*From single cells to FAIR data! *

Working with single-cell data? Make your next GEO submission FAIR from the start! Join us next *Wednesday, September 2nd*, to learn best practices for submitting single-cell data to NCBI’s Gene Expression Omnibus (GEO).

As part of the monthly AgBioData Webinar Series https://www.agbiodata.org/webinars, *Emily Clough* of the National Center for Biotechnology Information (NCBI) will present the talk titled: “*Single-cell data submissions to NCBI’s Gene Expression Omnibus (GEO)*.” Full abstract and Zoom link below.

We hope you can join us!

Best, Marcela

-- * Wednesday, September 2nd, 1PM ET* | 1P ET | 12P CT | 11A MT | 10A PT | Find your local time here https://www.timeanddate.com/worldclock/fixedtime.html?msg=AgBioData+Sept+2026+Webinar+-+Emily+Clough+%28NCBI+GEO%29&iso=20260902T13&p1=3918&ah=1 .

Join Zoom Meeting https://us06web.zoom.us/j/82038356125?pwd=YVFMRElMdEpHZmtObXFvZlA4QVFXQT09 Meeting ID: 820 3835 6125 Passcode: 160683 --

* Speaker: *Emily Clough (NCBI)

*Title:* Single-cell data submissions to GEO

*Abstract: *The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository that archives gene expression and epigenomics data sets generated by next-generation sequencing and microarray technologies. The GEO repository is built and maintained by the National Center for Biotechnology Information (NCBI), a division of the National Library of Medicine (NLM). For 25 years GEO has been growing and adapting to emerging new technologies and now contains over 280,000 studies. The newest revolution in transcriptomics is single-cell technology which accounts for ~30% of all public RNA-seq studies in GEO. Single-cell data are large, structurally complex, and present unique challenges for archiving and data delivery. GEO has updated submission documentation with a section dedicated to single-cell data (https://www.ncbi.nlm.nih.gov/geo/info/seq.html#singlecell) describing required data formats, sample organization, and metadata. GEO’s metadata template provides examples for single-cell RNA-seq and multi-omics studies.

This webinar will focus on best practices for single-cell submissions to GEO to meet FAIR (Findable, Accessible, Interoperable, and Reuseable) data principles.