| Literature DB >> 26153621 |
Guy Yachdav1, Tatyana Goldberg2, Sebastian Wilzbach2, David Dao2, Iris Shih2, Saket Choudhary3, Steve Crouch4, Max Franz5, Alexander García6, Leyla J García7, Björn A Grüning8, Devasena Inupakutika4, Ian Sillitoe9, Anil S Thanki10, Bruno Vieira11, José M Villaveces12, Maria V Schneider10, Suzanna Lewis13, Steve Pettifer14, Burkhard Rost1, Manuel Corpas10.
Abstract
BioJS is an open source software project that develops visualization tools for different types of biological data. Here we report on the factors that influenced the growth of the BioJS user and developer community, and outline our strategy for building on this growth. The lessons we have learned on BioJS may also be relevant to other open source software projects.Entities:
Keywords: JavaScript; bioinformatics; community; computational biology; cutting edge; none; open source; systems biology; visualization
Mesh:
Year: 2015 PMID: 26153621 PMCID: PMC4495654 DOI: 10.7554/eLife.07009
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140
Figure 1.Examples of BioJS tools.
Tree Viewer (visualization of phylogeny data in a tree-like graph); MSA Viewer (visualization and analysis of multiple sequence alignments); Proteome (multilevel visualization of proteomes in UniProt; The UniProt Consortium, 2015); 3D structures (visualization of protein structures); Dot-bracket (visualization of RNA secondary structures); Muts-needle plot (presentation of mutation distribution across protein sequences). Protein Feature Viewer (visualization of position-based annotations in protein sequences); Plasmids (visualization of DNA plasmids); Pathway visualization (visualization of data from Pathway Commons; Cerami et al., 2011). Note that all visualization tools are native to the browser and do not require any specialized software (such as Adobe flash, Java Virtual Machine or Microsoft Silverlight) to be installed or loaded.
DOI: http://dx.doi.org/10.7554/eLife.07009.002