JOINMAP is a software for the calculation of genetic linkage maps in experimental populations of diploid species. JoinMap provides high quality tools that allow detailed study of the experimental data and the generation of publication-ready map charts. The intuitive MS-Windows ? user interface of JoinMap invites to a better exploration of the data. For instance, you can perform several diagnostical tests, both before and after the actual map calculation, and you can remove potentially erroneous loci and individuals from the map calculations by a simple mouse-click.
MapDraw contens a Excel macro to draw genetic linkage maps based on given linkage data. MAPMAKER is one of the most widely used computer software package for constructing genetic linkage maps.However,the PC version,MAPMAKER 3.0 for PC,could not draw the genetic linkage maps that its Macintosh version,MAPMAKER 3.0 for Macintosh,was able to do.Especially in recent years,Macintosh computer is much less popular than PC.Most of the geneticists use PC to analyze their genetic linkage data.So a new computer software to draw the same genetic linkage maps on PC as the MAPMAKER for Macintosh to do on Macintosh has been crying for.Microsoft Excel,one component of Microsoft Office package,is one of the most popular software in laboratory data processing.Microsoft Visual Basic for Applications (VBA) is one of the most powerful functions of Microsoft Excel.Using this program language,we can take creative control of Excel,including genetic linkage map construction,automatic data processing and more.In this paper,a Microsoft Excel macro called MapDraw is constructed to draw genetic linkage maps on PC computer based on given genetic linkage data.Use this software,you can freely construct beautiful genetic linkage map in Excel and freely edit and copy it to Word or other application.
AntMap is a software for constructing genetic linkage maps using an ant colony optimization algorithm. AntMap seeks the linear order of loci that minimizes the sum of adjacent recombination fractions or that maximizes the log likelihood of locus order. Analyses based on simulated data sets indicated that our algorithm displayed a high efficiency level. The high performance of the algorithm enabled to save time and labor, and also to validate an estimated order by bootstrap tests. AntMap should enable to construct high-throughput systems for linkage mapping.
MSTMap is a software tool that is capable of constructing genetic linkage maps efficiently and accurately. It can handle various mapping populations including BC1, DH, Hap, and RIL, among others. The tool builds the genetic linkage map by first constructing a Minimum Spanning Tree (MST), and hence the name MSTMap. The algorithm implemented in MSTMap is very efficient and can handle ultra-dense maps of up to 10,000~100,000 markers. According to our experimental studies, when the data quality is high, the accuracies of the maps produced by our tool are as good as those by the best tools available in the literature. However, when the data are noisy, the maps generated by our algorithm are significantly better.
