检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

5 篇 会议

馆藏范围

5 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4 篇 工学
- 4 篇 计算机科学与技术...
- 2 篇 电气工程
1 篇 理学
- 1 篇 生物学
1 篇 医学
- 1 篇 基础医学(可授医学...

主题

5 篇 in-memory databa...
3 篇 next-generation ...
3 篇 genome data anal...
2 篇 single nucleotid...
2 篇 real-time data a...
2 篇 variant calling
1 篇 personalized med...
1 篇 precision medici...
1 篇 drug response an...
1 篇 genome data
1 篇 heterogeneous da...
1 篇 e-health
1 篇 process integrat...

机构

3 篇 hasso plattner i...
1 篇 enterprise platf...
1 篇 charite ctr comp...
1 篇 univ potsdam has...

作者

5 篇 schapranow matth...
5 篇 plattner hasso
3 篇 faehnrich cindy
1 篇 kraus milena
1 篇 liedke franz
1 篇 bock cornelius
1 篇 perscheid cindy
1 篇 klinghammer konr...

语言

5 篇 英文

检索条件"主题词=In-Memory Database Technology"

共 5 条记录，以下是1-10 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with in-memory database technology 15

Facing the Genome Data Deluge: Efficiently Identifying Genet...

引用

30th ACM Symposium on Applied Computing (SAC)

作者： Faehnrich, Cindy Schapranow, Matthieu-P. Plattner, Hasso Univ Potsdam Hasso Plattner Inst August Bebel Str 88 D-14482 Potsdam Germany

ISBN: (纸本)9781450331968

Next-generation sequencing enables whole genome sequencing within a few hours at a minimum of cost. However, this technology imposes new challenges to computational genome analysis tasks in terms of efficiently processing an increasing amount of error-prone data. In this work, we focus on addressing these challenges for identifying Single Nucleotide Polymorphisms as one type of genetic variants in genome data. We propose the application of a column-store in-memory database for efficient data processing to profit from built-in compression and parallelization techniques and accessing data directly from main memory instead of slower disk space. We provide a statistical model that is sensitive to input data quality and utilizes knowledge from language population studies. Comparisons with state-of-the-art tools show that our approach outperforms traditional procedures on average by magnitudes of speed whilst requiring less administration efforts.

关键词： Genome Data Analysis Variant Calling Single Nucleotide Polymorphism in-memory database technology

来源：评论

学校读者我要写书评

暂无评论

HIG - An In-memory database Platform Enabling Real-time Analyses of Genome Data

HIG - An In-memory Database Platform Enabling Real-time Anal...

引用

IEEE International Conference on Big Data (Big Data)

作者： Schapranow, Matthieu-P. Plattner, Hasso Enterprise Platform & Integrat Concepts Hasso Plattner Inst D-14482 Potsdam Germany

ISBN: (纸本)9781479912926;9781479912933

Costs and time required for sequencing of DNA and RNA declined through use of next generation sequencing technology, e. g. up to 30-times coverage reads are generated in less than two days. However, its interpretation and analysis is still a time-consuming process potentially taking weeks. In this work, we present a completely new architecture for processing and analyzing genome data. It builds on the in-memory database technology to eliminate time-consuming file-based data operations and to enable real-time data analysis. We found out that the use of in-memory technology as an integral component for genome data processing and its analysis significantly reduces time and costs to obtain relevant results, e. g. in the course of personalized medicine.

关键词： Real-Time Data Analysis in-memory database technology Genome Data Personalized Medicine Next-Generation Sequencing

来源：评论

学校读者我要写书评

暂无评论

Towards Integrating the Detection of Genetic Variants into an In-memory database 2

Towards Integrating the Detection of Genetic Variants into a...

引用

IEEE International Conference on Big Data

作者： Faehnrich, Cindy Schapranow, Matthieu-P. Plattner, Hasso Hasso Plattner Inst Enterprise Platform & Integrat Concepts August Bebel Str 88 D-14482 Potsdam Germany

ISBN: (纸本)9781479956661

Next-generation sequencing enables whole genome sequencing within a few hours at a minimum of cost, entailing advanced medical applications such as personalized treatments. However, this recent technology imposes new challenges to alignment and variant calling as subsequent analysis steps. Compared to former sequencing, both must deal with an increasing amount of data to process at a significantly lower data quality - and are currently not capable of that. In this work, we focus on addressing these challenges for identifying Single Nucleotide Polymorphisms, i.e. SNP calling, in genome data as one subtask of variant calling. We propose the application of a column-store in-memory database for efficient data processing and apply the statistical model that is provided by the Genome Analysis Toolkit's UnifiedGenotyper. Comparisons with the UnifiedGenotyper show that our approach can exploit all computational resources available and accelerates SNP calling up to a factor of 22x.

关键词： Genome Data Analysis Variant Calling Single Nucleotide Polymorphism in-memory database technology Next-Generation Sequencing

来源：评论

学校读者我要写书评

暂无评论

The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine

The Medical Knowledge Cockpit: Real-time Analysis of Big Med...

引用

IEEE International Conference on Bioinformatics and Biomedicine - Medical Informatics and Decision Making

作者： Schapranow, Matthieu-P. Kraus, Milena Perscheid, Cindy Bock, Cornelius Liedke, Franz Plattner, Hasso Hasso Plattner Inst Enterprise Platform & Integrat Concepts August Bebel Str 88 D-14482 Potsdam Germany

ISBN: (纸本)9781467367981

Significant medical knowledge has been generated over past decades, but is stored in databases distributed all over the globe using individual data formats. Detailed diagnostic tests result in steadily growing patient data. Consequently, medical experts are facing challenges outside of their field of expertise, e. g. analyzing, interpreting and linking medical data. In this contribution, we share details about our Medical Knowledge Cockpit, an application designed in an interdisciplinary cooperation with medical experts to improve the identification of relevant knowledge. Built upon latest in memory database technology, it offers medical experts a unique starting point to link and analyze medical data on their own in real time. Result sets providing links back to primary data sources are assembled using patient specifics.

关键词： in-memory database technology Precision Medicine Heterogeneous Data Sources Real-time Data Analysis

来源：评论

学校读者我要写书评

暂无评论

In-memory technology Enables Interactive Drug Response Analysis 16

In-Memory Technology Enables Interactive Drug Response Analy...

引用

16th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)

作者： Schapranow, Matthieu-P. Klinghammer, Konrad Faehnrich, Cindy Plattner, Hasso Hasso Plattner Inst Enterprise Platform & Integrat Concepts August Bebel Str 88 D-14482 Potsdam Germany Charite Ctr Comprehens Canc D-10117 Berlin Germany

ISBN: (纸本)9781479966448

Latest medical diagnostics generate increasing amounts of big medical data. Specific software tools optimized for the use by healthcare experts and researchers as well as systematic processes for data processing and analysis in clinical and research environments are still missing. Our work focuses on the integration of highthroughput next-generation sequencing data and its systematic processing and its instantaneous analysis to use them in the course of precision medicine. We share our research results on designing a generic research process for drug response analysis including specific software tools built on top of our distributed in-memory computing platform for processing of big medical data. Furthermore, we present our technical foundations as well as process aspects of integrating and combining heterogeneous data sources, such as genome, patient, and experimental data.

关键词： Drug Response Analysis Genome Data Analysis Process Integration in-memory database technology E-Health Next-Generation Sequencing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共1页 << < 1 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：