Analyze GC skew to identify replication origins and termini in bacterial genomes using sliding window and cumulative analysis
GC skew is a measure of DNA strand asymmetry calculated as (G-C)/(G+C), where G and C are the frequencies of guanine and cytosine. It reveals compositional bias between leading and lagging strands in bacterial genomes, helping identify replication origins (minimum cumulative skew) and termini (maximum cumulative skew).
This tool is useful when you need to:
Circular bacterial genome segment:
GCGCGCGCGCATATATATAGCGCGCGCGC...Try with the Example button for a demonstration sequence.
GC skew analysis results:
Position 1000: GC Skew = 0.125
Position 2000: GC Skew = -0.087
Cumulative minimum at: 45000 bpQ: What do the cumulative skew extrema indicate?
A: Minimum indicates likely replication origin; maximum indicates terminus.
Q: What window size should I use?
A: For bacterial genomes, 10kb windows with 1kb steps work well. Adjust based on genome size.