Method for predicting microsatellite PCR product specificity based on genome information
A genome and microsatellite technology, applied in the field of bioinformatics, can solve the problem of the number of unique PCR amplification products of the 3' terminal base of microsatellite primers, etc.
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Embodiment 1
[0024] according to figure 1 , 2 As shown, the present embodiment provides a method for predicting the specificity of microsatellite PCR products based on genomic information, comprising the following steps:
[0025] Step 1: Store the sequence of the genome in a separate dictionary, where the key of the dictionary is the number of the chromosome, and the value of the dictionary is the sequence of the chromosome;
[0026] Step 2: Define the function method of the reverse complementary sequence, first reverse the sequence, then convert all the sequences to uppercase, and then convert the base "A" to lowercase "t", base " T" is converted to lowercase "a", base "G" is converted to lowercase "c", base "C" is converted to lowercase "g", and finally all lowercase sequences are capitalized;
[0027] Step 3: Define the matching mode of the upstream and downstream primers. There are 4 forms in total when the primers match the genome;
[0028] Step 4: According to the set parameters a...
Embodiment 2
[0034] The present embodiment provides a program for predicting the specificity of microsatellite PCR products based on genome information, and the operation method of the program is as follows:
[0035] Step 1: Prepare the corresponding reference genome sequence and primer sequence;
[0036] Step 2: Set parameter 1: the ID of the primer (can be defined manually, the default is Primer);
[0037] Step 3: Set parameter 2: the number of matching bases at the 3' end of the primer (generally set to 7-15, the default is 10);
[0038] Step 4: Setting parameter 3: the maximum length of the simulated PCR product (set according to the target band of amplification, the default is 3000);
[0039] Step 5: Set the output file name 4: Set it according to user needs;
[0040] Step 6: The running command is: python SPE.V1.py-f[the path where the reference genome sequence is located]-F[upstream primer sequence]-R[downstream primer sequence]-P[parameter 1]-c[parameter 2]-l [Parameter 3] -o[the ...
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