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UID:pretalx-juliacon-2026-3LGMBE@pretalx.com
DTSTART;TZID=CET:20260813T100000
DTEND;TZID=CET:20260813T101500
DESCRIPTION:The BioJulia organization began as `Bio.jl` circa January 2014 
 (julia v0.2 era) and has grown into a loosely organized collection of pack
 ages for computational biology\, from plotting protein structures (`BioMak
 ie.jl`) to performing matrix manipulations on single-cell RNA sequencing d
 ata (`SingleCellProjections.jl`) to low-level biological file type I/O (`A
 utoma.jl`\, `FASTX.jl`\, `XAM.jl`). Here\, we will provide a brief history
  of the Org and recent efforts to provide more structure for the community
 \, as well as growth areas and a vision for the future.
DTSTAMP:20260502T093459Z
LOCATION:Room 4
SUMMARY:The State of BioJulia - Kevin Bonham\, PhD
URL:https://pretalx.com/juliacon-2026/talk/3LGMBE/
END:VEVENT
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UID:pretalx-juliacon-2026-8JFFSK@pretalx.com
DTSTART;TZID=CET:20260813T114500
DTEND;TZID=CET:20260813T120000
DESCRIPTION:Spatial transcriptomics (sTx) is a cutting edge technology comb
 ining microscopy and high-throughput sequencing or molecular probes to mea
 sure transcription in the context of cells within their tissue context\, e
 nabling researchers to achieve single-cell resolution and identify spatial
  relationships between cell types. While this technology opens up many new
  avenues for investigation\, proprietary analysis applications provided by
  the manufacturers of sTx machines are typically slow (often requiring clo
 ud-based compute)\, feature-poor\, and do not generalize across technologi
 es. `SpatialOmics.jl` is a new package that combines functionality from Ju
 liaImages\, JuliaGeo\, and JuliaData to offer open source and extensible e
 nd-to-end analysis tools for spatial 'omics applications.
DTSTAMP:20260502T093459Z
LOCATION:Room 4
SUMMARY:SpatialOmics.jl - Using the geo\, image\, and data stacks to analyz
 e spatial transcriptomics data - Kevin Bonham\, PhD
URL:https://pretalx.com/juliacon-2026/talk/8JFFSK/
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