Hi James,

The problem seems to have come from using the default "all tables" when running the tool. The current assumption is that you will need to re-run all in this set, not just the ones you highlight with the odd calculations. For now, just run in smaller groups to obtain the correct results.


We will be working out how to best address the "all data" query going forward. Running through every human track at UCSC (which includes ENCODE, for certain genomes, such as the one you are using) is a vast amount of data to pull and parse.

Thank you for sharing your history and sorry for the inconvenience,

Jen
Galaxy team

On 8/14/13 8:13 PM, James Wagner wrote:
Hello, I tried using this tool today after inputting a bed file containing 1509 intervals of 100 bp each, spread across all 22 autosomes.

First of all, despite the fact that my input file contained intervals for 22 chromosomes, the value of "allCoverage" seemed to be the same as the value of the coverage of that table only for chr1. I was not really sure about the tableRegionCoverage column, as for most of the autosomes I had input data spread throughout the chromsome with points a few Mb away from either end, but I was getting a value in this column only about 1/3 of what I get when downloading the data directly from UCSC and summing the interval sizes.

There were also many cases where nrCoverage > allCoverage, even when I reduced each input genomic interval to only 1 bp to avoid redundancy in the input file. Based on these descriptions of the columns I would expect allCoverage >= nrCoverage at all times.

Just wondering if you could clarify what these columns are supposed to mean or how to reconcile these apparent inconsistencies.


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