Davidovich Ofir, Kimmel Gad, Shamir Ron
School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel.
BMC Bioinformatics. 2007 Feb 1;8:36. doi: 10.1186/1471-2105-8-36.
Genotype information generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with alleles and haplotypes. Given the enormous amounts of public genotype data, tools for analyzing, interpreting and visualizing these data sets are of critical importance to researchers. In past works we have developed algorithms for genotypes phasing and tag SNP selection, which were shown to be quick and accurate. Both algorithms were available until now only as batch executables.
Here we present GEVALT (GEnotype Visualization and ALgorithmic Tool), a software package designed to simplify and expedite the process of genotype analysis, by providing a common interface to several tasks relating to such analysis. GEVALT combines the strong visual abilities of Haploview with our quick and powerful algorithms for genotypes phasing (GERBIL), tag SNP selection (STAMPA) and permutation testing for evaluating significance of association. All of the above are provided in a visually appealing and interactive interface.
GEVALT is an integrated viewer that uses state of the art phasing and tag SNP selection algorithms. By streamlining the application of GERBIL and STAMPA together with strong visualization for assessment of the results, GEVALT makes the algorithms accessible to the broad community of researchers in genetics.
由个人及国际合作努力所生成的基因型信息有望彻底改变疾病研究以及表型与等位基因和单倍型的关联研究。鉴于大量的公共基因型数据,用于分析、解读和可视化这些数据集的工具对于研究人员至关重要。在过去的工作中,我们开发了用于基因型分型和标签单核苷酸多态性(SNP)选择的算法,这些算法已被证明快速且准确。到目前为止,这两种算法都仅作为批处理可执行文件提供。
在此,我们展示了GEVALT(基因型可视化与算法工具),这是一个软件包,旨在通过为与基因型分析相关的多个任务提供通用接口来简化和加速基因型分析过程。GEVALT将Haploview强大的可视化功能与我们用于基因型分型(GERBIL)、标签SNP选择(STAMPA)以及用于评估关联显著性的置换检验的快速且强大的算法相结合。以上所有功能都在一个视觉上吸引人且交互式的界面中提供。
GEVALT是一个集成查看器,它使用了最先进的分型和标签SNP选择算法。通过将GERBIL和STAMPA的应用进行简化,并结合强大的可视化功能来评估结果,GEVALT使遗传学领域的广大研究人员能够使用这些算法。