Title |
pedigreejs: a web-based graphical pedigree editor
|
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Published in |
Bioinformatics, October 2017
|
DOI | 10.1093/bioinformatics/btx705 |
Pubmed ID | |
Authors |
Tim Carver, Alex P Cunningham, Chantal Babb de Villiers, Andrew Lee, Simon Hartley, Marc Tischkowitz, Fiona M Walter, Douglas F Easton, Antonis C Antoniou |
Abstract |
The collection, management and visualisation of clinical pedigree (family history) data is a core activity in clinical genetics centres. However, clinical pedigree datasets can be difficult to manage, as they are time consuming to capture, and can be difficult to build, manipulate and visualise graphically. Several standalone graphical pedigree editors and drawing applications exist but there are no freely available lightweight graphical pedigree editors that can be easily configured and incorporated into web applications. We developed 'pedigreejs', an interactive graphical pedigree editor written in JavaScript, which uses standard pedigree nomenclature. Pedigreejs provides an easily configurable, extensible and lightweight pedigree editor. It makes use of an open-source Javascript library to define a hierarchical layout and to produce images in scalable vector graphics (SVG) format that can be viewed and edited in web browsers. The software is freely available under GPL licence (https://ccge-boadicea.github.io/pedigreejs/). [email protected]. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 43% |
Italy | 1 | 14% |
Unknown | 3 | 43% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 71% |
Scientists | 2 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 22% |
Student > Ph. D. Student | 4 | 15% |
Student > Master | 3 | 11% |
Other | 2 | 7% |
Professor | 1 | 4% |
Other | 1 | 4% |
Unknown | 10 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 15% |
Agricultural and Biological Sciences | 4 | 15% |
Computer Science | 3 | 11% |
Psychology | 2 | 7% |
Medicine and Dentistry | 1 | 4% |
Other | 1 | 4% |
Unknown | 12 | 44% |