Literature DB >> 17955360

Evaluation of FORS-D analysis: a comparison with the statistically significant stem-loop potential.

Chi-Yu Zhang1, Ji-Fu Wei, Jian-Sheng Wu, Wen-Rong Xu, Xiao Sun, Shao-Heng He.   

Abstract

The stem-loop potential of a nucleic acid segment (expressed as a FONS value), decomposes into base composition-dependent and base order-dependent components. The latter, expressed as a FORS-D value, is derived by subtracting the value of the base composition-dependent component (FORS-M) from the FONS value. FORS-D analysis is the use of FORS-D values to estimate the potential of local base order to contribute to a stem-loop structure, and it has been used to investigate the relationship between stem-loop structure and other selective pressures on genomes. In the present study, we evaluated the reliability of FORS-D analysis by comparing it with statistically significant stem-loop potential, another robust method developed by Le and Maizel for examining stem-loop structure. We found that FORS-M values calculated using 10 randomized sequences are as reliable as those calculated using 100 randomized sequences. The resulting FORS-D values have a similar trend and distribution as statistically significant stem-loop potential, implying that FORS-D analysis is as reliable as the latter in measuring the distribution of base order-dependent stem-loop potential. Since the calculation of the FORS-M values is time consuming, the integrated program Bodslp developed by us will become a convenient tool for large-scale FORS-D analysis. The results also suggest that for some purposes the online program SigStb developed by Le and Maizel may be used as an alternative tool for FORS-D analysis.

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Year:  2007        PMID: 17955360     DOI: 10.1007/s10528-007-9126-6

Source DB:  PubMed          Journal:  Biochem Genet        ISSN: 0006-2928            Impact factor:   1.890


  2 in total

1.  FORS-D Analysis in P. falciparum can Differentiate Classes of Genes Under Selection.

Authors:  Atish Kathpal; Balakota Reddy Patakottu; Swati Patankar
Journal:  Evol Bioinform Online       Date:  2011-03-20       Impact factor: 1.625

Review 2.  Neutralism versus selectionism: Chargaff's second parity rule, revisited.

Authors:  Donald R Forsdyke
Journal:  Genetica       Date:  2021-04-20       Impact factor: 1.633

  2 in total

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