We provide essential resources, expertise and services and represent Swiss bioinformatics.
🔹Showcase your innovations
🔹Increase your visibility in Europe
🔹Recruit top talents
👉 Explore our packages: eccb2026.org/become-partner
🔹Showcase your innovations
🔹Increase your visibility in Europe
🔹Recruit top talents
👉 Explore our packages: eccb2026.org/become-partner
Many thanks to @beilstein-institut.bsky.social @glycosmos.bsky.social @sib.swiss
Many thanks to @beilstein-institut.bsky.social @glycosmos.bsky.social @sib.swiss
Read full interview. www.sib.swiss/news/several...
Read full interview. www.sib.swiss/news/several...
🗣️“Cancer Genomics Data: From Local Resources to Global Federation with GA4GH Standards”, by Dr. Michael Baudis (Professor at University of Zurich & Group Leader at
@sib.swiss)
🗓️ December 18th, 2025
📌 Felix Serratosa, @PCB_UB (BCN)
📝Register here: www.cnag.eu/scientific-t...
🗣️“Cancer Genomics Data: From Local Resources to Global Federation with GA4GH Standards”, by Dr. Michael Baudis (Professor at University of Zurich & Group Leader at
@sib.swiss)
🗓️ December 18th, 2025
📌 Felix Serratosa, @PCB_UB (BCN)
📝Register here: www.cnag.eu/scientific-t...
🎙️ Pathoplexus: A Community-Driven Solution for Transparent and Equitable Viral Genomic Data Sharing
👩🔬 Emma Hodcroft @firefoxx66.bsky.social (@swisstph.ch @sib.swiss)
🗓️ 27 Nov 2025 🕑 4 PM CET
📍 Zoom - Register to receive login details
👉 tinyurl.com/VirInSilico
@sduvaud.bsky.social @geertvangeest.bsky.social
@sduvaud.bsky.social @geertvangeest.bsky.social
The changes will simplify and streamline searches, analyses and downloads for users, and better support comparative proteomics research.
Reference proteomes will remain in UniProtKB, while others will move to UniParc.
Read more about these changes:
www.ebi.ac.uk/about/news/u...
🧬 🖥️
Uniprot is a collaboration between EMBL-EBI, @sib.swiss & the Protein Information Resource.
The changes will simplify and streamline searches, analyses and downloads for users, and better support comparative proteomics research.
👇 Read more
👉 A great opportunity to share tools, methods and expertise with 1,000+ international participants. Deadline: 5 January 2026.
🗓️ Deadline: 5 January 2026
👉 Submit: tinyurl.com/tw-eccb26
💡 ECCB will take place on 31 Aug–4 Sept in Geneva, gathering 1,000+ scientists from academia, industry, & healthcare.
👉 A great opportunity to share tools, methods and expertise with 1,000+ international participants. Deadline: 5 January 2026.
👇 Read more
👇 Read more
👥 Each session is led by 1 area chair and 3 co-chairs
👉 Discover the full committee: eccb2026.org/committees
👥 Each session is led by 1 area chair and 3 co-chairs
👉 Discover the full committee: eccb2026.org/committees
Learn how to build reproducible data analysis workflows using Galaxy, a powerful, user-friendly platform. The session is intended for the Swiss rsrch community.
Register forms.gle/Y3vxW1u62FLM...
Learn how to build reproducible data analysis workflows using Galaxy, a powerful, user-friendly platform. The session is intended for the Swiss rsrch community.
Register forms.gle/Y3vxW1u62FLM...
⭐ David Meyer @meyerdh.bsky.social, PhD Paper Award
⭐ Michael Skinnider @skinnider.bsky.social Early Career Award
⭐ scverse @scverse.bsky.social, Innovative Resource Award, accepted by Ilan Gold
Watch their award ceremony talks👇& congrats to all!
⭐ David Meyer @meyerdh.bsky.social, PhD Paper Award
⭐ Michael Skinnider @skinnider.bsky.social Early Career Award
⭐ scverse @scverse.bsky.social, Innovative Resource Award, accepted by Ilan Gold
Watch their award ceremony talks👇& congrats to all!
Apply or spread the word!
apply.refline.ch/499599/0346/...
Apply or spread the word!
apply.refline.ch/499599/0346/...
The next edition takes place in 2026 — register by 12 Dec 2025 👉 www.formation-continue-unil-epfl.ch/formation/re...
The next edition takes place in 2026 — register by 12 Dec 2025 👉 www.formation-continue-unil-epfl.ch/formation/re...
> u.ethz.ch/IxSY8
> u.ethz.ch/IxSY8
Can Chen for “Structure-Aware Protein Self-Supervised Learning” doi.org/10.1093/bioi...
Yifan Zhao for “Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data” doi.org/10.1038/s414...
#bc2basel