pedigreejs']js: a web-based graphical pedigree editor

被引：11

作者：

Carver, Tim ^{[1
]}

Cunningham, Alex P. ^{[1
]}

de Villiers, Chantal Babb ^{[2
]}

Lee, Andrew ^{[1
]}

Hartley, Simon ^{[1
]}

Tischkowitz, Marc ^{[3
,4
]}

Walter, Fiona M. ^{[2
]}

Easton, Douglas F. ^{[1
,5
]}

Antoniou, Antonis C. ^{[1
]}

机构：

[1] Univ Cambridge, Strangeways Res Lab, Dept Publ Hlth & Primary Care, Ctr Canc Genet Epidemiol, Cambridge CB1 8RN, England

[2] Univ Cambridge, Primary Care Unit, Dept Publ Hlth & Primary Care, Cambridge CB1 8RN, England

[3] Univ Cambridge, Dept Med Genet, Cambridge CB1 8RN, England

[4] Univ Cambridge, Natl Inst Hlth Res Cambridge Biomed Res Ctr, Cambridge CB1 8RN, England

[5] Univ Cambridge, Ctr Canc Genet Epidemiol, Dept Oncol, Cambridge CB1 8RN, England

来源：

BIOINFORMATICS | 2018年 / 34卷 / 06期

基金：

英国惠康基金;

关键词：

D O I：

10.1093/bioinformatics/btx705

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Motivation: The collection, management and visualization 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 visualize 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. Results: 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.

引用

页码：1069 / 1071

页数：3

共 9 条

[1]

[Anonymous], GUID GUID

[2]

BENNETT RL, 1995, AM J HUM GENET, V56, P745, DOI 10.1007/BF01408073

[3]

Bennett Robin L, 2008, J Genet Couns, V17, P424, DOI 10.1007/s10897-008-9169-9

[4] Second-generation PLINK: rising to the challenge of larger and richer datasets [J].