From a93f39e54cec2abba933369ef4a620a0ef8ebcbb Mon Sep 17 00:00:00 2001 From: HarshitGupta11 <50410275+HarshitGupta11@users.noreply.github.com> Date: Mon, 12 Aug 2019 18:09:58 +0530 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a199c17..b42d1e0 100644 --- a/README.md +++ b/README.md @@ -89,8 +89,9 @@ Run:
**Now you have all the resources required to Make predictions on the required file.**
Copy the file you want to make predictions on from the directory that you created earlier to the code directory and Run:
-`python prediction_pfam.py file_name_with_extension model_name number_of_threads start end name domtblout_file_name`.
+`python prediction_pfam.py file_name_with_extension model_name no_of_models number_of_threads start end name domtblout_file_name weights`.
where:
`start end`:the locations from which you want to make predictions in the file.
`name`:Since you can run multiple predcitions at the same time this serves as a unique identifier for the temporary files being created.
`domtblout_file_name`:It is the name of the file that you get after running the hmmer scan on the fast-a files.
+`weights`:`e` if you want to give equal weight to all the models, `w` followed by the same number of float literals as number of models parameter to assign specific weights.