BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260614T215055Z
UID:c6f6c970-9e82-48cc-b329-4546f84d0399
DTSTART:20241212T120000Z
DTEND:20241212T150000Z
DESCRIPTION:The time is ripe to challenge fundamental assumptions on managi
 ng bioinformatics data. With good reason\, the notion of piping together c
 ommand line tools as workflows has long dominated bioinformatics. However\
 , returning to flat files on the command line at each junction adds parsin
 g and serialisation steps that are unnecessary and often change the data i
 n subtle (or less subtle) ways that are hard to fix. With Omnipy\, we inst
 ead follow the lead of ETL (Extract\, Transform and Load) solutions for Bi
 g Data – streamlined as an elegant and powerful Python library. Omnipy o
 ffers a systematic and scalable approach to building pipelines where the d
 ata is in focus\, more than the tools. Through the specification of data m
 odels/parsers\, Omnipy allows researchers to import data in various format
 s and wrangle the data through stepwise transformations. For automation wi
 th large data\, Omnipy seamlessly scales up for deployment on remote infra
 structures. The workshop will introduce the Omnipy library and its main co
 ncepts. This will take form as a mix of presentations and hands-on exercis
 es. While Omnipy is designed for cross-domain applicability\, the primary 
 use cases are bioinformatics-related. We will thus make use of real-world 
 examples that should feel relevant to many of the attendees. We have held 
 similar workshops before\, e.g. for [Oslo Bioinformatics Week 2023](https:
 //www.mn.uio.no/sbi/english/events/oslo-bioinformatics-workshop-week-2023/
 #02)\, Digital Scholarship Days 2024 ([part1](https://www.ub.uio.no/englis
 h/courses-events/events/dsc/2024/digital-scholarship-days/22-omnipy-part1.
 html) and [part two](https://www.ub.uio.no/english/courses-events/events/d
 sc/2024/digital-scholarship-days/22-omnipy-part2.html)) at UiO. Continuous
 ly improved over several years – not the least through feedback from wor
 kshop attendees – Omnipy is finally getting ready for its v1.0 release!
LOCATION:Ole-Johan Dahl's House\, 23B Gaustadalléen
SUMMARY:Streamlining Bioinformatics Data Pipelines with Omnipy
URL;VALUE=URI:https://www.mn.uio.no/sbi/english/events/oslo-bioinformatics-
 workshop-week-2024/#9
END:VEVENT
END:VCALENDAR