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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="description" content="Biomolecules Folding and Dsease - BioFolD">
<meta name="Keywords" content="BioFolD, Biomolecules, Folding, Disease, Protein,
Emidio, Capriotti, Variant, Mutation, Predict, RNA, Structure, Machine Learning,
Bioinformatics, University, Bologna, SNP, genome, interpretation">
<meta name="author" content="BioFolD - Emidio Capriotti">
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<title>BioFolD - Biomolecules Folding and Disease</title>
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<table width="100%">
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<div class='biofold' ><span style="color:#c31e27;">Bio</span><span style="color:#4689a3;">molecules</span> <span style="color:#c31e27;">Fol</span><span style="color:#4689a3;">ding and </span><span style="color:#c31e27;">D</span><span style="color:#4689a3;">isease</span></div><br>
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<div class="text">
<h4 class="title" >BioFolD</h4>
</div>
<p class="text" >
The BioFolD Unit is currently hosted at
the <a href="http://www.fabit.unibo.it/">Department of Pharmacy and Biotechnology (FaBiT)</a>, University of Bologna, Italy (see below).
The research activities of the unit focus on the analysis of the genetic variants using sequence and structure information of proteins and nucleic acids. Our research aims to develop new methods for predicting the impact of genetic variants, comparison and prediction of protein and RNA structure.
<br><br>
The final goal of our research activity is the understanding of the relationship between genomic variations and disease using large amount of data derived from high-throughput techniques.
We are interested to develop new disease-specific algorithms and new tools for the personal genomics and precision medicine.
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