APA 6th Edition Schulz, L. (1997). Sequence Analysis by Set-Spectrum Algorithms. Croatica Chemica Acta, 70 (3), 847-861. Preuzeto s https://hrcak.srce.hr/135652
MLA 8th Edition Schulz, Lech. "Sequence Analysis by Set-Spectrum Algorithms." Croatica Chemica Acta, vol. 70, br. 3, 1997, str. 847-861. https://hrcak.srce.hr/135652. Citirano 05.03.2021.
Chicago 17th Edition Schulz, Lech. "Sequence Analysis by Set-Spectrum Algorithms." Croatica Chemica Acta 70, br. 3 (1997): 847-861. https://hrcak.srce.hr/135652
Harvard Schulz, L. (1997). 'Sequence Analysis by Set-Spectrum Algorithms', Croatica Chemica Acta, 70(3), str. 847-861. Preuzeto s: https://hrcak.srce.hr/135652 (Datum pristupa: 05.03.2021.)
Vancouver Schulz L. Sequence Analysis by Set-Spectrum Algorithms. Croatica Chemica Acta [Internet]. 1997 [pristupljeno 05.03.2021.];70(3):847-861. Dostupno na: https://hrcak.srce.hr/135652
IEEE L. Schulz, "Sequence Analysis by Set-Spectrum Algorithms", Croatica Chemica Acta, vol.70, br. 3, str. 847-861, 1997. [Online]. Dostupno na: https://hrcak.srce.hr/135652. [Citirano: 05.03.2021.]
Sažetak An extended viewpoint of biochemical structure has been applied in the structural comparison beyond anticipating visualization and alignment. The self-organization features of biopolymers, prespecified by the underlying molecular components, were reflected in set- theoretical representations (called set spectra) to enrich the structure recognition. Then, the combinations of factors of similarity and dissimilarity involved in special metrics were effectively used in practical algorithms for a resultant, quantitative comparison of the varieties of properties. The nonstatistical, alternative algorithms used allow one to assess precisely the relationship between the distinguished properties of sequences and physical phenomena. In the work, the 5S rRNA families of sequences were tested with respect to their nonvisualized (in general), mathematically determined properties, and then correlations with biological systems were elicited. The method used has many advantages as an alternative approach to the research on the mechanisms of life, diseases, mutations, genetic code problems, etc.