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ezecalvo authored Oct 27, 2022
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python (v3.3.2)

## Overview
In _ G-rich motifs within phosphorothioate-based antisense oligonucleotides (ASOs) drive activation of FXN expression through indirect effects_ we showed that antisense oligonucleotides (ASOs) that were carefully designed can still have off-target effects. This script scans an input fasta file and calculates a pairing score based on the provided position-specific score matrix (pssm) that can be customized according to the researchers needs.
In _ G-rich motifs within phosphorothioate-based antisense oligonucleotides (ASOs) drive activation of FXN expression through indirect effects_ we showed that antisense oligonucleotides (ASOs) that were carefully designed can still have off-target effects. This script scans an input fasta file containing multiple features and calculates a pairing score based on the provided position-specific score matrix (pssm) that can be customized according to the researchers needs.

An example of a pssm is provided [here](https://github.com/thepailab/aso_pairing_score/blob/02c6e8ae2c33e1fdacdd88d0f6d32e42662c08f4/S30.PSSM). Each column represents a base on the ASO and each row the matching nucleotide, thus, each cell is the assigned score for finding that nucleotide at a given ASO position.

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| Column Name | Description |
| ------------- | ------------- |
| chromosome | Content Cell |
| pssm_start | Content Cell |
| pssm_end | Content Cell |
| seq | Content Cell |
| pssm_score | Content Cell |
| strand | Content Cell |
| feature | name of the feature used to blast the ASO |
| pssm_start | start of the feature targeted by the ASO |
| pssm_end | end of the feature targeted by the ASO |
| seq | targeted sequence |
| pssm_score | summed pairing score between the ASO and the feature |
| strand | strand used to calculate the score |



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