MuTrack: a genome analysis system for large-scale mutagenesis in the mouse.
MuTrack: a genome analysis system for large-scale mutagenesis in the mouse.
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DOI：
10.1186/1471-2105-5-11
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发表时间：
2004-02-03
影响因子：
3
通讯作者：
Snoddy J
中科院分区：
文献类型：
--
作者：
Baker EJ;Galloway L;Jackson B;Schmoyer D;Snoddy J
现代生物学研究使得高通量小鼠模型中遗传突变的综合研究和开发成为可能。利用涵盖遗传学、分子生物学、组织学和行为科学的技术，研究人员可以以不同程度的粒度检查与人类疾病状态直接相关的突变小鼠品系的许多表型方面。这些和其他全基因组努力的成功依赖于结构良好的生物信息学核心，该核心将来自广泛分散的机构的研究人员聚集在一起，并使他们能够无缝整合数据、观察和讨论。 MuTrack 是作为大型小鼠表型筛选工作的生物信息学核心而开发的。它是在线计算工具的综合集合，可追踪数千只诱变小鼠从出生到衰老和死亡的过程。它在田纳西州多个地点进行密集表型筛选过程中识别小鼠的物理位置，并从每个域收集原始和处理后的实验数据。 MuTrack 的统计包允许研究人员实时分析小鼠谱系的异常行为，以及随后的再循环和重新测试。最终结果是对潜在和实际可遗传突变小鼠品系的分类，对突变表型表示兴趣的外部研究人员可以立即使用这些品系。 MuTrack 展示了在数据收集、整合和分析中使用生物信息学技术来识别超出单独实验室能力的独特结果集的有效性。通过利用多个机构研究人员的研究专业知识进行广泛的研究，TMGC 扩大了任何一个联盟成员的有效性。这里提出的生物信息学策略为未来的合作努力提供了大规模分析综合方法的模板。
Modern biological research makes possible the comprehensive study and development of heritable mutations in the mouse model at high-throughput. Using techniques spanning genetics, molecular biology, histology, and behavioral science, researchers may examine, with varying degrees of granularity, numerous phenotypic aspects of mutant mouse strains directly pertinent to human disease states. Success of these and other genome-wide endeavors relies on a well-structured bioinformatics core that brings together investigators from widely dispersed institutions and enables them to seamlessly integrate data, observations and discussions. MuTrack was developed as the bioinformatics core for a large mouse phenotype screening effort. It is a comprehensive collection of on-line computational tools and tracks thousands of mutagenized mice from birth through senescence and death. It identifies the physical location of mice during an intensive phenotype screening process at several locations throughout the state of Tennessee and collects raw and processed experimental data from each domain. MuTrack's statistical package allows researchers to access a real-time analysis of mouse pedigrees for aberrant behavior, and subsequent recirculation and retesting. The end result is the classification of potential and actual heritable mutant mouse strains that become immediately available to outside researchers who have expressed interest in the mutant phenotype. MuTrack demonstrates the effectiveness of using bioinformatics techniques in data collection, integration and analysis to identify unique result sets that are beyond the capacity of a solitary laboratory. By employing the research expertise of investigators at several institutions for a broad-ranging study, the TMGC has amplified the effectiveness of any one consortium member. The bioinformatics strategy presented here lends future collaborative efforts a template for a comprehensive approach to large-scale analysis.