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基因组序列数据库:迈向集成功能基因组学资源。

The Genome Sequence DataBase: towards an integrated functional genomics resource.

作者信息

Skupski M P, Booker M, Farmer A, Harpold M, Huang W, Inman J, Kiphart D, Kodira C, Root S, Schilkey F, Schwertfeger J, Siepel A, Stamper D, Thayer N, Thompson R, Wortman J, Zhuang J J, Harger C

机构信息

National Center for Genome Resources, 1800 Old Pecos Trail, Suite A, Santa Fe, NM 87505, USA.

出版信息

Nucleic Acids Res. 1999 Jan 1;27(1):35-8. doi: 10.1093/nar/27.1.35.

Abstract

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 tool 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.

摘要

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 )的主要工作重点是提高数据质量、完善数据收集,并提供访问和分析数据的新方法及工具。通过对维护数据收集和使用某些工具所需的特定数据字段进行广泛管理,数据质量得到了提升。从国际核苷酸序列数据库协作组织(IC)导入数据的程序套件的改进也提高了数据质量。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——序列标签比对与共识知识库(STACK),已于去年建成并可供公众使用,使人们能够获取这一宝贵的表达序列资源。通过增加序列查看器(一种用于GSDB序列数据的独立于平台的图形查看器),数据访问得到了改善。该工具还与其他搜索和数据检索工具进行了整合。此外,还提供了BLAST同源性搜索服务,使研究人员能够搜索GSDB提供的所有数据,包括独特数据。这些改进旨在让用户更方便地访问GSDB,扩展GSDB已有的强大搜索功能,并促进向包含多种不同类型生物数据的集成系统的过渡。

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