As Topic Maps allow a structural representation of knowledge, this structure often needs to be visually presented to end-users. Issues, often contradictory, such as representation and navigation re-

MOTIVATION Genetic interactions between genes reflect functional relationships caused by a wide range of molecular mechanisms. Large-scale genetic interaction assays lead to a wealth of information about the functional relations between genes. However, the vast number of observed interactions, along with experimental noise, makes the interpretation of such assays a major challenge. RESULTS He...

Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and since then successfully applied to numerous domains, such as engineering, medicine, control, and political affairs. Their popularity stems from simplicity and transparency of the underlying model.At the same time FCMs a...

In this contribution, we address exploratory search where a user is faced with an information need concerning a domain he lacks specific knowledge. Based on the work of Delbru et al., which introduced metrics to measure the navigational quality of automatically selected facets for RDF data, we apply those findings to the semantically richer TMDM and show how exploratory search functionality can...

We present CART HAGENE a new piece of software for genetic mapping. Compared to existing genetic mapping softwares, CART HAGENE has both strengths and weaknesses. The most important weakness is certainly its actual limitation to backcross-like pedigree. However, when CART HAGENE applies, it is able to order markers and produce maximum multipoint likelihood marker maps with a large number of mar...

Fuzzy Cognitive Maps (FCMs), which were introduced by Bart Kosko in 1986, are a powerful modeling technique for dynamic systems. Recently introduced automated learning method, based on real-coded genetic algorithm (RCGA), allows for establishing high-quality FCMs from historical data. The current bottleneck of this method is its scalability, which originates from large continuous search space a...

Human genetic linkage maps are based on rates of recombination across the genome. These rates in humans vary by the sex of the parent from whom alleles are inherited, by chromosomal position, and by genomic features, such as GC content and repeat density. We have examined--for the first time, to our knowledge--racial/ethnic differences in genetic maps of humans. We constructed genetic maps base...

Recombinant inbred lines (RILs) derived from bi-parental populations are stable genetic resources, which are widely used for constructing genetic linkage maps. These genetic maps are essential for QTL mapping and can aid contig and scaffold anchoring in the final stages of genome assembly. In this study, two Lotus sp. RIL populations, Lotus japonicus MG-20 × Gifu and Gifu × L. burttii, were cha...

Construction of dense genetic linkage maps is hampered, in practice, by the occurrence of laboratory typing errors. Even relatively low error rates cause substantial map expansion and interfere with the determination of correct genetic order. Here, we describe a systematic method for overcoming these difficulties, based on incorporating the possibility of error into the usual likelihood model f...