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Heatmap by Falco #8
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Hello, Thank you for the kind words about falco! The legend on the right side displays the association between colors and values, which is different for each dataset, and based on the z-score distributions. The red tiles are larger values, and the blue tiles are the smaller values (to look out for). I think I do understand your concern and the issue with the heatmaps though. Whenever there is an outlier with a very low z-score, all the other tiles have their colors "bumped up" to red. I think the right solution is for there to be an absolute color distribution (say, between +10 and -10), and every tile abide to this scheme. I will implement this change in the next version of falco, and really appreaciate you bringing this up. For further reference, the FastQC documentation explains these values in detail: I hope that helps! |
Great, thanks for taking time to explain and expand on the heatmap. |
Hello,
Thanks for writing Falco. Really liked the processing speed, 515M reads in 45 min. FastQC is still processing.
The results are comparable. Also it the dynamic nature of plots is good. However, I am not sure about heatmap. In fastQC, a "cold map" is shown. It's much easier to figure out issues. In the heatmap, what is the spectrum based on? How to best interpret heatmap? Additionally, the tiles on heatmaps is having a different range from fastQC, how are tiles captured and the range is set?
I am using version 0.11.9 for fastQC and v0.2.1 of Falco (via conda).
Thanks in advance with this.
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