<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Compression | Ioannis Mouratidis</title><link>https://ioannis-mouratidis.github.io/tags/Compression/</link><atom:link href="https://ioannis-mouratidis.github.io/tags/Compression/index.xml" rel="self" type="application/rss+xml"/><description>Compression</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><image><url>https://ioannis-mouratidis.github.io/media/icon_hu_899445b689d8f445.png</url><title>Compression</title><link>https://ioannis-mouratidis.github.io/tags/Compression/</link></image><item><title>Genomic Data Compression Tool</title><link>https://ioannis-mouratidis.github.io/projects/compression-tool/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://ioannis-mouratidis.github.io/projects/compression-tool/</guid><description>&lt;h2 id="overview"&gt;Overview&lt;/h2&gt;
&lt;p&gt;A novel compression tool developed in C++ and Python specifically optimized for multiple genomic file formats. This tool significantly reduces storage requirements while dramatically improving compression speed compared to existing solutions.&lt;/p&gt;
&lt;h2 id="performance"&gt;Performance&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;10-20% smaller file sizes&lt;/strong&gt; compared to standard genomic compression tools&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;50-70% faster compression times&lt;/strong&gt; enabling real-time analysis&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Multiple format support&lt;/strong&gt;: Handles various genomic data formats&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Lossless compression&lt;/strong&gt;: Maintains data integrity for scientific applications&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="technical-approach"&gt;Technical Approach&lt;/h2&gt;
&lt;p&gt;The tool leverages domain-specific knowledge about genomic data structure to achieve superior compression ratios and speeds. Implementation in C++ provides low-level performance optimization while Python bindings enable easy integration into bioinformatics pipelines.&lt;/p&gt;
&lt;h2 id="impact"&gt;Impact&lt;/h2&gt;
&lt;p&gt;This compression tool enables:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Reduced storage costs for large-scale genomic projects&lt;/li&gt;
&lt;li&gt;Faster data transfer and backup operations&lt;/li&gt;
&lt;li&gt;Real-time compression for sequencing pipelines&lt;/li&gt;
&lt;li&gt;More efficient cloud-based genomic analysis&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="applications"&gt;Applications&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;Large-scale sequencing projects&lt;/li&gt;
&lt;li&gt;Genomic data archiving&lt;/li&gt;
&lt;li&gt;Cloud-based bioinformatics platforms&lt;/li&gt;
&lt;li&gt;Real-time sequencing data processing&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>