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

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          Abstract

          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.

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          Most cited references21

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            The Gene Ontology (GO) project in 2006

            (2005)
            The Gene Ontology (GO) project () develops and uses a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see ). The GO Consortium continues to improve to the vocabulary content, reflecting the impact of several novel mechanisms of incorporating community input. A growing number of model organism databases and genome annotation groups contribute annotation sets using GO terms to GO's public repository. Updates to the AmiGO browser have improved access to contributed genome annotations. As the GO project continues to grow, the use of the GO vocabularies is becoming more varied as well as more widespread. The GO project provides an ontological annotation system that enables biologists to infer knowledge from large amounts of data.
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              The Gene Ontology project in 2008

              (2008)
              The Gene Ontology (GO) project (http://www.geneontology.org/) provides a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see http://www.sequenceontology.org/). The ontologies have been extended and refined for several biological areas, and improvements to the structure of the ontologies have been implemented. To improve the quantity and quality of gene product annotations available from its public repository, the GO Consortium has launched a focused effort to provide comprehensive and detailed annotation of orthologous genes across a number of ‘reference’ genomes, including human and several key model organisms. Software developments include two releases of the ontology-editing tool OBO-Edit, and improvements to the AmiGO browser interface.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                02 July 2018
                18 May 2018
                18 May 2018
                : 46
                : Web Server issue
                : W71-W75
                Affiliations
                [1 ]BGI-Shenzhen, Shenzhen, Guangdong, 518083, China
                [2 ]University of Auckland, Auckland, 1010, New Zealand
                [3 ]Zhejiang Hospital, Hangzhou, Zhejiang, 310013, China
                [4 ]Lars Bolund Institute of Regenerative Medicine, BGI-Qingdao, Qingdao, Shandong, 266555, China
                [5 ]Institute of Biomedicine, Aarhus University, Aarhus, DK-8000, Denmark
                [6 ]Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China
                [7 ]Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, 350014, China
                [8 ]Department of Stem Cell Research Institute, Fujian Medical University Stem Cell Research Institute, Fuzhou, Fujian, 350000, China
                [9 ]Department of Biology, University of Copenhagen, Copenhagen, 2100, Denmark
                Author notes
                To whom Correspondence should be addressed. Tel: +86 755 3630 7888; Fax: +86 755 2527 3620; Email: fangl@ 123456genomics.cn . Correspondence may also be addressed to Chunmei Shi. Tel: +86 133 6591 0949; Fax: +86 133 6591 0949; Email: scmfz@ 123456qq.com

                The authors wish it to be known that, in their opinion, the first six authors should be regarded as joint First Authors.

                Article
                gky400
                10.1093/nar/gky400
                6030983
                29788377
                45cfb379-74e0-4af1-8123-5166e6304cd4
                © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 10 May 2018
                : 15 April 2018
                : 15 February 2018
                Page count
                Pages: 5
                Funding
                Funded by: Critical Patented Project of the Science and Technology Bureau of Fujian Province
                Award ID: 2013YZ0002-2
                Funded by: Zhejiang Province for Public Welfare
                Award ID: 2016C33122
                Funded by: Natural Science and Health Foundation of Fujian Province
                Award ID: 2015J01397
                Categories
                Web Server Issue

                Genetics
                Genetics

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