Bioinformatics Facility
生物信息学设施
基本信息
- 批准号:7945001
- 负责人:
- 金额:$ 20.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-04-15 至 2014-02-28
- 项目状态:已结题
- 来源:
- 关键词:ArchivesAreaArtsBasic Cancer ResearchBinding SitesBioinformaticsBiological AssayBiologyBiomedical ResearchCancer BiologyCancer CenterCancer Research ProjectClinicalCollaborationsComputational BiologyComputer SimulationComputer softwareConsultConsultationsControlled VocabularyCustomDataData AnalysesData Base ManagementData SecurityData SetDatabasesDevelopmentEnsureFacultyFundingFutureGene ExpressionGenesGenomeGenomicsHousingHuman ResourcesImageIndividualInformaticsInvestmentsLaboratoriesMethodsMicroscopyModelingMolecularMolecular ModelsNucleic Acid Regulatory SequencesPatientsPharmacodynamicsProcessProteomicsQualifyingReportingResearchResearch PersonnelResource SharingResourcesReverse Transcriptase Polymerase Chain ReactionSemanticsServicesSlideSolutionsSourceSpecialistStatistical Data InterpretationSystemTissuesTrainingTraining SupportUpdateValidationVocabularyWorkWritinganticancer researchbasecDNA Arrayscomputer sciencecomputerized data processingdata integrationdata managementdata miningdata portaldesigndigitalimprovedindexinginstrumentationinteroperabilitymolecular modelingprogramspromoterprotein functionresearch facilityresearch studyresponsesoftware developmentsoftware systemssquare footsymposiumtooltranscription factorvector
项目摘要
The Bioinformatics Facility provides Cancer Center investigators with database management, software
applications support, and expertise in statistical analyses and computational modeling of biomedical
research data. In response to the growing informatics needs of funded Cancer Center researchers, the
Bioinformatics Facility was established in 2001 with a combination of Cancer Center developmental funds
and institutional support. The Cancer Center has made major investments to increase Bioinformatics facility
space, instrumentation, and personnel over the past funding period. Under the direction of Dr. Ramana
Davuluri, Director of Computational Biology, the Bioinformatics Facility has recently grown to consist of
faculty, programmers, and statistical specialists from the Center for Systems and Computational Biology.
Functions of the Facility reflect the research requirements of the three Cancer Center programs and are
broadly divided into three areas: (i) data-management; (ii) statistical analyses and computational modeling;
and (iii) advanced bioinformatics tools for integrative cancer biology. Specific services of the Bioinformatics
Facility are to: 1) provide computational support for use of database software and bioinformatics tools; 2)
provide consulting support regarding statistical design and data analyses for high-throughput experiments; 3)
provide shared archives for high throughput molecular (both microarray and sequencing) data, tissue related
data, image data, and pharmacodynamics data (extended and new service); and 4) adapt and implement
cohesive analysis and data mining tools that allow for integration and cross-validation of the comprehensive
molecular data used in integrative cancer biology research (new service in 2008). The Facility has placed a
high priority on integrating cancer research information representing a variety of data types, including clinical
patient data, molecular data from microarrays, massive-parallel sequencers (e.g. Illumina [Solexa] Genome
Analyzer) and RT-PCR, and image data from digitized microscopy slides. Data security is a primary focus of
the Bioinformatics Facility in designing and implementing software systems. The Facility also provides
computational bioinformatics support to assist in the analysis of genomic, molecular, and proteomic data
using commercial and locally-developed software packages.
Most recently, the facility has been re-located into newly renovated space (2,006 sq. ft.), providing a state-ofthe-
art server room and expanded office and conference room space.
