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DTSTART:20380119T061407
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DTSTAMP:20250408T184151Z
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DTSTART;TZID=Asia/Kuwait:20250408T193000
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DESCRIPTION:🚀 Welcome to the Bioinformatics Series! 🧬💻\n\nHey futu
 re bio-coders! 🎉 Get ready to explore how biology meets technology in a
 n exciting\, hands-on way! 🧑‍🔬✨\n\nEver wondered how scientists 
 decode DNA 🧬\, track viruses 🦠\, or develop new medicines 💊? They
  use code! By the end of this course\, you’ll be writing Python programs
  to analyze genetic data—no prior coding experience needed! 🐍💡\nWh
 at to Expect?\n\nThis 4-part series is designed for beginners! In Session 
 1\, you’ll dive into Python basics and bioinformatics by:\n✅ Reading D
 NA sequences from a file 📄\n✅ Counting nucleotides (A\, T\, C\, G) 
 🔢\n✅ Converting DNA to RNA 🎯\n\nBy the end\, you’ll have your fi
 rst bioinformatics script running!\n\n📢 Presented by IEEE Student Branc
 h ULFS2 and led by Elie Dina\, PhD student in AI &amp; Data Science.\n\n📅 D
 ate: Tuesday\, April 8\, 2025\n⏰ Time: 7:30 PM (1h30)\n📍 Online via G
 oogle Meet\n\nJoin us and code your way into bioinformatics! 🚀\n#IEEEUL
 FS2\n\nSpeaker(s): Mr Elie Dina\, \n\nAgenda: \n[]In the first session\, w
 e’ll start with the absolute basics of Python 🐍—no complicated stuf
 f\, just the essentials to get you started. Then\, we’ll jump right into
  bioinformatics by working with real DNA sequences! 🧬 You’ll learn ho
 w to:\n✅ Read DNA sequences from a file 📄\n✅ Count how many times A
 \, T\, C\, and G appear 🔢\n✅ Convert DNA to RNA in just a few lines o
 f code 🎯\n\nVirtual: https://events.vtools.ieee.org/m/479168
LOCATION:Virtual: https://events.vtools.ieee.org/m/479168
ORGANIZER:ieeeulfsii@gmail.com
SEQUENCE:27
SUMMARY:BioInformatics Series - Session 1
URL;VALUE=URI:https://events.vtools.ieee.org/m/479168
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;display: block\; margin-left: 
 auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui
 /media/display/d5101915-9185-41dd-89fb-890d44d24b6e&quot; width=&quot;365&quot; height=&quot;4
 56&quot;&gt;&lt;/p&gt;\n&lt;p&gt;🚀 Welcome to the Bioinformatics Series! 🧬💻&lt;/p&gt;\n&lt;p&gt;H
 ey future bio-coders! 🎉 Get ready to explore how biology meets technolo
 gy in an exciting\, hands-on way! 🧑&amp;zwj\;🔬✨&lt;/p&gt;\n&lt;p&gt;Ever wondered 
 how scientists decode DNA 🧬\, track viruses 🦠\, or develop new medic
 ines 💊? They use code! By the end of this course\, you&amp;rsquo\;ll be wri
 ting Python programs to analyze genetic data&amp;mdash\;no prior coding experi
 ence needed! 🐍💡&lt;br&gt;What to Expect?&lt;/p&gt;\n&lt;p&gt;This 4-part series is des
 igned for beginners! In Session 1\, you&amp;rsquo\;ll dive into Python basics 
 and bioinformatics by:&lt;br&gt;✅ Reading DNA sequences from a file 📄&lt;br&gt;
 ✅ Counting nucleotides (A\, T\, C\, G) 🔢&lt;br&gt;✅ Converting DNA to RNA
  🎯&lt;/p&gt;\n&lt;p&gt;By the end\, you&amp;rsquo\;ll have your first bioinformatics sc
 ript running!&lt;/p&gt;\n&lt;p&gt;📢 Presented by IEEE Student Branch ULFS2 and led 
 by Elie Dina\, PhD student in AI &amp;amp\; Data Science.&lt;/p&gt;\n&lt;p&gt;📅 Date: T
 uesday\, April 8\, 2025&lt;br&gt;⏰ Time: 7:30 PM (1h30)&lt;br&gt;📍 Online via Goo
 gle Meet&lt;/p&gt;\n&lt;p&gt;Join us and code your way into bioinformatics! 🚀&lt;br&gt;#I
 EEEULFS2&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;&lt;img style=&quot;display: block\; marg
 in-left: auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.org/
 vtools_ui/media/display/b1abbb98-99b0-4929-9d98-e93ce0eb0ca5&quot; alt=&quot;&quot; width
 =&quot;331&quot; height=&quot;414&quot;&gt;In the first session\, we&amp;rsquo\;ll start with the abs
 olute basics of Python 🐍&amp;mdash\;no complicated stuff\, just the essenti
 als to get you started. Then\, we&amp;rsquo\;ll jump right into bioinformatics
  by working with real DNA sequences! 🧬 You&amp;rsquo\;ll learn how to:&lt;br&gt;
 ✅ Read DNA sequences from a file 📄&lt;br&gt;✅ Count how many times A\, T\
 , C\, and G appear 🔢&lt;br&gt;✅ Convert DNA to RNA in just a few lines of c
 ode 🎯&lt;/p&gt;
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