![]() The reasons behind such data underutilization include a widespread lack of programming expertise among experimentalist biologists to carry out the necessary file reformatting that is often necessary to integrate published data from disparate sources. Unfortunately, however, new data generation tends to significantly outpace data re-utilization, and most high throughput datasets are only rarely used in subsequent studies or to generate new hypotheses to be tested experimentally. ![]() ![]() High-throughput technologies have allowed researchers to obtain genome-wide data from a wide array of experimental model systems. Authors may use MDPI'sĮnglish editing service prior to publication or during author revisions. Submitted papers should be well formatted and use good English. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Please visit the Instructions for Authors page before submitting a manuscript. Genes is an international peer-reviewed open access monthly journal published by MDPI. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. All manuscripts are thoroughly refereed through a single-blind peer-review process. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Research articles, review articles as well as short communications are invited. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. All submissions that pass pre-check are peer-reviewed. Manuscripts can be submitted until the deadline. Once you are registered, click here to go to the submission form. Manuscripts should be submitted online at by registering and logging in to this website. We look forward to receiving your contributions. ![]() #Cytoscape viral software#In this Special Issue, we would like to invite submissions of original research and short communications on software tools, as well as review articles on topics related to “Network Visualization and Visual Network Analysis”. Standards, methods and tools to visualize networks are continuously evolving in order to keep up with biomedical research and technological advances. The computational representation of biological networks facilitates new opportunities of data and knowledge exchange between researchers, and asserts a common vocabulary and understanding of underlying principles. Recently-established high-throughput technologies have led to a surge in newly-generated knowledge on molecular interactions in biology and medicine. A single pathway sketch can contain dozens of interconnected molecules or chemicals and can still be understood by a human. Using networks to visualize knowledge and results helps readers to understand complex molecular interactions and relationships more easily. ![]()
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