Yale Center for Genome Analysis Shared Resource
耶鲁大学基因组分析中心共享资源
基本信息
- 批准号:10461895
- 负责人:
- 金额:$ 28.45万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1997
- 资助国家:美国
- 起止时间:1997-07-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:Applications GrantsAuthorshipBioinformaticsBiological AssayBiological SciencesBiotechnologyBlood specimenCancer BiologyCancer Center Support GrantCellsComplementComputer softwareConsultationsCustomDNADNA sequencingDataData AnalysesDoctor of PhilosophyEducational workshopEpigenetic ProcessEquipmentExperimental DesignsExpression ProfilingFundingGene ExpressionGeneticGenetic TranscriptionGenomicsGenotypeGrantHigh Performance ComputingInstitutesIonsLaboratoriesLarge-Scale SequencingLibrariesLinuxMalignant NeoplasmsMethodologyMethodsMethylationMissionPersonsPreparationProtocols documentationPublicationsRNAResearchResearch PersonnelResource SharingResourcesSamplingScientistSequence AnalysisServicesTechnologyTestingTimeTissuesTrainingTraining and EducationUnited States National Institutes of HealthVariantVendorWagesWorkWritingYale Cancer Centercostdata qualitydesignexperienceexperimental studygenome analysisgenomic platformimprovedinstrumentinterestmembernew technologynext generationnext generation sequencingprofessorresearch and developmentsecondary analysissequencing platformsquare foottooltranscriptome sequencing
项目摘要
YALE CENTER FOR GENOME ANALYSIS SHARED RESOURCE
PROJECT SUMMARY/ABSTRACT
The Yale Center for Genome Analysis (YCGA) was established in 2010 to provide next-generation sequencing
(NGS), single-cell genomics, and microarray support forYCC members. The Center is a full-service facility
dedicated to providing RNA expression profiling, DNA genotyping, and next-Gen DNA sequencing and related
state-of-the-art technologies. Full microarray and next-generation sequencing services provided by YCGA
include: DNA and RNA isolation from tissue and blood; sample preparation ready for microarray and next-Gen
sequence (NGS) analysis; providing primary data; full-time YCC-supported staff for downstream bioinformatics
data analysis, working collaboratively with YCC investigators and providing methods and other write-ups for
grants. Additionally, the staff has obtained equipment and center grants to reduce the cost of sequencing.
During the most recent funding period, 211 people have used YCGA Eighty-seven of these users (41%) were
YCC members. The majority of this use came from Genomics, Genetics and Epigenetics (GGE).
YCGA provides free consultation and training for YCC members. The core is led by Director Shrikant Mane,
PhD, Professor of Genetics, whose experience is complemented by the strong expertise of Associate Director
Kaya Bilguvar, MD, PhD.
The Specific Aims of YCGA are to provide: (1) Next-generation sequencing services using multiple sequencing
platforms, including Illumina, Ion Torrent, and Pacific Biosciences; (2) Microarray services using Affymetrix and
Illumina platforms for gene expression, genotyping, and methylation assays; (3) Single cell genomics and
structural variation determination using the 10X Genomics platform; (4) Research and development. YCGA
continuously carries out biotechnology research to develop improved methodologies and tools, to test the
relative merits of new technologies, and to generate preliminary results for NIH grants. (5) Bioinformatics. Dr.
Francesc Lopez supports the secondary analysis needs of YCC members. His salary is supported by YCC. (6)
Consultation. YCGA makes every effort to develop collaborative relationships with its users, and takes interest
in their scientific projects. (7) Education and training. Staff members actively participate in YCC Grand Rounds,
departmental seminars, and YSM Dean’s workshops aimed at providing principles and technical details of the
various genomic technologies.
耶鲁大学基因组分析共享资源中心
项目概要/摘要
耶鲁大学基因组分析中心 (YCGA) 成立于 2010 年,提供下一代测序服务
(NGS)、单细胞基因组学和为 YCC 成员提供的微阵列支持。该中心是一个提供全方位服务的设施
致力于提供 RNA 表达谱、DNA 基因分型和下一代 DNA 测序及相关服务
最先进的技术。 YCGA提供完整的微阵列和新一代测序服务
包括:从组织和血液中分离 DNA 和 RNA;为微阵列和下一代做好准备的样品制备
序列(NGS)分析;提供原始数据; YCC 支持的下游生物信息学全职员工
数据分析,与 YCC 研究人员合作并提供方法和其他文章
补助金。此外,工作人员还获得了设备和中心拨款,以降低测序成本。
在最近的资助期间,有 211 人使用过 YCGA,其中 87 人 (41%) 是
YCC会员。大部分用途来自基因组学、遗传学和表观遗传学 (GGE)。
YCGA为YCC会员提供免费咨询和培训。核心由导演Shrikant Mane领衔,
博士,遗传学教授,副主任的强大专业知识补充了他的经验
卡亚·比尔古瓦尔(Kaya Bilguvar),医学博士、哲学博士。
YCGA的具体目标是提供:(1)使用多重测序的下一代测序服务
平台,包括 Illumina、Ion Torrent 和 Pacific Biosciences; (2) 使用 Affymetrix 和的微阵列服务
用于基因表达、基因分型和甲基化检测的 Illumina 平台; (3) 单细胞基因组学和
使用 10X Genomics 平台确定结构变异; (4)研究开发。 YCGA
不断开展生物技术研究,开发改进的方法和工具,测试
新技术的相对优点,并为 NIH 拨款产生初步结果。 (5)生物信息学。博士。
Francesc Lopez 支持 YCC 会员的二次分析需求。他的工资由YCC 承担。 (6)
咨询。 YCGA 尽一切努力与用户发展合作关系,并关注
在他们的科学项目中。 (七)教育培训。员工积极参与YCC大回合,
部门研讨会和 YSM 院长研讨会旨在提供原则和技术细节
各种基因组技术。
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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SHRIKANT M MANE其他文献
SHRIKANT M MANE的其他文献
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{{ truncateString('SHRIKANT M MANE', 18)}}的其他基金
High Performance Computing Instrumentation for the Yale Center for Genome Analysis
耶鲁大学基因组分析中心的高性能计算仪器
- 批准号:
10416696 - 财政年份:2022
- 资助金额:
$ 28.45万 - 项目类别:
6500 QTrap Mass Spectrometer for Yale University
耶鲁大学 6500 QTrap 质谱仪
- 批准号:
8639871 - 财政年份:2014
- 资助金额:
$ 28.45万 - 项目类别:
GeneChip Automation and MegAllele System for Microarray Analysis at Yale Univ.
耶鲁大学用于微阵列分析的 GeneChip 自动化和 MegAllele 系统。
- 批准号:
7125786 - 财政年份:2007
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research the Nervous System
耶鲁大学微阵列神经系统研究中心
- 批准号:
6936983 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research on the Nervous Syste
耶鲁大学神经系统微阵列研究中心
- 批准号:
7089114 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research on the Nervous Syste
耶鲁大学神经系统微阵列研究中心
- 批准号:
7280655 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research on the Nervous System
耶鲁大学神经系统微阵列研究中心
- 批准号:
7245047 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research on the Nervous System
耶鲁大学神经系统微阵列研究中心
- 批准号:
7490411 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Microarray Center for Research on the Nervous System
耶鲁大学神经系统微阵列研究中心
- 批准号:
7626807 - 财政年份:2005
- 资助金额:
$ 28.45万 - 项目类别:
Yale Center for Genome Analysis Shared Resource
耶鲁大学基因组分析中心共享资源
- 批准号:
10228168 - 财政年份:1997
- 资助金额:
$ 28.45万 - 项目类别:
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