Literature DB >> 25580221

The BioJS article collection of open source components for biological data visualisation.

Manuel Corpas1.   

Abstract

Data-driven research has gained momentum in the life sciences. Visualisation of these data is essential for quick generation of hypotheses and their translation into useful knowledge. BioJS is a new proposed standard for JavaScript-based components to visualise biological data. BioJS is an open source community project that to date provides 39 different components contributed by a global community. Here, we present the BioJS F1000Research collection series. A total of 12 components and a project status article are published in bulk. This collection does not intend to be an all-encompassing, comprehensive source of BioJS articles, but an initial set; future submissions from BioJS contributors are welcome.

Entities:  

Year:  2014        PMID: 25580221      PMCID: PMC4288408          DOI: 10.12688/f1000research.3-56.v1

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


Commentary

Journal articles are a useful source for dissemination of knowledge and attribution of recognition. The F1000Research BioJS article collection provides a sample of BioJS components contributed by the community to date. Articles in this series follow a similar structure to the ones published by the Bioinformatics Journal Application Notes. A description of the component’s functionality, design attributes and potential applications are included in each component article of this collection. Each BioJS component article is about two pages long and follows a structure describing its design and implementation, a use case, and potential applications for the component. The use case includes, at least, a figure with a biologically meaningful example and original biological insight. We do not expect every BioJS component to be published in this series; we do encourage, however, all interested BioJS developers to submit articles for peer review if they so wish. In this initial set of publications we present a) a community article in which we describe the status of the project in 2014 [1] and b) a select group of components available through the BioJS registry ( http://www.ebi.ac.uk/Tools/biojs/registry/). Components published in this series can be tested in the BioJS registry, with no need to install them first. Components presented in this collection can be grouped according to the type of data they are designed to visualise. According to this criterion, there are components used to visualise sequences, proteins, DNA, networks and phylogenetic trees. There are also some components that visualise a specific type of data linked to a resource. For instance, some widgets use specific data from InterMine [2], PSICQUIC [3] or KEGG [4]. Among those components purposely built to render data visualisations for a particular a resource, we present KEGGViewer [5], a component that visualises KEGG pathways; PsicquicGraph [6], which visualises molecular interactions from PSICQUIC servers, and the InterMine List Analysis [7] and Table [8] components, which display statistical analyses and a dynamic result table, respectively, for InterMine-compatible data. Among components not designed for a particular resource, the collection includes FeatureViewer [9], a component that lays out, maps and renders position-based annotations for protein sequences; HeatMapViewer [10], which renders matrix-formatted data; treeWidget [11], a component that visualises phylogenetic trees; a set of components to visualise protein-protein interaction networks [12]; DAGViewer [13], a directed acyclic graph viewer with facilities for rendering ontologies; Sequence [14], a component for visualising sequences; wigExplorer [15], which visualises wig format data; and DNAContentViewer [16], which displays GC/AT content of a DNA sequence. The types of visualisation in this initial set of articles thus include network and directed acyclic graphs, a list, a table, generic features, a heat map, a phylogenetic tree and sequence-based objects.

Summary

We present the BioJS series articles for the F1000Research BioJS collection. Each component presented in this collection has been previously validated and is readily available for use and testing through the BioJS registry. Every component must follow the minimum standards for documentation, architecture and deposition stated by the project ( https://docs.google.com/document/d/1gG036Bvwl4i-KX5BTHddGzeE_5eospL-864BrnsAS_s/edit). We encourage potential contributors for BioJS to submit software articles to this collection describing the functionality of valid components.
  12 in total

