SED-ML web tools: generate, modify and export standard-compliant simulation studies.
Ontology highlight
ABSTRACT:
SUBMITTER: Bergmann FT
PROVIDER: S-EPMC5860579 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Publications
SED-ML web tools: generate, modify and export standard-compliant simulation studies.
Bergmann Frank T FT Nickerson David D Waltemath Dagmar D Scharm Martin M
Bioinformatics (Oxford, England) 20170401 8
<h4>Summary</h4>The Simulation Experiment Description Markup Language (SED-ML) is a standardized format for exchanging simulation studies independently of software tools. We present the SED-ML Web Tools, an online application for creating, editing, simulating and validating SED-ML documents. The Web Tools implement all current SED-ML specifications and, thus, support complex modifications and co-simulation of models in SBML and CellML formats. Ultimately, the Web Tools lower the bar on working w ...[more]
Similar Datasets
Project description:BACKGROUND:The increasing use of computational simulation experiments to inform modern biological research creates new challenges to annotate, archive, share and reproduce such experiments. The recently published Minimum Information About a Simulation Experiment (MIASE) proposes a minimal set of information that should be provided to allow the reproduction of simulation experiments among users and software tools. RESULTS:In this article, we present the Simulation Experiment Description Markup Language (SED-ML). SED-ML encodes in a computer-readable exchange format the information required by MIASE to enable reproduction of simulation experiments. It has been developed as a community project and it is defined in a detailed technical specification and additionally provides an XML schema. The version of SED-ML described in this publication is Level 1 Version 1. It covers the description of the most frequent type of simulation experiments in the area, namely time course simulations. SED-ML documents specify which models to use in an experiment, modifications to apply on the models before using them, which simulation procedures to run on each model, what analysis results to output, and how the results should be presented. These descriptions are independent of the underlying model implementation. SED-ML is a software-independent format for encoding the description of simulation experiments; it is not specific to particular simulation tools. Here, we demonstrate that with the growing software support for SED-ML we can effectively exchange executable simulation descriptions. CONCLUSIONS:With SED-ML, software can exchange simulation experiment descriptions, enabling the validation and reuse of simulation experiments in different tools. Authors of papers reporting simulation experiments can make their simulation protocols available for other scientists to reproduce the results. Because SED-ML is agnostic about exact modeling language(s) used, experiments covering models from different fields of research can be accurately described and combined.
| S-EPMC3292844 | biostudies-literature
Project description:Abstract Diagrams constructed from standardized glyphs are central to communicating complex design information in many engineering fields. For example, circuit diagrams are commonplace in electronics and allow for a suitable abstraction of the physical system that helps support the design process. With the development of the Synthetic Biology Open Language Visual (SBOLv), bioengineers are now positioned to better describe and share their biological designs visually. However, the development of computational tools to support the creation of these diagrams is currently hampered by an excessive burden in maintenance due to the large and expanding number of glyphs present in the standard. Here, we present a Python package called paraSBOLv that enables access to the full suite of SBOLv glyphs through the use of machine-readable parametric glyph definitions. These greatly simplify the rendering process while allowing extensive customization of the resulting diagrams. We demonstrate how the adoption of paraSBOLv can accelerate the development of highly specialized biodesign visualization tools or even form the basis for more complex software by removing the burden of maintaining glyph-specific rendering code. Looking forward, we suggest that incorporation of machine-readable parametric glyph definitions into the SBOLv standard could further simplify the development of tools to produce standard-compliant diagrams and the integration of visual standards across fields.
| S-EPMC8546602 | biostudies-literature
Project description:The widespread proliferation of artificial intelligence (AI) and machine learning (ML) methods has a profound effect on the drug discovery process. However, many scientists are reluctant to utilize these powerful tools due to the steep learning curve typically associated with them. AIDDISON offers a convenient, secure, web-based platform for drug discovery, addressing the reluctance of scientists to adopt AI and ML methods due to the steep learning curve. By seamlessly integrating generative models, ADMET property predictions, searches in vast chemical spaces, and molecular docking, AIDDISON provides a sophisticated platform for modern drug discovery. It enables less computer-savvy scientists to utilize these powerful tools in their daily activities, as demonstrated by an example of identifying a valuable set of molecules for lead optimization. With AIDDISON, the benefits of AI/ML in drug discovery are accessible to all.
