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SUMMARY:From Genes to Grids: How Python Brings Sequence Alignment to Life 
 - Samantha Vivien L. Servo
DTSTART;TZID=Asia/Manila:20260322T103000
DTEND;TZID=Asia/Manila:20260322T110000
DTSTAMP:20261009T013043Z
UID:pretalx-python-asia-2026-LBS7AB@pretalx.com
DESCRIPTION:This 30-minute talk is for intermediate Python users curious a
 bout scientific computing and bioinformatics beginners. It demystifies the
  fundamental algorithms for sequence alignment (Needleman-Wunsch and Smith
 -Waterman) by connecting them to core CS (dynamic programming) and familia
 r concepts (like diff tools).\n\nThe target audience of this talk is categ
 orized into two (2): primary and secondary audiences.\n\na. Primary Audien
 ce:  Intermediate Python users curious about applying coding to science\, 
 and bioinformatics beginners\n\nb. Secondary Audience: Data scientists exp
 loring new domains\, and educators seeking practical\, high-impact example
 s of complex algorithms.\n\nIn this talk\, I will cover the following topi
 cs:\n\n1.  Introduction: The "Alignment" Problem (5 min)\n->This section i
 ntroduces the core concepts of sequence alignment (global vs. local) using
  a familiar analogy: file comparison tools.\n     \n2. The Logic: From Gri
 d to Python Snippet (10 min)\n-> A practical walkthrough of the dynamic pr
 ogramming logic behind sequence alignment\, translating the algorithm's "g
 rid" into an intuitive Python snippet.\n\n3. Python in the Wild: Biopython
  & Beyond (5 min)\n-> This segment bridges the gap from theory to practice
 \, demonstrating how to use the foundational Biopython library to perform 
 real-world alignments.\n\n4.  Impact\, Takeaways & Q&A Handoff (5 min)\n->
  This final part explores the broad impact of alignment in fields like gen
 omics and NLP\, summarizes key takeaways\, and opens the floor for Q&A.
LOCATION:Yuchengco Hall 5th Flr. Y507 (Workshop Room 1)
URL:https://pretalx.com/python-asia-2026/talk/LBS7AB/
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