wangjiangyuan

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Thank you. "trust-stats.py" is a wonderful tool to calculate. This script can fully meet my needs. And I wonder to know how to get tcrLibsize, bcrLibsize. Cause I want to...

I added the scripts to trust-stats.py to calculate the counts. However I don't know how to get the library size. I even don't know what it means. ![image](https://user-images.githubusercontent.com/48577567/122145594-1d74cc80-ce88-11eb-880e-41d4d16654f2.png) ![image](https://user-images.githubusercontent.com/48577567/122145615-2796cb00-ce88-11eb-8156-27475e957806.png)

By the way, I want to know the CD3R length distribution of all tumor / normal samples. Is it okay to add counts directly or need to be standardized? ![image](https://user-images.githubusercontent.com/48577567/122151918-fe2f6c80-ce92-11eb-8b30-7a731818bd77.png)

Maybe I didn't make it clear. This table is reported in a paper, https://genomemedicine.biomedcentral.com/articles/10.1186/s13073-019-0681-3 and my purpose is to get a similar table. Because all the results are from TRUST3...

Maybe I can understand it like this, “tcrCount/tcrLibsize*1000” in TRUST3 is equal to ”TCR Count“ in TRUST4. I try to calculate the two values and found that these two values...

Actually,the tcrCount means the number of reads used for TCR. 475+691+22+26=1214 ![image](https://user-images.githubusercontent.com/48577567/122167725-edd8bb00-cead-11eb-9ea9-2b4152335c7a.png)

And I found that CPK in trust4 is Richness/Count, however you think that tcrCount/tcrLibsize * 1000 should be the value of CPK. The two CPKs may be have different meaning....

And I want to compare Richness and Count in two sample ( preferably a tumor and a normal sample) and want to find some CDR3 specifically appears in tumor tissues...