KaKs_Calculator

KaKs_Calculator 3.0 calculates selective pressure on coding and non-coding genomic sequences by estimating substitution rate ratios analogous to nonsynonymous/synonymous rates for coding regions and by comparing non-coding nucleotide substitution rates to synonymous substitution rates in adjacent coding regions.


Key Features:

  • Selective Pressure Calculation: Quantifies selective pressure for coding sequences using a ratio analogous to nonsynonymous/synonymous substitution rates and for non-coding sequences using the ratio of non-coding nucleotide substitution rates relative to synonymous rates in adjacent coding regions.
  • Empirical Validation: Validated with empirical data for detecting both the strength and the mode of selection acting on molecular sequences.
  • Genome-wide Analysis: Performs genome-wide scans of substitution rate ratios to identify potentially functional elements across coding and non-coding regions.

Scientific Applications:

  • Investigating selective pressures: Quantifies selective constraints across entire genomes including both coding and non-coding regions.
  • Identifying functional non-coding elements: Detects constrained non-coding regions by comparing non-coding substitution rates to synonymous rates in adjacent coding sequences.
  • Comparative evolutionary studies: Enables comparison of selective forces shaping genomes between species or genomic regions.

Methodology:

Calculates substitution rate ratios (analogous to dN/dS for coding regions) and computes ratios of non-coding nucleotide substitution rates relative to synonymous substitution rates in adjacent coding regions to infer selective pressures.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Windows, Linux
Programming Languages:
C++
Added:
5/24/2022
Last Updated:
11/24/2024

Operations

Publications

Zhang Z. KaKs_Calculator 3.0: Calculating Selective Pressure on Coding and Non-Coding Sequences. Genomics, Proteomics & Bioinformatics. 2022;20(3):536-540. doi:10.1016/j.gpb.2021.12.002. PMID:34990803. PMCID:PMC9801026.

PMID: 34990803
PMCID: PMC9801026
Funding: - National Natural Science Foundation of China: 31871328, 32030021 - National Key R&D Program of China: 2017YFC0907502 - International Partnership Program of the Chinese Academy of Sciences: 153F11KYSB20160008 - Chinese Academy of Sciences: XDA19050302 - National Key Research and Development Program of China: 153F11KYSB20160008, 2017YFC0907502