<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Software on Maragkakis Lab</title><link>http://maragkakislab.com/tags/software/</link><description>Recent content in Software on Maragkakis Lab</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 02 Oct 2021 00:00:00 +0000</lastBuildDate><atom:link href="http://maragkakislab.com/tags/software/index.xml" rel="self" type="application/rss+xml"/><item><title>SamQL: A Structured Query Language and filtering tool for the SAM/BAM file format</title><link>http://maragkakislab.com/publications/2021-samql/</link><pubDate>Sat, 02 Oct 2021 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2021-samql/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;SamQL implements a SQL-like query language for filtering and extracting reads from SAM/BAM alignment files based on arbitrary combinations of alignment attributes. The tool enables complex queries that are not possible with existing SAM/BAM filtering utilities, facilitating flexible downstream analysis of sequencing data.&lt;/p&gt;</description></item><item><title>bíogo: a simple high-performance bioinformatics toolkit for the Go language</title><link>http://maragkakislab.com/publications/2017-biogo/</link><pubDate>Sat, 18 Feb 2017 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2017-biogo/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;bíogo is a bioinformatics library written in the Go programming language, providing high-performance tools for common genomic data processing tasks. The toolkit offers a clean API for sequence manipulation, alignment, and genomic data parsing with the performance characteristics of a compiled language.&lt;/p&gt;</description></item><item><title>CLIPSeqTools — a novel bioinformatics CLIP-seq analysis suite</title><link>http://maragkakislab.com/publications/2016-clipseqtools/</link><pubDate>Fri, 01 Jan 2016 00:00:00 +0000</pubDate><guid>http://maragkakislab.com/publications/2016-clipseqtools/</guid><description>&lt;h2 id="summary"&gt;Summary&lt;/h2&gt;
&lt;p&gt;CLIPSeqTools is a modular bioinformatics pipeline for the analysis of CLIP-seq data, providing tools for read processing, peak calling, motif analysis, and visualization. The suite enables comprehensive characterization of RNA-binding protein interaction sites across the transcriptome.&lt;/p&gt;</description></item></channel></rss>