Bi-dimensional scaling map (BDS-Map): an approach for building large genetic maps.

S Goldberg, P Ferrand, N Q Nguyen, J F Boisvieux, S Hazout
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Abstract

Motivation: 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.

Results: 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).

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双向标度图(BDS-Map):一种构建大型遗传图谱的方法。
动机:通常用于构建大型遗传图谱的方法包括将标记集划分为连锁组,并提供可通过多点连锁分析进行测试的局部顺序。为了解决这些方法的局限性,定义了一种考虑全局标记集的策略。结果:本文提出了一种新的方法,称为“二维缩放图”(BDS-Map),用于推断遗传图谱中的标记顺序和距离,该方法基于使用与标记投影到的图谱正交的额外维度。利用基于两点分析的动态力来优化标记在空间中的位置。实际数据(6号和2号染色体上分别有16个和70个标记)和模拟数据(70个标记的50个图谱)验证了该方法的有效性。
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A genetic algorithm for multiple molecular sequence alignment. Displaying the information contents of structural RNA alignments: the structure logos. Q-RT-PCR: data analysis software for measurement of gene expression by competitive RT-PCR. SS3D-P2: a three dimensional substructure search program for protein motifs based on secondary structure elements. XDOM, a graphical tool to analyse domain arrangements in any set of protein sequences.
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