| S-EPMC10777390 | biostudies-literature
Project description:SummaryGene duplication and loss are important processes in the evolution of gene families. Moreover, growth of families by duplication and retention is an important mechanism by which organisms gain new functions. Therefore the ability to infer the evolutionary histories of families is an important step in understanding the evolution of function. We have recently developed DupliPHY, a software tool to infer gene family histories using parsimony and maximum likelihood. Here, we present DupliPHY-Web a web server for DupliPHY that implements additional maximum likelihood functionality and provides users an intuitive interface to run DupliPHY.Availability and implementationDupliPHY-Web is available at www.bioinf.manchester.ac.uk/dupliphy/Contact: ryan.ames@manchester.ac.ukSupplementary informationSupplementary data are available at Bioinformatics online.
| S-EPMC4308661 | biostudies-literature
Project description:The lack of software interoperability with respect to gating has traditionally been a bottleneck preventing the use of multiple analytical tools and reproducibility of flow cytometry data analysis by independent parties. To address this issue, ISAC developed Gating-ML, a computer file format to encode and interchange gates. Gating-ML 1.5 was adopted and published as an ISAC Candidate Recommendation in 2008. Feedback during the probationary period from implementors, including major commercial software companies, instrument vendors, and the wider community, has led to a streamlined Gating-ML 2.0. Gating-ML has been significantly simplified and therefore easier to support by software tools. To aid developers, free, open source reference implementations, compliance tests, and detailed examples are provided to stimulate further commercial adoption. ISAC has approved Gating-ML as a standard ready for deployment in the public domain and encourages its support within the community as it is at a mature stage of development having undergone extensive review and testing, under both theoretical and practical conditions.
| S-EPMC4874733 | biostudies-literature
Project description:CRISPR/Cas systems have gained prominence as powerful tools for genome engineering. Recent investigations into the crucial role of transposable elements (TEs) have stimulated research interest in manipulating TEs to elucidate their functions. Nevertheless, designing single guide RNAs (sgRNAs) that are both specific and efficient for TE manipulation presents a formidable challenge, considering the repetitive nature and high copy numbers of TEs. Although various sgRNA design tools have been developed for gene editing, an optimized sgRNA designer explicitly for TE manipulation has yet to be established. To bridge this gap, we presented CRISPR-TE, a web-based application featuring an accessible graphical user interface, available at https://www.crisprte.cn. CRISPR-TE could identify all potential sgRNAs for TEs and offers a comprehensive solution for efficient TE targeting at both the single duplicate and subfamily levels. We also demonstrated that young TEs can be targeted with higher coverage at the subfamily level. Finally, we validated the overexpression of SVAD, a human-specific TE, using dCas9-VP64 activator incorporated with three sgRNAs designed by our tool. Collectively, our findings suggest that CRISPR-TE may serve as a versatile framework for designing sgRNAs aimed at TE targeting.
2024-03-24 | GSE228266 | GEO
Project description:Because of Burkholderia pseudomallei's classification as a select agent in the United States, genetic manipulation of this bacterium is strictly regulated. Only a few antibiotic selection markers, including gentamicin, kanamycin, and zeocin, are currently approved for use with this bacterium, but wild-type strains are highly resistant to these antibiotics. To facilitate routine genetic manipulations of wild-type strains, several new tools were developed. A temperature-sensitive pRO1600 broad-host-range replicon was isolated and used to construct curable plasmids where the Flp and Cre recombinase genes are expressed from the rhamnose-regulated Escherichia coli P(BAD) promoter and kanamycin (nptI) and zeocin (ble) selection markers from the constitutive Burkholderia thailandensis ribosomal P(S12) or synthetic bacterial P(EM7) promoter. Flp and Cre site-specific recombination systems allow in vivo excision and recycling of nptII and ble selection markers contained on FRT or loxP cassettes. Finally, expression of Tn7 site-specific transposase from the constitutive P1 integron promoter allowed development of an efficient site-specific chromosomal integration system for B. pseudomallei. In conjunction with a natural transformation method, the utility of these new tools was demonstrated by isolating an unmarked delta(amrRAB-oprA) efflux pump mutant. Exploiting natural transformation, chromosomal DNA fragments carrying this mutation marked with zeocin resistance were transferred between the genomes of two different B. pseudomallei strains. Lastly, the deletion mutation was complemented by a chromosomally integrated mini-Tn7 element carrying the amrAB-oprA operon. The new tools allow routine select-agent-compliant genetic manipulations of B. pseudomallei and other Burkholderia species.
