a graphical interface for calculating individual concentrations, multiple concentrations, and stock concentrations, respectively. No significant differences were observed (P > 0.05) when ECX was compared with the commercial software. The ability to import and process large datasets makes the ECX package a better option for spiral plating technique studies. Furthermore, the multiplatform nature of the ECX package overcomes limitations presented in other software. Therefore, these ECX characteristics can increase the use of the spiral plating technique for sensitivity studies. Accepted for publication 21 June 2016.

scholarly journals DrugComb update: a more comprehensive drug sensitivity data repository and analysis portal

2021 ◽  
Author(s):  
Shuyu Zheng ◽  
Jehad Aldahdooh ◽  
Tolou Shadbahr ◽  
Yinyin Wang ◽  
Dalal Aldahdooh ◽  
...  
Keyword(s):  
Drug Combination ◽  
Drug Combinations ◽  
Data Repository ◽  
Graphical Interface ◽  
Network Modelling ◽  
Web Based ◽  
Manual Curation ◽  
Cancer Sample ◽  
Sensitivity Data ◽  
User Friendly

Combinatorial therapies that target multiple pathways have shown great promises for treating complex diseases. DrugComb (https://drugcomb.org/) is a web-based portal for the deposition and analysis of drug combination screening datasets. Since its first release, DrugComb has received continuous updates on the coverage of data resources, as well as on the functionality of the web server to improve the analysis, visualization and interpretation of drug combination screens. Here we report significant updates of DrugComb, including: 1) manual curation and harmonization of more comprehensive drug combination and monotherapy screening data, not only for cancers but also for other diseases such as malaria and COVID-19; 2) enhanced algorithms for assessing the sensitivity and synergy of drug combinations; 3) network modelling tools to visualize the mechanisms of action of drugs or drug combinations for a given cancer sample; and 4) state-of-the-art machine learning models to predict drug combination sensitivity and synergy. These improvements have been provided with more user-friendly graphical interface and faster database infrastructure, which make DrugComb the most comprehensive web-based resources for the study of drug sensitivities for multiple diseases.

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