1.  PSICQUIC and PSISCORE: accessing and scoring molecular interactions.

Authors:  Bruno Aranda; Hagen Blankenburg; Samuel Kerrien; Fiona S L Brinkman; Arnaud Ceol; Emilie Chautard; Jose M Dana; Javier De Las Rivas; Marine Dumousseau; Eugenia Galeota; Anna Gaulton; Johannes Goll; Robert E W Hancock; Ruth Isserlin; Rafael C Jimenez; Jules Kerssemakers; Jyoti Khadake; David J Lynn; Magali Michaut; Gavin O'Kelly; Keiichiro Ono; Sandra Orchard; Carlos Prieto; Sabry Razick; Olga Rigina; Lukasz Salwinski; Milan Simonovic; Sameer Velankar; Andrew Winter; Guanming Wu; Gary D Bader; Gianni Cesareni; Ian M Donaldson; David Eisenberg; Gerard J Kleywegt; John Overington; Sylvie Ricard-Blum; Mike Tyers; Mario Albrecht; Henning Hermjakob
Journal:  Nat Methods       Date:  2011-06-29       Impact factor: 28.547

2.  KEGGViewer, a BioJS component to visualize KEGG Pathways.

Authors:  Jose M Villaveces; Rafael C Jimenez; Bianca H Habermann
Journal:  F1000Res       Date:  2014-02-13

3.  HeatMapViewer: interactive display of 2D data in biology.

Authors:  Guy Yachdav; Maximilian Hecht; Metsada Pasmanik-Chor; Adva Yeheskel; Burkhard Rost
Journal:  F1000Res       Date:  2014-02-13

4.  wigExplorer, a BioJS component to visualise wig data.

Authors:  Anil S Thanki; Rafael C Jimenez; Gemy G Kaithakottil; Manuel Corpas; Robert P Davey
Journal:  F1000Res       Date:  2014-02-13

5.  Data, information, knowledge and principle: back to metabolism in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Yoko Sato; Masayuki Kawashima; Miho Furumichi; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2013-11-07       Impact factor: 16.971

6.  BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs.

Authors:  Alexis Kalderimis; Radek Stepan; Julie Sullivan; Rachel Lyne; Michael Lyne; Gos Micklem
Journal:  F1000Res       Date:  2014-02-13

7.  FeatureViewer, a BioJS component for visualization of position-based annotations in protein sequences.

Authors:  Leyla Garcia; Guy Yachdav; Maria-Jesus Martin
Journal:  F1000Res       Date:  2014-02-13

8.  PsicquicGraph, a BioJS component to visualize molecular interactions from PSICQUIC servers.

Authors:  Jose M Villaveces; Rafael C Jimenez; Bianca H Habermann
Journal:  F1000Res       Date:  2014-02-13

9.  PPI layouts: BioJS components for the display of Protein-Protein Interactions.

Authors:  Gustavo A Salazar; Ayton Meintjes; Nicola Mulder
Journal:  F1000Res       Date:  2014-02-13

10.  BioJS: an open source standard for biological visualisation - its status in 2014.

Authors:  Manuel Corpas; Rafael Jimenez; Seth J Carbon; Alex García; Leyla Garcia; Tatyana Goldberg; John Gomez; Alexis Kalderimis; Suzanna E Lewis; Ian Mulvany; Aleksandra Pawlik; Francis Rowland; Gustavo Salazar; Fabian Schreiber; Ian Sillitoe; William H Spooner; Anil S Thanki; José M Villaveces; Guy Yachdav; Henning Hermjakob
Journal:  F1000Res       Date:  2014-02-13
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  3 in total

1.  biojs-io-biom, a BioJS component for handling data in Biological Observation Matrix (BIOM) format.

Authors:  Markus J Ankenbrand; Niklas Terhoeven; Sonja Hohlfeld; Frank Förster; Alexander Keller
Journal:  F1000Res       Date:  2016-09-20

2.  drawProteins: a Bioconductor/R package for reproducible and programmatic generation of protein schematics.

Authors:  Paul Brennan
Journal:  F1000Res       Date:  2018-07-18

3.  Cytoscape.js: a graph theory library for visualisation and analysis.

Authors:  Max Franz; Christian T Lopes; Gerardo Huck; Yue Dong; Onur Sumer; Gary D Bader
Journal:  Bioinformatics       Date:  2015-09-28       Impact factor: 6.937

  3 in total

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