Hi,
I don't quite understand the description of XPCLR selection candidate genes in your paper, Can you tell me if I'm right to understand this?
"Mean XP-CLR likelihood scores were calculated within nonoverlapping 10-kb sliding windows. Adjacent windows with an average
score in the top 20% of the genome-wide average were merged and were further combined if two windows were separated by only one window with a lower score. The maximum window-wise XP-CLR scores were assigned to the merged region as the region-wise score and those with region-wise scores in the top 10% were considered as candidate selective regions. "
(1) Non-overlapping 10KB sliding window, because the grid is 2KB, that is, every 5 rows, divided into a common window, calculate the average value of XPCLR; (2) Select the XPCLR score of the top 20% (windows) ; (3) Determine whether the TOP20% window meets the requirements of window 1 large, window 2 small, window 3 large into one window, and take the largest value as the value of this window; Otherwise, belongs to the top 20% is a window; (4) Finally, select the top 10% windows as the candidate area.
Thank you!
Best wishes
Hi,
I don't quite understand the description of XPCLR selection candidate genes in your paper, Can you tell me if I'm right to understand this?
"Mean XP-CLR likelihood scores were calculated within nonoverlapping 10-kb sliding windows. Adjacent windows with an average
score in the top 20% of the genome-wide average were merged and were further combined if two windows were separated by only one window with a lower score. The maximum window-wise XP-CLR scores were assigned to the merged region as the region-wise score and those with region-wise scores in the top 10% were considered as candidate selective regions. "
(1) Non-overlapping 10KB sliding window, because the grid is 2KB, that is, every 5 rows, divided into a common window, calculate the average value of XPCLR; (2) Select the XPCLR score of the top 20% (windows) ; (3) Determine whether the TOP20% window meets the requirements of window 1 large, window 2 small, window 3 large into one window, and take the largest value as the value of this window; Otherwise, belongs to the top 20% is a window; (4) Finally, select the top 10% windows as the candidate area.
Thank you!
Best wishes