| S-EPMC2258562 | biostudies-literature
Project description:Pfam is a database of protein families that currently contains 7973 entries (release 18.0). A recent development in Pfam has enabled the grouping of related families into clans. Pfam clans are described in detail, together with the new associated web pages. Improvements to the range of Pfam web tools and the first set of Pfam web services that allow programmatic access to the database and associated tools are also presented. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://pfam.cgb.ki.se/).
| S-EPMC1347511 | biostudies-literature
Project description:The SBML standard is used in a number of online repositories for storing systems biology models, yet there is currently no Web-capable JavaScript library that can read and write the SBML format. This is a severe limitation since the Web has become a universal means of software distribution, and the graphical capabilities of modern web browsers offer a powerful means for building rich, interactive applications. Also, there is a growing developer population specialized in web technologies that is poised to take advantage of the universality of the web to build the next generation of tools in systems biology and other fields. However, current solutions require server-side processing in order to support existing standards in modeling. We present libsbmljs, a JavaScript/WebAssembly library for Node.js and the Web with full support for all SBML extensions. Our library is an enabling technology for online SBML editors, model-building tools, and web-based simulators, and runs entirely in the browser without the need for any dedicated server resources. We provide NPM packages, an extensive set of examples, JavaScript API documentation, and an online demo that allows users to read and validate the SBML content of any model in the BioModels and BiGG databases. We also provide instructions and scripts to allow users to build a copy of libsbmljs against any libSBML version. Although our library supports all existing SBML extensions, we cover how to add additional extensions to the wrapper, should any arise in the future. To demonstrate the utility of this implementation, we also provide a demo at https://libsbmljsdemo.github.io/ with a proof-of-concept SBML simulator that supports ODE and stochastic simulations for SBML core models. Our project is hosted at https://libsbmljs.github.io/, which contains links to examples, API documentation, and all source code files and build scripts used to create libsbmljs. Our source code is licensed under the Apache 2.0 open source license.
| S-EPMC7919167 | biostudies-literature
Project description:BackgroundA recent survey has shown that data management in clinical trials performed by academic trial units still faces many difficulties (e.g. heterogeneity of software products, deficits in quality management, limited human and financial resources and the complexity of running a local computer centre). Unfortunately, no specific, practical and open standard for both GCP-compliant data management and the underlying IT-infrastructure is available to improve the situation. For that reason the "Working Group on Data Centres" of the European Clinical Research Infrastructures Network (ECRIN) has developed a standard specifying the requirements for high quality GCP-compliant data management in multinational clinical trials.MethodsInternational, European and national regulations and guidelines relevant to GCP, data security and IT infrastructures, as well as ECRIN documents produced previously, were evaluated to provide a starting point for the development of standard requirements. The requirements were produced by expert consensus of the ECRIN Working group on Data Centres, using a structured and standardised process. The requirements were divided into two main parts: an IT part covering standards for the underlying IT infrastructure and computer systems in general, and a Data Management (DM) part covering requirements for data management applications in clinical trials.ResultsThe standard developed includes 115 IT requirements, split into 15 separate sections, 107 DM requirements (in 12 sections) and 13 other requirements (2 sections). Sections IT01 to IT05 deal with the basic IT infrastructure while IT06 and IT07 cover validation and local software development. IT08 to IT015 concern the aspects of IT systems that directly support clinical trial management. Sections DM01 to DM03 cover the implementation of a specific clinical data management application, i.e. for a specific trial, whilst DM04 to DM12 address the data management of trials across the unit. Section IN01 is dedicated to international aspects and ST01 to the competence of a trials unit's staff.ConclusionsThe standard is intended to provide an open and widely used set of requirements for GCP-compliant data management, particularly in academic trial units. It is the intention that ECRIN will use these requirements as the basis for the certification of ECRIN data centres.
| S-EPMC3074516 | biostudies-literature