Institut for Biomedicin

Lars Bolund

WEGO 2.0: a web tool for analyzing and plotting GO annotations, 2018 update

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

DOI

  • Jia Ye, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
  • ,
  • Yong Zhang, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Huihai Cui, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Jiawei Liu, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Yuqing Wu, Department of Statistics, University of Auckland, Auckland, 1010, New Zealand.
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  • Yun Cheng, Zhejiang Hospital, Hangzhou, Zhejiang, 310013, China.
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  • Huixing Xu, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Xingxin Huang, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Shengting Li, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • An Zhou, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Xiuqing Zhang, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Lars Bolund
  • Qiang Chen, Department of Stem Cell Research Institute, Fujian Medical University Stem Cell Research Institute, Fuzhou, Fujian, 350000, China.
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  • Jian Wang, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Huanming Yang, BGI-Shenzhen, Shenzhen, Guangdong, 518083, China.
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  • Lin Fang, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark.
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  • Chunmei Shi, Department of Stem Cell Research Institute, Fujian Medical University Stem Cell Research Institute, Fuzhou, Fujian, 350000, China.

WEGO (Web Gene Ontology Annotation Plot), created in 2006, is a simple but useful tool for visualizing, comparing and plotting GO (Gene Ontology) annotation results. Owing largely to the rapid development of high-throughput sequencing and the increasing acceptance of GO, WEGO has benefitted from outstanding performance regarding the number of users and citations in recent years, which motivated us to update to version 2.0. WEGO uses the GO annotation results as input. Based on GO's standardized DAG (Directed Acyclic Graph) structured vocabulary system, the number of genes corresponding to each GO ID is calculated and shown in a graphical format. WEGO 2.0 updates have targeted four aspects, aiming to provide a more efficient and up-to-date approach for comparative genomic analyses. First, the number of input files, previously limited to three, is now unlimited, allowing WEGO to analyze multiple datasets. Also added in this version are the reference datasets of nine model species that can be adopted as baselines in genomic comparative analyses. Furthermore, in the analyzing processes each Chi-square test is carried out for multiple datasets instead of every two samples. At last, WEGO 2.0 provides an additional output graph along with the traditional WEGO histogram, displaying the sorted P-values of GO terms and indicating their significant differences. At the same time, WEGO 2.0 features an entirely new user interface. WEGO is available for free at http://wego.genomics.org.cn.

OriginalsprogEngelsk
TidsskriftNucleic Acids Research
Vol/bind46
NummerW1
Sider (fra-til)W71-W75
ISSN0305-1048
DOI
StatusUdgivet - 2 jul. 2018

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