生物信息学设施为癌症中心的研究人员提供数据库管理,软件
应用支持,以及生物医学统计分析和计算建模方面的专业知识
研究数据。为了满足受资助的癌症中心研究人员日益增长的信息学需求,
生物信息学设施成立于2001年,与癌症中心发展基金相结合
和机构支持。癌症中心已作出重大投资,以增加生物信息学设施
空间,仪器和人员在过去的资助期间。在拉玛纳医生的指导下
Davuluri,计算生物学主任,生物信息学设施最近已经发展到包括
教师,程序员和来自系统和计算生物学中心的统计专家。
该设施的功能反映了三个癌症中心项目的研究要求,
大致分为三个领域:㈠数据管理; ㈡统计分析和计算建模;
和(iii)用于综合癌症生物学的先进生物信息学工具。生物信息学的具体服务
设施包括:1)为使用数据库软件和生物信息学工具提供计算支持; 2)
为高通量实验的统计设计和数据分析提供咨询支持; 3)
为高通量分子(微阵列和测序)数据、组织相关
数据、图像数据和药效学数据(扩展和新服务);以及4)适应和实施
有凝聚力的分析和数据挖掘工具,允许集成和交叉验证的全面
用于综合癌症生物学研究的分子数据(2008年新服务)。该设施已放置一个
高度重视整合代表各种数据类型的癌症研究信息,包括临床
患者数据、来自微阵列的分子数据、并行测序仪(例如Illumina [Solexa] Genome
分析仪)和RT-PCR,以及来自数字化显微镜载玻片的图像数据。数据安全性是
生物信息学设施在设计和实施软件系统。该基金还提供
计算生物信息学支持,以协助分析基因组,分子和蛋白质组数据
使用商业和本地开发的软件包。
最近,该设施已搬迁到新装修的空间(2,006平方米)。ft.),提供一种
艺术服务器室和扩大的办公室和会议室空间。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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RAMANA V DAVULURI其他文献
RAMANA V DAVULURI的其他文献
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{{ truncateString('RAMANA V DAVULURI', 18)}}的其他基金
Developing novel deep-learning based methods for deciphering non-coding gene regulatory code
开发基于深度学习的新型方法来破译非编码基因调控密码
- 批准号:
10451673 - 财政年份:2021
- 资助金额:
$ 20.72万 - 项目类别:
Developing novel deep-learning based methods for deciphering non-coding gene regulatory code
开发基于深度学习的新型方法来破译非编码基因调控密码
- 批准号:
10615784 - 财政年份:2021
- 资助金额:
$ 20.72万 - 项目类别:
Informatics Platform for Mammalian Gene Regulation at Isoform-level
异构体水平的哺乳动物基因调控信息学平台
- 批准号:
10273985 - 财政年份:2020
- 资助金额:
$ 20.72万 - 项目类别:
Informatics Platform for Mammalian Gene Regulation at Isoform-level
异构体水平的哺乳动物基因调控信息学平台
- 批准号:
9922347 - 财政年份:2013
- 资助金额:
$ 20.72万 - 项目类别:
Informatics Platform for Mammalian Gene Regulation at Isoform-level
异构体水平的哺乳动物基因调控信息学平台
- 批准号:
8843951 - 财政年份:2013
- 资助金额:
$ 20.72万 - 项目类别:
Informatics platform for mammalian gene regulation at isoform-level
异构体水平的哺乳动物基因调控信息学平台
- 批准号:
8658144 - 财政年份:2013
- 资助金额:
$ 20.72万 - 项目类别:
Genomewide discovery & analysis of alternative promoters
全基因组发现
- 批准号:
7678211 - 财政年份:2006
- 资助金额:
$ 20.72万 - 项目类别:
Genomewide discovery & analysis of alternative promoters
全基因组发现
- 批准号:
7226994 - 财政年份:2006
- 资助金额:
$ 20.72万 - 项目类别:
Genomewide discovery & analysis of alternative promoters
全基因组发现
- 批准号:
7033451 - 财政年份:2006
- 资助金额:
$ 20.72万 - 项目类别:
Genomewide discovery & analysis of alternative promoters
全基因组发现
- 批准号:
7371108 - 财政年份:2006
- 资助金额:
$ 20.72万 - 项目类别:
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