Input – Sequences
Paste your amino acide sequences in FASTA format such as:
where AC_1 and AC_2 are sequence IDs. Each sequence should be at least 5 a.a. long and maximally 250 a.a. or an error will be reported. Only 1-letter code for 20 standard amino acids is acceptable. If the number of sequences is large, you can upload them in a file (in FASTA format) by selecting the “Upload FASTA sequences” checkbox. Uploaded sequence files are limited to 1 MB.
Input – Prediction for Types of Cancer
Select the prediction for types of cancer that you are interested to predict:
Input – Job Description (Optional)
A short description can be supplied together with a job submission. The description will be displayed in your job list.
Input – Create Account (Necessary)
If you provide an email to your submitted job, you can easily retrieve all your past job results by giving your email. Note that we will not send you any emails about your job run.
Input – Submit
Click the submit button when ready. A job ID will be given to your submitted job; a status page will be displayed with automatically refreshing function to check for the running status of your job. As soon as the run is finished, the result will be displayed in the same window. Please bookmark the status page before leaving the window, so that you can check back the result later. Or if you have provided an email during job submission, you can enter your email at the Input page to login and retrieve all your past job results.
The prediction result of all submitted sequences will be displayed in a single page. All columns can be sorted as user’s need, and all results are downloadable in a CSV file.
The Classification tag shows 1 or 0 predicted by each selected prediction for types of cancer, where 1 for positive and 0 for negative. A classification threshold of 0.5 is used by default to color code the result table.
The Activity Prediction tag shows the predicted score returned by each method.
If you have further questions, please contact:
- Jiarui Chen
- Carter Cheong
- Edison Un (web developer)
- Shirley W. I. Siu