QuantStudio Absolute Q Digital PCR

Scripts
Fluoresence analysis »
Codon analysis »

Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
   • Installation
3. Fluoresence Analysis
4. Codon Analysis
5. Roadmap
6. Contributors

About The Project

This repository contains files associated with projects involving the QuantStudio Absolute Q Digital PCR. Current efforts involve detection of SARS-CoV-2 spike mutations that enable mAb resistance.

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Getting Started

Scripts are comatable with Python 3.9.14+, Pandas 1.5.1+, Biopython 1.79+.

Prerequisites

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Installation

conda install python

conda install pandas

conda install -c conda-forge biopython

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Fluoresence Analysis

File name formating should be consistant with the sample csv files. (eg. BT01_143_01_01_F.csv) Information separated by underscore include test number (BT01), probe locaiton (143), batch number (01), sample number (01) and specific probe (F) ID. All formatted csv files should reside in the same directory before running script.

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Codon Analysis

Printed output can be saved using CL command $ script.py > output.txt. Unhash df output for troubleshooting.

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Roadmap

• Continued development of codon analysis script.

Open issues

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Contributors

Contributors »

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