The genome sequence database: towards an integrated functional genomics resource
The genome sequence database: towards an integrated functional genomics resource
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DOI：
10.1093/nar/27.1.35
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发表时间：
1999-01-01
影响因子：
14.9
通讯作者：
Harger, C
中科院分区：
文献类型：
--
作者：
Skupski, MP;Booker, M;Harger, C
在1998年期间，位于国家基因组资源中心（NCGR）的基因组序列数据库（GSDB; http://www.ncgr.org.gsdb）的主要焦点是提高数据质量，改进数据收集，并提供访问和分析数据的新方法和工具。通过对维护数据收集和使用某些工具所需的某些数据字段进行广泛的管理，数据质量得到了提高。通过改进从国际核苷酸序列数据库协作（IC）导入数据的程序套件，也提高了数据质量，序列标签比对和共识知识库（STACK）是由南非国家生物信息学研究所（SANBI）开发的人类表达基因序列数据库，在过去一年内可用，允许公众访问表达序列的这一宝贵资源。通过添加Sequence Viewer（一种独立于平台的GSDB序列数据图形查看器）改进了数据访问。该工具还与其他搜索和数据检索工具集成。一个BLAST同源性搜索服务也提供，使研究人员能够搜索所有的数据，包括独特的数据，可从GSDB，这些改进的目的是使GSDB更容易为用户所用，扩展丰富的搜索能力已经存在于GSDB，并促进过渡到一个集成系统包含许多不同类型的生物数据。
During 1998 the primary focus of the Genome Sequence DataBase (GSDB; http://www.ncgr.org.gsdb) located at the National Center for Genome Resources (NCGR) has been to improve data quality, improve data collections, and provide new methods and tools to access and analyze data. Data quality has been improved by extensive curation of certain data fields necessary for maintaining data collections and for using certain tools. Data quality has also been increased by improvements to the suite of programs that import data from the International Nucleotide Sequence Database Collaboration (IC), The Sequence Tag Alignment and Consensus Knowledgebase (STACK), a database of human expressed gene sequences developed by the South African National Bioinformatics Institute (SANBI), became available within the last year, allowing public access to this valuable resource of expressed sequences. Data access was improved by the addition of the Sequence Viewer, a platform-independent graphical viewer for GSDB sequence data. This toot has also been integrated with other searching and data retrieval tools. A BLAST homology search service was also made available, allowing researchers to search all of the data, including the unique data, that are available from GSDB, These improvements are designed to make GSDB more accessible to users, extend the rich searching capability already present in GSDB, and to facilitate the transition to an integrated system containing many different types of biological data.