agriGO: a GO analysis toolkit for the agricultural community
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TLDR
AgriGO as discussed by the authors is an integrated web-based GO analysis toolkit for the agricultural community, using the advantages of EasyGO, to meet analysis demands from new technologies and research objectives.Abstract:
Gene Ontology (GO), the de facto standard in gene functionality description, is used widely in functional annotation and enrichment analysis. Here, we introduce agriGO, an integrated web-based GO analysis toolkit for the agricultural community, using the advantages of our previous GO enrichment tool (EasyGO), to meet analysis demands from new technologies and research objectives. EasyGO is valuable for its proficiency, and has proved useful in uncovering biological knowledge in massive data sets from high-throughput experiments. For agriGO, the system architecture and website interface were redesigned to improve performance and accessibility. The supported organisms and gene identifiers were substantially expanded (including 38 agricultural species composed of 274 data types). The requirement on user input is more flexible, in that user-defined reference and annotation are accepted. Moreover, a new analysis approach using Gene Set Enrichment Analysis strategy and customizable features is provided. Four tools, SEA (Singular enrichment analysis), PAGE (Parametric Analysis of Gene set Enrichment), BLAST4ID (Transfer IDs by BLAST) and SEACOMPARE (Cross comparison of SEA), are integrated as a toolkit to meet different demands. We also provide a cross-comparison service so that different data sets can be compared and explored in a visualized way. Lastly, agriGO functions as a GO data repository with search and download functions; agriGO is publicly accessible at http://bioinfo.cau.edu.cn/agriGO/.read more
Citations
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Journal ArticleDOI
REVIGO Summarizes and Visualizes Long Lists of Gene Ontology Terms
TL;DR: REVIGO is a Web server that summarizes long, unintelligible lists of GO terms by finding a representative subset of the terms using a simple clustering algorithm that relies on semantic similarity measures.
Journal ArticleDOI
Ancestral polyploidy in seed plants and angiosperms
Yuannian Jiao,Norman J. Wickett,Saravanaraj Ayyampalayam,André S. Chanderbali,Lena Landherr,Paula E. Ralph,Lynn P. Tomsho,Yi Hu,Haiying Liang,Pamela S. Soltis,Douglas E. Soltis,Sandra W. Clifton,Scott E. Schlarbaum,Stephan C. Schuster,Hong Ma,Jim Leebens-Mack,Claude W. dePamphilis +16 more
TL;DR: Comprehensive phylogenomic analyses of sequenced plant genomes and more than 12.6 million new expressed-sequence-tag sequences from phylogenetically pivotal lineages are used to elucidate two groups of ancient gene duplications, implicating two WGDs in ancestral lineages shortly before the diversification of extant seed plants and extant angiosperms.
Journal ArticleDOI
agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update.
TL;DR: The updated agriGO that has a largely expanded number of supporting species and datatypes and more visualization features were added to the platform, including SEACOMPARE, direct acyclic graph (DAG) and Scatter Plots, which can be merged by choosing any significant GO term.
Journal ArticleDOI
Ten years of pathway analysis: current approaches and outstanding challenges.
TL;DR: The evolution of knowledge base–driven pathway analysis over its first decade is discussed, distinctly divided into three generations, and a number of annotation challenges that must be addressed to enable development of the next generation of pathway analysis methods are identified.
Journal ArticleDOI
The Amborella Genome and the Evolution of Flowering Plants
TL;DR: Genome structure and phylogenomic analyses indicate that the ancestral Angiosperm was a polyploid with a large constellation of both novel and ancient genes that survived to play key roles in angiosperm biology.
References
More filters
Journal ArticleDOI
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Yoav Benjamini,Yosef Hochberg +1 more
TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
Journal ArticleDOI
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Stephen F. Altschul,Thomas L. Madden,Alejandro A. Schäffer,Jinghui Zhang,Zheng Zhang,Webb Miller,David J. Lipman +6 more
TL;DR: A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original.
Journal ArticleDOI
Gene Ontology: tool for the unification of biology
M Ashburner,Catherine A. Ball,Judith A. Blake,David Botstein,Heather Butler,J. M. Cherry,Allan Peter Davis,Kara Dolinski,Selina S. Dwight,J.T. Eppig,Midori A. Harris,David P. Hill,Laurie Issel-Tarver,Andrew Kasarskis,Suzanna E. Lewis,John C. Matese,Joel E. Richardson,M. Ringwald,Gerald M. Rubin,Gavin Sherlock +19 more
TL;DR: 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.
Journal ArticleDOI
A Simple Sequentially Rejective Multiple Test Procedure
TL;DR: In this paper, a simple and widely accepted multiple test procedure of the sequentially rejective type is presented, i.e. hypotheses are rejected one at a time until no further rejections can be done.
Journal ArticleDOI
The Pfam protein families database
Marco Punta,Penny Coggill,Ruth Y. Eberhardt,Jaina Mistry,John Tate,Chris Boursnell,Ningze Pang,Kristoffer Forslund,Goran Ceric,Jody Clements,Andreas Heger,Liisa Holm,Erik L. L. Sonnhammer,Sean R. Eddy,Alex Bateman,Robert D. Finn +15 more
TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
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