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http://hdl.handle.net/1942/33804
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DC Field | Value | Language |
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dc.contributor.author | Pavlopoulos, G.A. | - |
dc.contributor.author | Hooper, S.D. | - |
dc.contributor.author | Sifrim, A. | - |
dc.contributor.author | Schneider, R. | - |
dc.contributor.author | AERTS, Jan | - |
dc.date.accessioned | 2021-04-02T08:20:37Z | - |
dc.date.available | 2021-04-02T08:20:37Z | - |
dc.date.issued | 2011 | - |
dc.date.submitted | 2021-03-22T13:33:55Z | - |
dc.identifier.citation | BMC research notes, 4 (1) (Art N° 384) | - |
dc.identifier.isbn | 17560500 | - |
dc.identifier.uri | http://hdl.handle.net/1942/33804 | - |
dc.description.abstract | Background: Biological processes such as metabolic pathways, gene regulation or protein-protein interactions are often represented as graphs in systems biology. The understanding of such networks, their analysis, and their visualization are today important challenges in life sciences. While a great variety of visualization tools that try to address most of these challenges already exists, only few of them succeed to bridge the gap between visualization and network analysis. Findings: Medusa is a powerful tool for visualization and clustering analysis of large-scale biological networks. It is highly interactive and it supports weighted and unweighted multi-edged directed and undirected graphs. It combines a variety of layouts and clustering methods for comprehensive views and advanced data analysis. Its main purpose is to integrate visualization and analysis of heterogeneous data from different sources into a single network. | - |
dc.language.iso | en | - |
dc.publisher | - | |
dc.rights | 2011 Pavlopoulos et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.title | Medusa: A tool for exploring and clustering biological networks | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 1 | - |
dc.identifier.volume | 4 | - |
local.bibliographicCitation.jcat | A2 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 384 | - |
dc.identifier.doi | 10.1186/1756-0500-4-384 | - |
dc.identifier.scopus | 2-s2.0-80053463904 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?eid=2-s2.0-80053463904&partnerID=MN8TOARS | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.identifier.eissn | - | |
dc.identifier.eissn | - | |
local.provider.type | Orcid | - |
local.uhasselt.uhpub | no | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.accessRights | Closed Access | - |
item.fullcitation | Pavlopoulos, G.A.; Hooper, S.D.; Sifrim, A.; Schneider, R. & AERTS, Jan (2011) Medusa: A tool for exploring and clustering biological networks. In: BMC research notes, 4 (1) (Art N° 384). | - |
item.contributor | Pavlopoulos, G.A. | - |
item.contributor | Hooper, S.D. | - |
item.contributor | Sifrim, A. | - |
item.contributor | Schneider, R. | - |
item.contributor | AERTS, Jan | - |
crisitem.journal.issn | 1756-0500 | - |
crisitem.journal.eissn | 1756-0500 | - |
Appears in Collections: | Research publications |
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