# PRESCOTT: Population awaRe Epistatic and StruCtural mOdel of muTational effecTs
# A QUICK INTRODUCTION TO PRESCOTT (Population awaRe Epistatic and StruCtural mOdel of muTational effecTs)
## Introduction
PRESCOTT is a package predicting mutational effects in a protein based on population, evolutionary and structural information.
PRESCOTT is a package predicting mutational effects in a protein based on population, evolutionary and structural information.
It is made up of two main programs: escott and prescott.
It is made up of two main programs: escott and prescott.
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@@ -75,5 +74,6 @@ Please note that the example input files for prescott are in the data directory
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@@ -75,5 +74,6 @@ Please note that the example input files for prescott are in the data directory
PRESCOTT is implemented in Python 3 and R. It has been tested only on Linux. Since PRESCOTT has many dependencies, we recommend using our web site or our docker image. If you are a determined user, you can find the steps required to install it from the source in the following link (or in the docs folder of this repository):
PRESCOTT is implemented in Python 3 and R. It has been tested only on Linux. Since PRESCOTT has many dependencies, we recommend using our web site or our docker image. If you are a determined user, you can find the steps required to install it from the source in the following link (or in the docs folder of this repository):
# Cite
# Cite
Coming soon...
Mustafa Tekpinar, Thomas Henry, Alessandra Carbone. PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect.
<liclass="toctree-l1"><aclass="reference internal"href="introduction.html#prescott-population-aware-epistatic-and-structural-model-of-mutational-effects">PRESCOTT: Population awaRe Epistatic and StruCtural mOdel of muTational effecTs</a></li>
<liclass="toctree-l1"><aclass="reference internal"href="docker.html">Using ESCOTT via Docker</a></li>
<liclass="toctree-l1"><aclass="reference internal"href="docker.html">Using ESCOTT via Docker</a></li>
<liclass="toctree-l1 current"><aclass="current reference internal"href="#">Analyzing and Modifying the ESCOTT Output</a><ul>
<liclass="toctree-l1 current"><aclass="current reference internal"href="#">Analyzing and Modifying the ESCOTT Output</a><ul>
<liclass="toctree-l2"><aclass="reference internal"href="#raw-escott-scores-and-their-interpretation">Raw ESCOTT Scores and Their Interpretation</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="#raw-escott-scores-and-their-interpretation">Raw ESCOTT Scores and Their Interpretation</a></li>
<li><p>a structure file in PDB format (optional but highly recommended).</p></li>
<li><p>a structure file in PDB format (optional but highly recommended).</p></li>
</ul>
</ul>
<p>One of the fastest ways to obtain both input MSA and a PDB file is to
<p>One of the fastest ways to obtain both input MSA and a PDB file is to
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@@ -189,7 +188,7 @@ in the docs folder of this repository):</p>
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@@ -189,7 +188,7 @@ in the docs folder of this repository):</p>
</section>
</section>
<sectionid="citation">
<sectionid="citation">
<h2>Citation<aclass="headerlink"href="#citation"title="Permalink to this heading"></a></h2>
<h2>Citation<aclass="headerlink"href="#citation"title="Permalink to this heading"></a></h2>
<p>Coming soon…</p>
<p>Mustafa Tekpinar, Thomas Henry, Alessandra Carbone. PRESCOTT: a population aware, epistatic and structural model accurately predicts missense effect.</p>
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