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  <h1>
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  	BOLD </h1></i>
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	 <span class="post-date">
	   
	   July 
	   19th,
	   
	   2014
	 </span>
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	  <p>This is an university project develop for the course <a href="http://www.dia.uniroma3.it/~torlone/bigdata/">Big Data</a>. The purpose of this project is to perform an analysis of DNA subsequences samples, named barcode, with the aim to classify and predict the species bolonging from a specific genomic sequence. In particular we conducted an analysis based on the concept of multi-locus, comparating the results with the past mono-locus research.</p>

<p>The work was based on the data presents in the <a href="http://www.boldsystems.org/">BOLD database</a>. Specifically we considered species related to the family of plants and fungi.</p>

<p>The tool was realized by the combination of several components, develop by Bash Scripting and Python languages, along with a map-reduce stage.
To use it, put the data in a foldier named "data" and start "fastaSplitter.sh" from a bash terminal.</p>

<p>More detailed information about the project can be found on this <a href="/assets/pdf/relazione_bold.pdf">paper</a> (located in italian)</p>

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			<li><a href="http://v1ll0.github.io">
				<span>Valerio Cestarelli</span>
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					<span>see on github</span>
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					machine learning
					,
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					bold
					,
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					big data
					,
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					map-reduce
					,
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					python
					,
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					bash scripting
					
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