A dictionary for genomes

Building a dictionary for genomes: identification of presumptive regulatory sites by statistical analysis.

The availability of complete genome sequences and mRNA expression data for all genes creates new opportunities and challenges for identifying DNA sequence motifs that control gene expression. An algorithm, "MobyDick," is presented that decomposes a set of DNA sequences into the most probable dictionary of motifs or words. This method is applicable to any set of DNA sequences: for example, all u...

A New Dictionary Construction Method in Sparse Representation Techniques for Target Detection in Hyperspectral Imagery

Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...

Dictionary of Abstract and Concrete Words of the Russian Language: A Methodology for Creation and Application

The paper describes the first stage of a project on creating an electronic dictionary with numerical estimates of the degree of abstractness and concreteness of Russian words. Our approach is to integrate data obtained from several different sources: text corpora, psycholinguistic experiments, published dictionaries, markers of abstractness (certain suffixes) and a translation of a similar dict...

Jaslo, a Japanese-slovene Learners' Dictionary: Methods for Dictionary Enhancement

The paper presents our experiences in producing a hypertext learners’ Japanese-Slovene dictionary jaSlo, which currently contains over 10,000 entries. The paper discusses the conversion of the dictionary from the legacy encoding, which consisted of many separate files in a mixture of different tabular formats, into to a standardised XML format. The conversion consisted of uptranslation from the...

A New Dictionary for Nurses