美国能源部联合基因组研究所Illumina GA IIx和HiSeq 2000生产测序和QC分析管道

C. Daum, Matthew Zane, James E. Han, Megan Kennedy, Matthew San Diego, A. Copeland, Mingkun Li, S. Lucas
{"title":"美国能源部联合基因组研究所Illumina GA IIx和HiSeq 2000生产测序和QC分析管道","authors":"C. Daum, Matthew Zane, James E. Han, Megan Kennedy, Matthew San Diego, A. Copeland, Mingkun Li, S. Lucas","doi":"10.2172/1010544","DOIUrl":null,"url":null,"abstract":"The U.S. Department of Energy (DOE) Joint Genome Institute's (JGI) Production Sequencing group is committed to the generation of high-quality genomic DNA sequence to support the mission areas of renewable energy generation, global carbon management, and environmental characterization and clean-up. Within the JGI's Production Sequencing group, a robust Illumina Genome Analyzer and HiSeq pipeline has been established. Optimization of the sesequencer pipelines has been ongoing with the aim of continual process improvement of the laboratory workflow, reducing operational costs and project cycle times to increases ample throughput, and improving the overall quality of the sequence generated. A sequence QC analysis pipeline has been implemented to automatically generate read and assembly level quality metrics. The foremost of these optimization projects, along with sequencing and operational strategies, throughput numbers, and sequencing quality results will be presented.","PeriodicalId":17982,"journal":{"name":"Lawrence Berkeley National Laboratory","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2011-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Illumina GA IIx & HiSeq 2000 Production Sequenccing and QC Analysis Pipelines at the DOE Joint Genome Institute\",\"authors\":\"C. Daum, Matthew Zane, James E. Han, Megan Kennedy, Matthew San Diego, A. Copeland, Mingkun Li, S. Lucas\",\"doi\":\"10.2172/1010544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The U.S. Department of Energy (DOE) Joint Genome Institute's (JGI) Production Sequencing group is committed to the generation of high-quality genomic DNA sequence to support the mission areas of renewable energy generation, global carbon management, and environmental characterization and clean-up. Within the JGI's Production Sequencing group, a robust Illumina Genome Analyzer and HiSeq pipeline has been established. Optimization of the sesequencer pipelines has been ongoing with the aim of continual process improvement of the laboratory workflow, reducing operational costs and project cycle times to increases ample throughput, and improving the overall quality of the sequence generated. A sequence QC analysis pipeline has been implemented to automatically generate read and assembly level quality metrics. The foremost of these optimization projects, along with sequencing and operational strategies, throughput numbers, and sequencing quality results will be presented.\",\"PeriodicalId\":17982,\"journal\":{\"name\":\"Lawrence Berkeley National Laboratory\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lawrence Berkeley National Laboratory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2172/1010544\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lawrence Berkeley National Laboratory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2172/1010544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

美国能源部(DOE)联合基因组研究所(JGI)生产测序小组致力于生成高质量的基因组DNA序列,以支持可再生能源发电、全球碳管理以及环境表征和清理等任务领域。在JGI的生产测序组,一个强大的Illumina基因组分析仪和HiSeq产品线已经建立。为了持续改进实验室工作流程,降低操作成本和项目周期时间,以增加充足的吞吐量,并提高生成序列的整体质量,测序器管道的优化一直在进行中。序列QC分析流水线已实现自动生成读取和装配级质量度量。最重要的这些优化项目,连同测序和操作策略,吞吐量数字和测序质量结果将被提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Illumina GA IIx & HiSeq 2000 Production Sequenccing and QC Analysis Pipelines at the DOE Joint Genome Institute
The U.S. Department of Energy (DOE) Joint Genome Institute's (JGI) Production Sequencing group is committed to the generation of high-quality genomic DNA sequence to support the mission areas of renewable energy generation, global carbon management, and environmental characterization and clean-up. Within the JGI's Production Sequencing group, a robust Illumina Genome Analyzer and HiSeq pipeline has been established. Optimization of the sesequencer pipelines has been ongoing with the aim of continual process improvement of the laboratory workflow, reducing operational costs and project cycle times to increases ample throughput, and improving the overall quality of the sequence generated. A sequence QC analysis pipeline has been implemented to automatically generate read and assembly level quality metrics. The foremost of these optimization projects, along with sequencing and operational strategies, throughput numbers, and sequencing quality results will be presented.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improving Cost and Safety with Cathode-Healing and Whole Battery Deactivation SUMMARY OF RESERVOIR ENGINEERING DATA: WAIRAKEI GEOTHERMAL FIELD, NEW ZEALAND NUCLEAR MATERIALS RESEARCH PROGRESS REPORTS FOR 1979 Using Cool Roofs to Reduce Energy Use, Greenhouse Gas Emissions, and Urban Heat-island Effects: Findings from an India Experiment User's Manual for BEST-Dairy: Benchmarking and Energy/water-Saving Tool (BEST) for the Dairy Processing Industry (Version 1.2)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1