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DTSTAMP:20260527T084458Z
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DTSTART:20260922T070000Z
DTEND:20260922T150000Z
DESCRIPTION:Educators: \nEnrico Seiler (CIBI)\, Jonas Schulte-Mattler\, Sve
 nja Mehringer\n\nDate: \n2026-09-22\n\nLocation: \n40th German Conference 
 on Bioinformatics\, Saarbrücken\, Germany\n(#GCB2026\,https://gcb2026.de/
 gcb2026_workshops.html#WS09)\n\nContents:\nExploration of scalable tools f
 or sequence analysis\, focusing on Approximate Membership Queries (AMQ) fo
 r short sequence patterns in large reference datasets. Application of the 
 Hierarchical Interleaved Bloom Filter (HIBF) to a read mapper.\n\nLearning
  goals:\n\nDescribe the general concept and key applications of AMQ.\nAppl
 y AMQ to an example read mapper application.\nCompare the performance of t
 he application with and without AMQ.\nGain hands-on experience with modern
  C++ API integration. \nPrerequisites:\n\nFundamental knowledge of sequenc
 ing experiments and associated data.\nIntermediate programming skills in a
  high-level language (e.g.\, Python\, Java\, or Rust).\nBasic C++ knowledg
 e (helpful but not mandatory).\nA laptop to connect to the provided virtua
 l machine.\nKeywords:\nSequence analysis\, genomics\, metagenomics\, read 
 alignment\, Approximate Membership Query (AMQ)\, Hierarchical Interleaved 
 Bloom Filter (HIBF)\, C++\, indexing data structures\n\nTools:\nde.NBI Clo
 ud\nSeqAn (C++20/23):\n\nhttps://github.com/seqan/sharg-parser\nhttps://gi
 thub.com/seqan/hibf\nhttps://github.com/seqan/seqan3
LOCATION:Saarbrücken
SUMMARY:BioC++: Building Petabase-Scale Search with HIBF and Modern C++ - G
 CB 2026
URL;VALUE=URI:https://www.denbi.de/training-courses-2026/2095-bioc-building
 -petabase-scale-search-with-hibf-and-modern-c-gcb-2026
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