Literature DB >> 25504850

GSDS 2.0: an upgraded gene feature visualization server.

Bo Hu1, Jinpu Jin2, An-Yuan Guo2, He Zhang2, Jingchu Luo2, Ge Gao2.   

Abstract

UNLABELLED: : Visualizing genes' structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0 with a newly designed interface, supports for more types of annotation features and formats, as well as an integrated visual editor for editing the generated figure. Moreover, a user-specified phylogenetic tree can be added to facilitate further evolutionary analysis. The full source code is also available for downloading.
AVAILABILITY AND IMPLEMENTATION: Web server and source code are freely available at http://gsds.cbi.pku.edu.cn. CONTACT: gaog@mail.cbi.pku.edu.cn or gsds@mail.cbi.pku.edu.cn SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2014. Published by Oxford University Press.

Entities:  

Mesh:

Year:  2014        PMID: 25504850      PMCID: PMC4393523          DOI: 10.1093/bioinformatics/btu817

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


1 Introduction

The visualization of gene features such as composition and position of exons and introns for genes offers visual presentation for biologists to integrate annotation, and also helps them to produce high-quality figures for publication. Thus, several web servers/software including FancyGene (Rambaldi and Ciccarelli, 2009), GECA (Fawal et al., 2012), FeatureStack (Frech et al., 2012), GSDraw (Wang et al., 2013), GPViz (Snajder et al., 2013) and GenePainter (Hammesfahr et al., 2013) have been developed recently. Designing to generate high-quality figures suitable for publication, we developed an online Gene Structure Display Server (GSDS) (Guo et al., 2007), which supported three input formats including sequences, accession number of GenBank (Benson et al., 2013) and exon positions. With more than 1 million hits annually, GSDS has been widely used by world-wide scientists in the functional (Ye et al., 2009; Wang et al., 2010) and evolutionary study (Hu et al., 2010; Yin et al., 2009; Yu et al., 2009) of gene families. According to the feedbacks from GSDS users, we developed the upgraded GSDS 2.0. Compared with the previous version, GSDS 2.0 supports two more widely used annotation formats, providing more comprehensive support for annotation files. To aid biologists generating suitable figures for publication, GSDS 2.0 offers a powerful interactive interface. Users can customize the size, shape and color of annotation features after their initial render and even fine-tune each element through an integrated visual editor. To facilitate evolutionary analysis, a user-specified phylogenetic tree can be added to the figure. Finally, the generated figure can be exported as either vector graphic (in SVG and PDF format), or raster graphic (in PNG format).

2 Usage and implementation

Based on feedbacks from users of GSDS 1.0, we upgraded GSDS to version 2.0 with a newly designed interface and several novel functions (Fig. 1):
Fig. 1.

The work flow of GSDS 2.0 (A) and the generated figure (B). A user-specified phylogenetic tree (B1) could be added to the main canvas (B2). Meanwhile, the users can adjust the size, shape and color of all features (B3), rescale introns (B4), as well as edit generated figure interactively (B5)

More types of annotation features and formats are supported. In addition to GenBank ID and FASTA sequences, GSDS 2.0 also supports commonly used formats including BED, GTF and GFF3. Moreover, extra features such as conserved elements and binding sites can also be uploaded and displayed along with the main features (‘Region 2’ in Fig. 1B). The generated figures can be further modified by users. With the purpose to generate suitable, high-quality figures for publication, GSDS 2.0 provides types of functionality on their further modification (Fig. 1B). By setting the parameters on the result page (‘Region 3’ in Fig. 1B), users can turn on/off the display of specified features and adjust their size, shape and color. Intron lengths can also be rescaled to display large introns properly (‘Region 4’ in Fig. 1B). Moreover, the generated figure can be sent to a built-in online SVG editor for further modification interactively after clicking the ‘Edit figure interactively’ button (‘Region 5’ in Fig. 1B). According to the published works using original GSDS 1.0, a large proportion of analyzes have been targeted on the evolutionary study of gene structures. Thus, we implemented a dedicated panel for users to specify a phylogenetic tree for display side-by-side with the main canvas (‘Region 1’ in Fig. 1B). The work flow of GSDS 2.0 (A) and the generated figure (B). A user-specified phylogenetic tree (B1) could be added to the main canvas (B2). Meanwhile, the users can adjust the size, shape and color of all features (B3), rescale introns (B4), as well as edit generated figure interactively (B5) Compared with similar tools, GSDS 2.0 shows superiors in both the supports for input/output formats, usability and availability (Supplementary Table S1).

3 Further directions

We have updated our GSDS to version 2.0, which supports more types of features and feature describing formats, as well as further modification on the generated figures. By analyzing the usage of GSDS and feedbacks from users, we will continue our efforts to update GSDS to better serve this community.
  13 in total

1.  GECA: a fast tool for gene evolution and conservation analysis in eukaryotic protein families.

Authors:  Nizar Fawal; Bruno Savelli; Christophe Dunand; Catherine Mathé
Journal:  Bioinformatics       Date:  2012-03-29       Impact factor: 6.937

2.  [GSDS: a gene structure display server].

Authors:  An-Yuan Guo; Qi-Hui Zhu; Xin Chen; Jing-Chu Luo
Journal:  Yi Chuan       Date:  2007-08

3.  BAHD superfamily of acyl-CoA dependent acyltransferases in Populus and Arabidopsis: bioinformatics and gene expression.

