WormBase 2014: new views of curated biology.
WormBase 2014: new views of curated biology.
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DOI：
10.1093/nar/gkt1063
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发表时间：
2014-01
影响因子：
14.9
通讯作者：
Sternberg PW
中科院分区：
文献类型：
--
作者：
Harris TW;Baran J;Bieri T;Cabunoc A;Chan J;Chen WJ;Davis P;Done J;Grove C;Howe K;Kishore R;Lee R;Li Y;Muller HM;Nakamura C;Ozersky P;Paulini M;Raciti D;Schindelman G;Tuli MA;Van Auken K;Wang D;Wang X;Williams G;Wong JD;Yook K;Schedl T;Hodgkin J;Berriman M;Kersey P;Spieth J;Stein L;Sternberg PW
WormBase（http：//www.wormbase.org/）是一个高度策划的资源，致力于支持使用模式生物秀丽隐杆线虫的研究。WormBase拥有早于万维网的电子历史，包含从单个等位基因的序列和表型到使用下一代测序技术生成的全基因组研究的信息。近年来，我们扩大了内容，包括农业和医学意义上的其他线虫的数据，使C。elegans承担这些系统，并为服务不足的研究社区提供支持。人工整理原始文献仍然是WormBase项目的核心重点，为用户提供可靠、最新和高度交叉链接的信息。在这次更新中，我们描述了将原始原子化和高度情境化的策展数据组织成离散生物主题的综合合成的努力。接下来，我们将讨论我们的经验，通过下一代测序平台应对可用基因组序列的大量增加。最后，我们描述了新的WormBase网站的一些功能和工具，帮助用户更好地查找和探索感兴趣的数据。
WormBase (http://www.wormbase.org/) is a highly curated resource dedicated to supporting research using the model organism Caenorhabditis elegans. With an electronic history predating the World Wide Web, WormBase contains information ranging from the sequence and phenotype of individual alleles to genome-wide studies generated using next-generation sequencing technologies. In recent years, we have expanded the contents to include data on additional nematodes of agricultural and medical significance, bringing the knowledge of C. elegans to bear on these systems and providing support for underserved research communities. Manual curation of the primary literature remains a central focus of the WormBase project, providing users with reliable, up-to-date and highly cross-linked information. In this update, we describe efforts to organize the original atomized and highly contextualized curated data into integrated syntheses of discrete biological topics. Next, we discuss our experiences coping with the vast increase in available genome sequences made possible through next-generation sequencing platforms. Finally, we describe some of the features and tools of the new WormBase Web site that help users better find and explore data of interest.
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影响因子：
30.8
作者：
Andersen, Erik C.;Gerke, Justin P.;Shapiro, Joshua A.;Crissman, Jonathan R.;Ghosh, Rajarshi;Bloom, Joshua S.;Felix, Marie-Anne;Kruglyak, Leonid
通讯作者：
Kruglyak, Leonid
影响因子：
30.8
作者：
Desjardins, Christopher A.;Cerqueira, Gustavo C.;Goldberg, Jonathan M.;Hotopp, Julie C. Dunning;Haas, Brian J.;Zucker, Jeremy;Ribeiro, Jose M. C.;Saif, Sakina;Levin, Joshua Z.;Fan, Lin;Zeng, Qiandong;Russ, Carsten;Wortman, Jennifer R.;Fink, Doran L.;Birren, Bruce W.;Nutman, Thomas B.
通讯作者：
Nutman, Thomas B.
影响因子：
12.3
作者：
Schwarz EM;Korhonen PK;Campbell BE;Young ND;Jex AR;Jabbar A;Hall RS;Mondal A;Howe AC;Pell J;Hofmann A;Boag PR;Zhu XQ;Gregory T;Loukas A;Williams BA;Antoshechkin I;Brown C;Sternberg PW;Gasser RB
通讯作者：
Gasser RB
影响因子：
6.7
作者：
Kikuchi T;Cotton JA;Dalzell JJ;Hasegawa K;Kanzaki N;McVeigh P;Takanashi T;Tsai IJ;Assefa SA;Cock PJ;Otto TD;Hunt M;Reid AJ;Sanchez-Flores A;Tsuchihara K;Yokoi T;Larsson MC;Miwa J;Maule AG;Sahashi N;Jones JT;Berriman M
通讯作者：
Berriman M
影响因子：
3.3
作者：
Srinivasan, Jagan;Dillman, Adler R.;Sternberg, Paul W.
通讯作者：
Sternberg, Paul W.