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License: Other
HLA-I ligand predictor
License: Other
Is there a way to output the file to csv or other formats that are easier to work with?
Hello, I tried to run MixMHCpred-2.2 using linux but my output is empty. I tried using a simple list of only peptides, as well as the list with header but it still doesn't work.
test.txt
when I ran MixMHCpred according to the README file, the following error happens:
/ST_PRESICION/huweipeng/software/MixMHCpred-master/lib//MixMHCpred.x: 3: /ST_PRESICION/huweipeng/software/MixMHCpred-master/lib//MixMHCpred.x: Syntax error: Unterminated quoted string
Hi,
I tried to run MixMHCpred but the error is 'cannot execute binary file'. Can you let me know how can I solve the problem ?
Thanks
the header for the fourth column in the output file says %Rank_bestAllele. However, it does not match the results from latter columns.
For example, in the 33rd row of out_compare.txt file, the best allele is A0101, the 4th column is 1% but the rank for A0101 (6th column) is actually 0.3%.
May I ask why is that?
Hi,
would it be possible to supply a conda package?
Hi,
I'm getting a negative score and %rank for some of my peptides, I'm not sure if this is normal?
What is the meaning of the numbers in line six in the PWM files, e.g. "1.00000 2066 1" in "lib/pwm/class1_9/A0101_1.txt"? And are these numbers relevant for the software if I want to use my own PWMs?
Hi, I recently read your team's latest publication, "MixMHCpred2.2 & PRIME2.0 (Cell Systems 2023)", and noticed that you have organized and made available a test dataset. I reviewed the contents of Table S3: List of peptides including both HLA-I ligands (i.e., positives) and random peptides (i.e., negatives) used to benchmark MixMHCpred2.2, related to Figure 2, available at https://data.mendeley.com/datasets/2kmmjp4tmm/1.
This table states that the HLA-I ligands in the first ten datasets are sourced from Gfeller et al., while those in the last eleven datasets are from Pyke et al. However, I noticed that only the names of each sub-dataset, such as 3779-AMM_I, are provided. Could you please provide information on what alleles each of these 21 datasets corresponds to?
Looking forward to your response :)
Does a higher score indicate a stronger affinity for the prediction, and a negative score means that the prediction result is not combined?
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