About: Web service is a research topic. Over the lifetime, 57677 publications have been published within this topic receiving 989088 citations. The topic is also known as: web services & Web Service.
Papers published on a yearly basis
TL;DR: This paper was the first initiative to try to define Web 2.0 and understand its implications for the next generation of software, looking at both design patterns and business modes.
Abstract: This paper was the first initiative to try to define Web2.0 and understand its implications for the next generation of software, looking at both design patterns and business modes. Web 2.0 is the network as platform, spanning all connected devices; Web 2.0 applications are those that make the most of the intrinsic advantages of that platform: delivering software as a continually-updated service that gets better the more people use it, consuming and remixing data from multiple sources, including individual users, while providing their own data and services in a form that allows remixing by others, creating network effects through an "architecture of participation," and going beyond the page metaphor of Web 1.0 to deliver rich user experiences.
TL;DR: An update to the Galaxy-based web server deepTools, which allows users to perform complete bioinformatic workflows ranging from quality controls and normalizations of aligned reads to integrative analyses, including clustering and visualization approaches, is presented.
Abstract: We present an update to our Galaxy-based web server for processing and visualizing deeply sequenced data. Its core tool set, deepTools, allows users to perform complete bioinformatic workflows ranging from quality controls and normalizations of aligned reads to integrative analyses, including clustering and visualization approaches. Since we first described our deepTools Galaxy server in 2014, we have implemented new solutions for many requests from the community and our users. Here, we introduce significant enhancements and new tools to further improve data visualization and interpretation. deepTools continue to be open to all users and freely available as a web service at deeptools.ie-freiburg.mpg.de The new deepTools2 suite can be easily deployed within any Galaxy framework via the toolshed repository, and we also provide source code for command line usage under Linux and Mac OS X. A public and documented API for access to deepTools functionality is also available.
TL;DR: This work has focused on minimizing search times and the ability to rapidly display tabular results, regardless of the number of matches found, developing graphical summaries of the search results to provide quick, intuitive appraisement of them.
Abstract: HMMER is a software suite for protein sequence similarity searches using probabilistic methods Previously, HMMER has mainly been available only as a computationally intensive UNIX command-line tool, restricting its use Recent advances in the software, HMMER3, have resulted in a 100-fold speed gain relative to previous versions It is now feasible to make efficient profile hidden Markov model (profile HMM) searches via the web A HMMER web server (http://hmmerjaneliaorg) has been designed and implemented such that most protein database searches return within a few seconds Methods are available for searching either a single protein sequence, multiple protein sequence alignment or profile HMM against a target sequence database, and for searching a protein sequence against Pfam The web server is designed to cater to a range of different user expertise and accepts batch uploading of multiple queries at once All search methods are also available as RESTful web services, thereby allowing them to be readily integrated as remotely executed tasks in locally scripted workflows We have focused on minimizing search times and the ability to rapidly display tabular results, regardless of the number of matches found, developing graphical summaries of the search results to provide quick, intuitive appraisement of them
TL;DR: The quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer in the ProSA-web service.
Abstract: A major problem in structural biology is the recognition of errors in experimental and theoretical models of protein structures. The ProSA program (Protein Structure Analysis) is an established tool which has a large user base and is frequently employed in the refinement and validation of experimental protein structures and in structure prediction and modeling. The analysis of protein structures is generally a difficult and cumbersome exercise. The new service presented here is a straightforward and easy to use extension of the classic ProSA program which exploits the advantages of interactive web-based applications for the display of scores and energy plots that highlight potential problems spotted in protein structures. In particular, the quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer. The service specifically addresses the needs encountered in the validation of protein structures obtained from X-ray analysis, NMR spectroscopy and theoretical calculations. ProSA-web is accessible at https://prosa.services.came.sbg.ac.at.
05 Oct 2004
TL;DR: This book focuses on executable processes and comes back to abstract processes in Chapter 4, which can be used to replace sets of rules usually expressed in natural language, which is often ambiguous.
Abstract: processes are rarely used. The most common scenario is to use them as a template to define executable processes. Abstract processes can be used to replace sets of rules usually expressed in natural language, which is often ambiguous. In this book, we will first focus on executable processes and come back to abstract processes in Chapter 4. 21 This material is copyright and is licensed for the sole use by Encarnacion Bellido on 20th February 2006 Via Alemania, 10, bajos, , Palma de Mallorca, Baleares, 07006
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