Tweet
Sorry again Baoqing, I cannot answer this one. I am still working on getting the example from the publication to work, and I am trying to back everything up right now before I finish that.
-
-
Thanks a lot!
I will also keep working on mine and keep this post updated periodically.Comment
-
Ok, problem solved.
Two things need to be considered
1 when name your samples "alphabet+ numbers" always help！
2 In case of error, you need to delete cuffData.db in the folder before re-run it.Comment
-
What do you mean Baoqing when you say, "2. In case of error, you need to delete cuffData.db in the folder before re-run it."?
I didn't do #1 at first and had problems. So I re-ran the cuffdiff command with alphabet+numbers, and got the error message, "Error in .local(object, x, y, logMode, pseudocount, labels, smooth, ...) :"
What command do I use to "delete the cuffData.db"?
Thank you!Comment
-
Are you saying, delete cuffData.db in linux or R?Comment
-
Okay. Got it. I needed to delete the cuffData.db in linux before I ran the cuffdiff command again. Thank you.Comment
-
sorry for the late response. can you at least load the library?
i found that if you had tried to read your data before the library properly loaded, the generated cuffData.db is going to intervene your next new run. you can just going into the directory and delete it, i was using R in my ubuntu.Comment
-
During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.
Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...09-09-2024, 10:59 AM -
The first FDA-approved CRISPR-based therapy marked the transition of therapeutic gene editing from a dream to reality1. CRISPR technologies have streamlined gene editing, and CRISPR screens have become an important approach for identifying genes involved in disease processes2. This technique introduces targeted mutations across numerous genes, enabling large-scale identification of gene functions, interactions, and pathways3. Identifying the full range...08-27-2024, 04:44 AM
Comment