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DTSTAMP:20260711T152755Z
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DTSTART:20251027T090000Z
DTEND:20251027T170000Z
DESCRIPTION:## Overview\nSex and gender have been historically ignored as e
 xplanatory variables in transcriptomics studies\, in particular because of
  the fear that additional study variables might escalate experimental cost
 s and complicate data analysis. However recent policies from funding agenc
 ies and scientific journals require attention to sex and gender in researc
 h projects. More and more biologists now incorporate biological sex as an 
 experimental variable\, but how to do so appropriately can still be challe
 nging.  \n\nIn this one-day course we aim at guiding biologists and bioinf
 ormaticians through the steps of designing robust experiments\, with a foc
 us on high-throughput transcriptomics experiments\, and rigorously analysi
 ng them to draw statistically valid conclusions from such costly experimen
 ts. \n\n## Audience\nThis course is addressed to life scientists and compu
 tational biologists working in basic or biomedical research\, on human or 
 animals\, involved in planning/experimental design and/or performing downs
 tream analysis. Pure data analysts are welcome as they can have a role to 
 play from the beginning of research projects!\n\n## Learning outcomes\nAt 
 the end of the course\, the participants are expected to:\n- Inform their 
 colleagues about critical issues and challenges related to sex-based consi
 derations in biological data collection. \n- Propose suitable study design
  options and recognize potential biases that may arise in data collection 
 and interpretation. \n- Apply rigorous analytical methods on transcriptomi
 c datasets.\n- Interpret &amp\; report results transparently and reproduci
 bly in scientific papers.\n- Generalize methods to other variables (age\, 
 ethnicity\, etc) relevant to diversity and inclusion.\n\n\n## Prerequisite
 s\n##### Knowledge / competencies\n- Participants should already have a ba
 sic knowledge of the analysis of gene expression data\, for example as tau
 ght in the SIB course [Introduction to bulk RNA-Seq: From Quality Control 
 to Pathway Analysis](https://www.sib.swiss/training/course/20240919_IRNAS)
 .\n- A basic knowledge of the R statistical software is recommended. [Test
  your R skills with the quiz here\, before registering](https://docs.googl
 e.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/v
 iewform?usp=sf_link). \n\n##### Technical\nYou are required to bring your 
 own laptop with a wifi connection. An online R and RStudio environment wil
 l be provided\, but attendees who wish to run the practicals on their own 
 laptop should install [R](https://cran.r-project.org/) and [RStudio](https
 ://rstudio.com/products/rstudio/) before the start of the course.\n\n\n\n#
 # Application\nThe registration fees for academics are **100 CHF** and **5
 00 CHF** for for-profit companies.\n\nYou will be informed by email of you
 r registration confirmation. Upon reception of the confirmation email\, pa
 rticipants will be asked to confirm attendance by paying the fees within 5
  days.\n\nApplications close on *20/10/2025*. Deadline for free-of-charge 
 cancellation is set to *13/10/2025*. Cancellation after this date will not
  be reimbursed. Please note that participation in SIB courses is subject t
 o our [general conditions](https://www.sib.swiss/training/terms-and-condit
 ions).\n\n## Venue and Time\nThis course will take place online.\n\nThe co
 urse will start at 9:15 and end around 17:15. More information\, such as t
 he connection linkg\, will be provided to the participants in due time.\n\
 n\n## Additional information\nCoordination: Grégoire Rossier\, SIB Traini
 ng Group.\n\nWe will recommend  0.25 ECTS credits for this course (given a
  passed exam at the end of the course).\n\nYou are welcome to register to 
 the SIB courses mailing list to be informed of all future courses and work
 shops\, as well as all important deadlines using the form [here](https://l
 ists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\nPlease note t
 hat participation in SIB courses is subject to our [general conditions](ht
 tps://www.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [
 ELIXIR Code of Conduct](https://elixir-europe.org/events/code-of-conduct).
  Participants of SIB courses are also required to abide by the same code.\
 n\nFor more information\, please contact [training@sib.swiss](mailto://tra
 ining@sib.swiss).
SUMMARY:Best Practices for Investigating Gene Expression Differences by Bio
 logical Sex
URL;VALUE=URI:https://www.sib.swiss/training/course/20251027_BIOSE
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