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RNA Secondary Structures
No full textA topological RNA structure is derived from a diagram, and its shape is obtained by collapsing the stacks of the structure into single arcs and by removing any arcs of length one. Shapes contain key topological information, and for a fixed topological genus there exist only finitely many such shapes. We shall express topological RNA structures as unicellular maps, that is, graphs together with a cyclic ordering of their half-edges. In this chapter, we prove that a bijection shapes topological RNA structures. We furthermore derive a linear time algorithm generating shapes of fixed topological genera. We derive explicit expressions for the coefficients the generating polynomial these shapes and the generating function RNA structures genus g. Furthermore, we outline how shapes can be used to extract essential information from RNA structure databases.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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