scholarly journals Building containerized workflows using the BioDepot-workflow-builder (Bwb)

2017 ◽  
Author(s):  
Ling-Hong Hung ◽  
Jiaming Hu ◽  
Trevor Meiss ◽  
Alyssa Ingersoll ◽  
Wes Lloyd ◽  
...  

AbstractWe present the BioDepot-workflow-builder (Bwb), a software tool that allows users to create and execute reproducible bioinformatics workflows using a drag-and-drop interface. Graphical widgets represent Docker containers executing a modular task. Widgets are then graphically linked to build bioinformatics workflows that can be reproducibly deployed across different local and cloud platforms. Each widget contains a form-based user interface to facilitate parameter entry and a console to display intermediate results. Bwb provides tools for rapid customization of widgets, containers and workflows. Saved workflows can be shared using Bwb’s native format or exported as shell scripts.

2015 ◽  
Vol 2015 ◽  
pp. 1-12
Author(s):  
Pavel Novoa-Hernández ◽  
Carlos Cruz Corona ◽  
David A. Pelta

In real world, many optimization problems are dynamic, which means that their model elements vary with time. These problems have received increasing attention over time, especially from the viewpoint of metaheuristics methods. In this context, experimentation is a crucial task because of the stochastic nature of both algorithms and problems. Currently, there are several technologies whose methods, problems, and performance measures can be implemented. However, in most of them, certain features that make the experimentation process easy are not present. Examples of such features are the statistical analysis of the results and a graphical user interface (GUI) that allows an easy management of the experimentation process. Bearing in mind these limitations, in the present work, we present DynOptLab, a software tool for experimental analysis in dynamic environments. DynOptLab has two main components: (1) an object-oriented framework to facilitate the implementation of new proposals and (2) a graphical user interface for the experiment management and the statistical analysis of the results. With the aim of verifying the benefits of DynOptLab’s main features, a typical case study on experimentation in dynamic environments was carried out.


2011 ◽  
pp. 256-276
Author(s):  
Mario A. Bochicchio ◽  
Nicola Fiore

In this chapter we present LEZI, an experimental software tool oriented to the production of indexed videos enriched with hypertextual and multimedia elements for distance learning applications. LEZI is based on the assumption that in particular types of educational hypermedia productions, the quality of educational content may easily compensate for a user interface limited to the essentials or a reduced set of multimedia features. Production of this kind of hypermedia application can be high quality, even with short production cycles at very low cost. The purpose of the chapter is to show how a traditional lesson or a conference can be effectively transformed into a powerful multimedia product based on a very simple and regular structure.


Author(s):  
Parisa Ghodous ◽  
Denis Vandorpe

Abstract STEP (International Standard for Product Data Representation and Exchange) is considered to be a key for the integration and exchange of product models. To achieve this objective the fundamental concept of Application Protocol has been developed. The design of an Application Protocol is composed of various processes based on different techniques. This design is vast, iterative and complex. Therefore, it seems to be necessary to develop a tool assisting the design of an Application Protocol. In this paper we describe SMGS (STEP Model Generator System), a tool that gets the different application user models and gives the corresponding STEP models and verifies the uniqueness of these models. The problems encountered using the first prototype of this tool, in the crane industry’s domain are discussed. This prototype consists of three major components: user interface module, Integrated Resources mapping module and uniqueness testing module. The object-oriented methodology is used to design the user interface. With this interface, the expert of the application’s domain, with help of data dictionary built in system, can easily access to the integrated resource models of STEP and can specialize these resources.


Author(s):  
T. W. Carnduff ◽  
J. S. Goonetillake

This chapter presents research aimed at determining the requirements of a database software tool that supports integrity validation of versioned-design artefacts through effective management of evolving constraints. It has resulted in the design and development of a constraint management model, which allows constraint evolution through representing constraints within versioned objects called Constraint Versions Objects (CVOs). This model operates around a version model that uses a well-defined configuration management strategy to manage the versions of complex artefacts. Internal and inter-dependency constraints are modelled in CVOs. The combination of our versioning, configuration management, and constraint management approaches has produced a unique model which has been implemented in a prototype database tool with an intuitive user interface. The user interface allows designers to manage design constraints without the need to program. The innovative concepts developed in this chapter are introduced using an ongoing example of a simple bicycle design.


Author(s):  
Carl A. Nelson

Tensegrity structures are unique in the sense that they tend to be overconstrained as mechanisms, yet they can be mobile due to the elastic nature of their tensile elements. The ability to easily visualize these motion properties would help designers to create new and useful tensegrity mechanisms. In this paper, a simple and interactive computational tool with a graphical user interface is presented for visualizing loading and displacements in tensegrity structures. This tool can also be extended for use with traditional static structures, including both determinate and indeterminate structures, as well as mechanisms.


2020 ◽  
pp. 073563312096966
Author(s):  
Héctor R. Ponce ◽  
Richard E. Mayer ◽  
María Soledad Loyola

One of the most common technology-enhanced items used in large-scale K-12 testing programs is the drag-and-drop response interaction. The main research questions in this study are: (a) Does adding a drag-and-drop interface to an online test affect the accuracy of student performance? (b) Does adding a drag-and-drop interface to an online test affect the speed of student performance? In three different experiments involving fourth, sixth, and eighth graders, respectively; students answered reading comprehension questions presented in conventional (i.e., paper-based design) or drag-and-drop formats. The tests consisted of four-sentence ordering items in Experiment 1, four graphic organizer items in Experiment 2, and two cloze tests and two graphic organizer items in Experiment 3. The conventional and drag & drop groups were compared on test performance (i.e., accuracy) and efficiency (i.e., response time and number of mouse clicks). Across the three experiments, the conventional and drag & drop groups did not differ in mean performance, but the drag & drop group responded more efficiently than the conventional group (faster response time, d = 0.62, and fewer mouse clicks, d = 1.13).


Author(s):  
A. V. Khvostikov ◽  
D. M. Korshunov ◽  
A. S. Krylov ◽  
M. A. Boguslavskiy

Abstract. Automatic identification of minerals in images of polished section is highly demanded in exploratory geology as it can provide a significant reduction in time spent in the study of ores and eliminate the factor of misdiagnosis of minerals. The development of algorithms for automatic analysis of images of polished sections makes it possible to create of a universal tool for comparing ores from different deposits, which is also much in demand. The main contribution of this paper can be summed up in three parts: i) creation of LumenStone dataset (https://imaging.cs.msu.ru/en/research/geology/lumenstone) which unites high-quality geological images of different mineral associations and provides pixel-level semantic segmentation masks, ii) development of CNN-based neural network for automatic identification of minerals in images of polished sections, iii) implementation of software tool with graphical user interface that can be used by expert geologists to perform an automatic analysis of polished sections images.


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