Authors:  Xiao-Hong Yu; Jin-Ying Gou; Chang-Jun Liu
Journal:  Plant Mol Biol       Date:  2009-04-03       Impact factor: 4.076

4.  GPViz: dynamic visualization of genomic regions and variants affecting protein domains.

Authors:  Rene Snajder; Zlatko Trajanoski; Hubert Hackl
Journal:  Bioinformatics       Date:  2013-06-19       Impact factor: 6.937

5.  Identification and expression profiling analysis of TIFY family genes involved in stress and phytohormone responses in rice.

Authors:  Haiyan Ye; Hao Du; Ning Tang; Xianghua Li; Lizhong Xiong
Journal:  Plant Mol Biol       Date:  2009-07-18       Impact factor: 4.076

6.  FeatureStack: Perl module for comparative visualization of gene features.

Authors:  Christian Frech; Caleb Choo; Nansheng Chen
Journal:  Bioinformatics       Date:  2012-09-27       Impact factor: 6.937

7.  Comprehensive analysis of NAC domain transcription factor gene family in Populus trichocarpa.

Authors:  Ruibo Hu; Guang Qi; Yingzhen Kong; Dejing Kong; Qian Gao; Gongke Zhou
Journal:  BMC Plant Biol       Date:  2010-07-15       Impact factor: 4.215

8.  FancyGene: dynamic visualization of gene structures and protein domain architectures on genomic loci.

Authors:  Davide Rambaldi; Francesca D Ciccarelli
Journal:  Bioinformatics       Date:  2009-06-19       Impact factor: 6.937

9.  PIECE: a database for plant gene structure comparison and evolution.

Authors:  Yi Wang; Frank M You; Gerard R Lazo; Ming-Cheng Luo; Roger Thilmony; Sean Gordon; Shahryar F Kianian; Yong Q Gu
Journal:  Nucleic Acids Res       Date:  2012-11-24       Impact factor: 16.971

10.  The cellulose synthase superfamily in fully sequenced plants and algae.

Authors:  Yanbin Yin; Jinling Huang; Ying Xu
Journal:  BMC Plant Biol       Date:  2009-07-31       Impact factor: 4.215

View more
  1053 in total

1.  Genome-wide analysis of CrRLK1L gene family in Gossypium and identification of candidate CrRLK1L genes related to fiber development.

Authors:  Erli Niu; Caiping Cai; Yongjie Zheng; Xiaoguang Shang; Lei Fang; Wangzhen Guo
Journal:  Mol Genet Genomics       Date:  2016-01-30       Impact factor: 3.291

2.  Evolution and structural diversification of Nictaba-like lectin genes in food crops with a focus on soybean (Glycine max).

Authors:  Sofie Van Holle; Pierre Rougé; Els J M Van Damme
Journal:  Ann Bot       Date:  2017-03-01       Impact factor: 4.357

3.  Comparative co-expression network analysis extracts the SlHSP70 gene affecting to shoot elongation of tomato.

Authors:  Nam Tuan Vu; Ken Kamiya; Atsushi Fukushima; Shuhei Hao; Wang Ning; Tohru Ariizumi; Hiroshi Ezura; Miyako Kusano
Journal:  Plant Biotechnol (Tokyo)       Date:  2019-09-25       Impact factor: 1.133

4.  Sesquiterpene Synthase-3-Hydroxy-3-Methylglutaryl Coenzyme A Synthase Fusion Protein Responsible for Hirsutene Biosynthesis in Stereum hirsutum.

Authors:  Christopher M Flynn; Claudia Schmidt-Dannert
Journal:  Appl Environ Microbiol       Date:  2018-05-17       Impact factor: 4.792

5.  Genome-wide identification and function characterization of GATA transcription factors during development and in response to abiotic stresses and hormone treatments in pepper.

Authors:  Chuying Yu; Ning Li; Yanxu Yin; Fei Wang; Shenghua Gao; Chunhai Jiao; Minghua Yao
Journal:  J Appl Genet       Date:  2021-02-24       Impact factor: 3.240

6.  Genome-wide identification of the HKT genes in five Rosaceae species and expression analysis of HKT genes in response to salt-stress in Fragaria vesca.

Authors:  Shichuang Zhang; Yuexia Tong; Yingjun Li; Zong-Ming Cheng; Yan Zhong
Journal:  Genes Genomics       Date:  2018-11-19       Impact factor: 1.839

7.  EPSIN1 Modulates the Plasma Membrane Abundance of FLAGELLIN SENSING2 for Effective Immune Responses.

Authors:  Carina A Collins; Erica D LaMontagne; Jeffrey C Anderson; Gayani Ekanayake; Alexander S Clarke; Lauren N Bond; Daniel J Salamango; Peter V Cornish; Scott C Peck; Antje Heese
Journal:  Plant Physiol       Date:  2020-02-24       Impact factor: 8.340

8.  Genome-wide identification and comparative analysis of the cation proton antiporters family in pear and four other Rosaceae species.

Authors:  Hongsheng Zhou; Kaijie Qi; Xing Liu; Hao Yin; Peng Wang; Jianqing Chen; Juyou Wu; Shaoling Zhang
Journal:  Mol Genet Genomics       Date:  2016-05-19       Impact factor: 3.291

9.  Functional characterization of the Glyoxalase-I (PdGLX1) gene family in date palm under abiotic stresses.

Authors:  Gerry Aplang Jana; Mahmoud W Yaish
Journal:  Plant Signal Behav       Date:  2020-08-23

10.  Genome-wide identification and expression analysis of the expansin gene family in tomato.

Authors:  Yongen Lu; Lifeng Liu; Xin Wang; Zhihui Han; Bo Ouyang; Junhong Zhang; Hanxia Li
Journal:  Mol Genet Genomics       Date:  2015-10-24       Impact factor: 3.291

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.