Se-making [4?]. In the last decade, SCH 530348MedChemExpress SCH 530348 experts started to integrate possibilities for
Se-making [4?]. In the last decade, experts started to integrate possibilities for visualization of PPI networks to facilitate exploration and PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/28242652 analysis tasks. Visualizations of interaction networks are mostly rendered graphs providing an overall picture of pathways mapping biological functions [7?0]. Some of the many available resources lack maintenance and input of updates. Most of all, they lack usability [4, 5, 11]. The question remains: Which tool is the best choice for the analysis task at hand? Many analysts in the field of Biochemistry manually mine text. They try to find information on related studies and search for appropriate tools. Many researchers do not know which resources are available and which one is best suited to support their analysis. From a computer science perspective there are many possibilities to facilitate the analysis process, particularly making use of visualization features to fully exploit the human capabilities of information processing and pattern perception [12]. To support analysts in Biochemistry it is crucial to pick the right tool for the task at hand [6, 11]. We, therefore, highlight PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/29045898 a small set of tools, available on the web, that integrate auxiliary visualization features. The study focuses on web page integrated visualization software that uses the most common technologies supported by current standard web browsers. Online solutions offer fast and easy utilization characteristics compared to client standalone tools. By making use of web visualization tools we overcome issues with standalone solutions including the complicated task of finding and installing third-party solutions, appropriate plugins, difficulties in retrieving biological data, finding appropriate information when searching in default databases that are too generic within local standalone solutions, lack of central storage, interchange and collaboration possibilities [10, 13]. Web visualization represents a field of research on its own finding solutions for limitations in speed, interoperability and navigation. Hence, interdisciplinary scientists improve Bioinformatics databases and tools by adding biological content as well as integrating pervasive web applications featuring graph-based information representation. Interaction and export options are integrated into online tools for further processing of graphs with standalone tools including Cytoscape or Navigatorfor high computing analysis tasks [9, 10, 14?6]. Standalone tools offer the possibility of individual upgrades in form of add-ons and plugins, numerously available online. Changes to web tools have to be implemented by the provider. Computing power and capacity constitute limiting factors for both web and standalone products. Cytoscape represents a software, most commonly used by bioinformaticians. Still, covering this topic goes beyond the scope of this work. We focus on software that can be easily accessed and used by all experimentalists who deal with PPI analysis. We focus on web software, that neither requires any particular system, nor any root rights, any user’s knowledge of system administration or how to install a particular software. We start with giving some background on visualization in PPI analysis. Then present the comparison study and summarize comparison results of identified tools that suite the task of interactive visual analysis. At last we present its’ discussion and identified challenges.BackgroundThe human genome contains over 20000 protein-coding g.
