ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.
ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics.
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DOI：
10.1093/nar/gks938
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发表时间：
2013-01
影响因子：
14.9
通讯作者：
Westerfield M
中科院分区：
文献类型：
--
作者：
Howe DG;Bradford YM;Conlin T;Eagle AE;Fashena D;Frazer K;Knight J;Mani P;Martin R;Moxon SA;Paddock H;Pich C;Ramachandran S;Ruef BJ;Ruzicka L;Schaper K;Shao X;Singer A;Sprunger B;Van Slyke CE;Westerfield M
ZFIN，斑马鱼模式生物数据库（http：zfin.org），是斑马鱼遗传、基因组、表型和发育数据的中心资源。ZFIN策展人人工策划和整合涉及斑马鱼基因、突变体、转基因、表型、基因型、基因表达、吗啉代、抗体、解剖结构和出版物的全面数据。这些数据以及通过协作和数据交换收集的数据的集成视图通过多种基于网络的搜索表格提供。在脊椎动物模式生物中，斑马鱼是唯一适合于快速和靶向产生突变株系的动物。最近的突变体和转基因斑马鱼的快速生产，使管理与这些资源相关的数据，特别是重要的研究界。在这里，我们描述了ZFIN最近的增强功能，旨在提高我们对突变体和转基因品系的支持，包括（i）增强的突变体/转基因搜索功能;（ii）更具表现力的表型策展方法;（iii）新的下载文件和档案数据访问;（iv）新的数据库管理系统;（v）新的数据库管理系统;（v）新的数据库管理系统;（v）新的数据库管理系统;（v）新的数据库管理系统。（iv）纳入来自承担大规模产生突变体或转基因品系的实验室的新数据负荷，以及（v）新的GBrowse跟踪转基因插入，抗体和吗啉代基因。
ZFIN, the Zebrafish Model Organism Database (http://zfin.org), is the central resource for zebrafish genetic, genomic, phenotypic and developmental data. ZFIN curators manually curate and integrate comprehensive data involving zebrafish genes, mutants, transgenics, phenotypes, genotypes, gene expressions, morpholinos, antibodies, anatomical structures and publications. Integrated views of these data, as well as data gathered through collaborations and data exchanges, are provided through a wide selection of web-based search forms. Among the vertebrate model organisms, zebrafish are uniquely well suited for rapid and targeted generation of mutant lines. The recent rapid production of mutants and transgenic zebrafish is making management of data associated with these resources particularly important to the research community. Here, we describe recent enhancements to ZFIN aimed at improving our support for mutant and transgenic lines, including (i) enhanced mutant/transgenic search functionality; (ii) more expressive phenotype curation methods; (iii) new downloads files and archival data access; (iv) incorporation of new data loads from laboratories undertaking large-scale generation of mutant or transgenic lines and (v) new GBrowse tracks for transgenic insertions, genes with antibodies and morpholinos.
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影响因子：
12.3
作者：
Mungall CJ;Gkoutos GV;Smith CL;Haendel MA;Lewis SE;Ashburner M
通讯作者：
Ashburner M
影响因子：
2.4
作者：
Schofield, P. N.;Gruenberger, M.;Sundberg, J. P.
通讯作者：
Sundberg, J. P.
影响因子：
48
作者：
Clark, Karl J.;Balciunas, Darius;Pogoda, Hans-Martin;Ding, Yonghe;Westcot, Stephanie E.;Bedell, Victoria M.;Greenwood, Tammy M.;Urban, Mark D.;Skuster, Kimberly J.;Petzold, Andrew M.;Ni, Jun;Nielsen, Aubrey L.;Patowary, Ashok;Scaria, Vinod;Sivasubbu, Sridhar;Xu, Xiaolei;Hammerschmidt, Matthias;Ekker, Stephen C.
通讯作者：
Ekker, Stephen C.
DOI：
10.1073/pnas.0705502104
发表时间：
2007-07-24
影响因子：
11.1
作者：
Wang, Dongmei;Jao, Li-En;Burgess, Shawn M.
通讯作者：
Burgess, Shawn M.