Goldberg S, Ferrand P, Nguyen N Q, Boisvieux J F, Hazout S
Centre de Bioinformatique, INSERM U 155, Paris, France.
Comput Appl Biosci. 1997 Oct;13(5):497-508. doi: 10.1093/bioinformatics/13.5.497.
The approaches usually used for building large genetic maps consist of dividing the marker set into linkage groups and provide local orders that can be tested by multi-point linkage analysis. To deal with the limitations of these approaches, a strategy taking the marker set into account globally is defined.
The paper presents a new approach called 'Bi-Dimensional Scaling Map (BDS-Map) for inferring marker orders and distances in genetic maps based on the use of an additional dimension orthogonal to the map into which markers are projected. Dynamical forces based on a two-point analysis are applied to tend to optimize the marker locations in space. The efficiency of the approach is exemplified on real data (16 and 70 markers on chromosomes 6 and 2, respectively) and simulated data (50 maps of 70 markers).
构建大型遗传图谱通常采用的方法是将标记集划分为连锁群，并提供可通过多点连锁分析进行检验的局部排序。为了应对这些方法的局限性，定义了一种全局考虑标记集的策略。
本文提出了一种名为“二维缩放图谱（BDS - 图谱）”的新方法，用于基于将标记投影到与图谱正交的附加维度上推断遗传图谱中的标记顺序和距离。基于两点分析的动力学力被应用于倾向于优化标记在空间中的位置。该方法的效率在真实数据（分别在6号和2号染色体上有16个和70个标记）和模拟数据（50个包含70个标记的图谱）上得到了例证。
