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Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future
“Α picture is worth a thousand words.” This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is ve...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548842/ https://www.ncbi.nlm.nih.gov/pubmed/26309733 http://dx.doi.org/10.1186/s13742-015-0077-2 |
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author | Pavlopoulos, Georgios A. Malliarakis, Dimitris Papanikolaou, Nikolas Theodosiou, Theodosis Enright, Anton J. Iliopoulos, Ioannis |
author_facet | Pavlopoulos, Georgios A. Malliarakis, Dimitris Papanikolaou, Nikolas Theodosiou, Theodosis Enright, Anton J. Iliopoulos, Ioannis |
author_sort | Pavlopoulos, Georgios A. |
collection | PubMed |
description | “Α picture is worth a thousand words.” This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods. Here we discuss the past, present and future of genomic and systems biology visualization. We briefly comment on many visualization and analysis tools and the purposes that they serve. We focus on the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts, and also comment on the future human-computer interaction trends that would enable for enhancing visualization further. |
format | Online Article Text |
id | pubmed-4548842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45488422015-08-26 Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future Pavlopoulos, Georgios A. Malliarakis, Dimitris Papanikolaou, Nikolas Theodosiou, Theodosis Enright, Anton J. Iliopoulos, Ioannis Gigascience Review “Α picture is worth a thousand words.” This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods. Here we discuss the past, present and future of genomic and systems biology visualization. We briefly comment on many visualization and analysis tools and the purposes that they serve. We focus on the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts, and also comment on the future human-computer interaction trends that would enable for enhancing visualization further. BioMed Central 2015-08-25 /pmc/articles/PMC4548842/ /pubmed/26309733 http://dx.doi.org/10.1186/s13742-015-0077-2 Text en © Pavlopoulos et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Pavlopoulos, Georgios A. Malliarakis, Dimitris Papanikolaou, Nikolas Theodosiou, Theodosis Enright, Anton J. Iliopoulos, Ioannis Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title_full | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title_fullStr | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title_full_unstemmed | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title_short | Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
title_sort | visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548842/ https://www.ncbi.nlm.nih.gov/pubmed/26309733 http://dx.doi.org/10.1186/s13742-015-0077-2 |
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