SilkDB

Jing Wang;庆友 夏;Ximiao He;Mingtao Dai;Jue Ruan;Jie Chen;Guo Yu;Haifeng Yuan;Yafeng Hu;Ruiqiang Li;Tao Feng;Chen Ye;成 鲁;军 王;Songgang Li;Gane Ka Shu Wong;焕明 杨;Jian Wang;仲怀 向;泽扬 周;俊 余

Peking University;Ministry of Agriculture of the People's Republic of China;Chinese Academy of Sciences;University of Chinese Academy of Sciences;Zhejiang University;University of Washington

发表时间:2005-1-1

期 刊:Nucleic Acids Research

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=13444309574&partnerID=8YFLogxK

摘要

The Silkworm Knowledgebase (SilkDB) is a web-based repository for the curation, integration and study of silkworm genetic and genomic data. With the recent accomplishment of a ∼6X draft genome sequence of the domestic silkworm (Bombyx mori), SilkDB provides an integrated representation of the large-scale, genome-wide sequence assembly, cDNAs, clusters of expressed sequence tags (ESTs), transposable elements (TEs), mutants, single nucleotide polymorphisms (SNPs) and functional annotations of genes with assignments to InterPro domains and Gene Ontology (GO) terms. SilkDB also hosts a set of ESTs from Bombyx mandarina, a wild progenitor of B.mori, and a collection of genes from other Lepidoptera. Comparative analysis results between the domestic and wild silkworm, between B.mori and other Lepidoptera, and between B.mori and the two sequenced insects, fruitfly and mosquito, are displayed by using B.mori genome sequence as a reference framework. Designed as a basic platform, SilkDB strives to provide a comprehensive knowledgebase about the silkworm and present the silk-worm genome and related information in systematic and graphical ways for the convenience of in-depth comparative studies. SilkDB is publicly accessible at http://silkworm.genomics.org.cn.

相关科学

生物化学、遗传学和分子生物学
遗传学

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
1997
1998
1999 4.69 1.547
2000 4.614 1.668
2001 3.852 1.382
2002 4.217 1.52
2003 4.395 1.847
2004 4.912 1.967
2005 5.092 2.149
2006 4.776 2.071
2007 5.1 1.824
2008 4.912 1.583
2009 5.669 1.955
2010 5.381 1.865
2011 13.9 5.976 2.193
2012 14.6 6.329 2.415
2013 13 6.801 2.226
2014 16.1 6.64 2.536
2015 17.7 7.358 2.654
2016 18.6 7.883 2.752
2017 19.7 9.025 3.149
2018 20.2 8.636 3.236
2019 21.1 8.907 3.678
2020 23.5 9.008 4.779
2021 22.4

相似文献推荐