SWAPSC 1.0 – Sliding Windows Analysis Procedure to detect Selective Constraints in Protein-coding Genes

SWAPSC 1.0

:: DESCRIPTION

SWAPSC is the software of the Sliding Window Analysis Procedure to detect Selective Constraints in protein-coding genes. The program estimates rates of nucleotide substitutions at specific codon regions in each branch of a phylogenetic tree. The program uses several sets of simulated sequence alignments to estimate the probability of synonymous and non-synonymous nucleotide substitutions. Thereafter, a statistical analysis is conducted to determine the optimum window size to detect selective constraints. Finally, the optimum window size is slid along the real alignment and a test for significance of the estimated number of synonymous and non-synonymous nucleotide substitutions in each sliding step is conducted.

::DEVELOPER

Dr Mario Fares 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows

:: DOWNLOAD

 SWAPSC

:: MORE INFORMATION

Citation

Bioinformatics. 2004 Nov 1;20(16):2867-8. Epub 2004 May 6.
SWAPSC: sliding window analysis procedure to detect selective constraints.
Fares MA.

ZCURVE_CoV 2.1 – Recognize Protein Coding Genes in Genomes

 ZCURVE_CoV 2.1

:: DESCRIPTION

ZCURVE_CoV is a new system to recognize protein coding genes in coronavirus genomes, especially for SARS coronaviruses.

::DEVELOPER

TUBIC – the Tianjin University BioInformatics Centre.

:: REQUIREMENTS

  • Web server

:: DOWNLOAD

NO

:: MORE INFORMATION

Citation

ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes.
Hua ZG, Lin Y, Yuan YZ, Yang C, Wei W, Guo FB.
Nucleic Acids Res. 2015 May 14. pii: gkv491

F.-B., Guo, H.-Y., Ou and C.-T. Zhang (2003).
ZCURVE: a new system for recognizing protein-coding genes in bacterial and archaeal genomes.
Nucleic Acids Res. 31, 1780-1789.

F. Gao, H.-Y. Ou, L.-L. Chen, W.-X. Zheng and C.-T. Zhang* (2003).
Prediction of proteinase cleavage sites in polyproteins of coronaviruses and its applications in analyzing SARS-CoV genomes.
FEBS Letters, 553, 451-456.

Guo, F.B. and Zhang, C.T.* (2005)
ZCURVE_V: A self-training system for recognizing protein-coding genes in viral and phage genomes.
BMC Bioinformatics, 7: 9.