Last updated:
0 purchases
PCRinSilico 1.1.3
README
In-Silico PCR tool
This script takes a text file with primer sequence (one per line,optinal name in column 2, tab-seperated) and a reference FASTA file as input and identifies primer pairs which amplify a DNA sequence of length less than or equal to a user-specified maximum, at a given Tm and salt concentration. The script outputs the sequences of the primers, the portion of the primer that binds, the number of mismatches, as well as the start and end coordinates of the amplified sequence. It also outputs the Tm of the amplicons and the Tm of amplicon pairs.
Dependencies
Python 3
Biopython
pandas
BLAST+
These may be installed by running
pip install PCRinSilico
Usage
PCRinSilico [options]
--primer_seq [path to primer sequence file, one primer per line]
--ref_fasta_file [path to reference FASTA file]
Options
Argument
Description
Default
--annealing_temp
Annealing temperature (in Celsius).
60.0
--salt_concentration
Salt concentration (in nM, Ignored if Q5 True).
50
--max_amplicon_len
Maximum length of PCR products in nucleotides.
2000
--req_five
Require the 5' end of the primer to bind?
True
--out_file
Output file name.
"in_silico_PCR"
--Q5
Use Q5 approximation settings for Tm calculations?
"True"
Example
PCRinSilico \
--primer_seq ./example/primers.txt \
--ref_fasta_file ./example/ref.fasta
in_silico_PCR.tsv
qseq1
qseq2_input
qstart1
qend1
direction1
mismatch2
qseq2
qseq1_input
qstart2
qend2
direction2
mismatch1
binding_pos_diff
reference
ref_region
kkd_F_2
gaacaccggcagtggttc
1
18
+
0
sge_R
ctgccgcagcggt
1
13
-
0
300
example
772, 1072
kkd_R
accgagctgccggacggcac
1
20
+
0
sge_R
ctgccgcagcggt
1
13
-
0
318
example
772, 1090
in_silico_PCR_amplicon_interactions.tsv
amplicon1_PF
amplicon1_PR
amplicon2_PF
amplicon2_PR
tm
kkd_F_2
sge_R
kkd_R
sge_R
90.22726832
in_silico_PCR_primer_dimears.tsv
Sequence1
Sequence2
MeltingTemp
sge_F
sge_R
75
sge_F
kkd_F
72
sge_F
kkd_F_2
73
sge_F
kkd_R
79
sge_R
kkd_F
74
sge_R
kkd_F_2
74
sge_R
kkd_R
80
kkd_F
kkd_F_2
72
kkd_F
kkd_R
78
kkd_F_2
kkd_R
78
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
There are no reviews.