Wortman Jennifer Russo, Gilsenan Jane Mabey, Joardar Vinita, Deegan Jennifer, Clutterbuck John, Andersen Mikael R, Archer David, Bencina Mojca, Braus Gerhard, Coutinho Pedro, von Döhren Hans, Doonan John, Driessen Arnold J M, Durek Pawel, Espeso Eduardo, Fekete Erzsébet, Flipphi Michel, Estrada Carlos Garcia, Geysens Steven, Goldman Gustavo, de Groot Piet W J, Hansen Kim, Harris Steven D, Heinekamp Thorsten, Helmstaedt Kerstin, Henrissat Bernard, Hofmann Gerald, Homan Tim, Horio Tetsuya, Horiuchi Hiroyuki, James Steve, Jones Meriel, Karaffa Levente, Karányi Zsolt, Kato Masashi, Keller Nancy, Kelly Diane E, Kiel Jan A K W, Kim Jung-Mi, van der Klei Ida J, Klis Frans M, Kovalchuk Andriy, Krasevec Nada, Kubicek Christian P, Liu Bo, Maccabe Andrew, Meyer Vera, Mirabito Pete, Miskei Márton, Mos Magdalena, Mullins Jonathan, Nelson David R, Nielsen Jens, Oakley Berl R, Osmani Stephen A, Pakula Tiina, Paszewski Andrzej, Paulsen Ian, Pilsyk Sebastian, Pócsi István, Punt Peter J, Ram Arthur F J, Ren Qinghu, Robellet Xavier, Robson Geoff, Seiboth Bernhard, van Solingen Piet, Specht Thomas, Sun Jibin, Taheri-Talesh Naimeh, Takeshita Norio, Ussery Dave, vanKuyk Patricia A, Visser Hans, van de Vondervoort Peter J I, de Vries Ronald P, Walton Jonathan, Xiang Xin, Xiong Yi, Zeng An Ping, Brandt Bernd W, Cornell Michael J, van den Hondel Cees A M J J, Visser Jacob, Oliver Stephen G, Turner Geoffrey
Department of Medicine Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Fungal Genet Biol. 2009 Mar;46 Suppl 1(Suppl 1):S2-13. doi: 10.1016/j.fgb.2008.12.003. Epub 2008 Dec 25.
The identification and annotation of protein-coding genes is one of the primary goals of whole-genome sequencing projects, and the accuracy of predicting the primary protein products of gene expression is vital to the interpretation of the available data and the design of downstream functional applications. Nevertheless, the comprehensive annotation of eukaryotic genomes remains a considerable challenge. Many genomes submitted to public databases, including those of major model organisms, contain significant numbers of wrong and incomplete gene predictions. We present a community-based reannotation of the Aspergillus nidulans genome with the primary goal of increasing the number and quality of protein functional assignments through the careful review of experts in the field of fungal biology.
蛋白质编码基因的识别与注释是全基因组测序项目的主要目标之一,预测基因表达的初级蛋白质产物的准确性对于现有数据的解读和下游功能应用的设计至关重要。然而,真核生物基因组的全面注释仍然是一项巨大的挑战。提交到公共数据库的许多基因组,包括主要模式生物的基因组,都包含大量错误和不完整的基因预测。我们提出了一项基于社区的构巢曲霉基因组重新注释,其主要目标是通过真菌生物学领域专家的仔细审查来增加蛋白质功能注释的数量和质量。