Readme clarification

README.md

@@ -2,11 +2,11 @@
 <b>The dynamic Python-based version of the website. The Django framework is used as the back-end. Data about organisms, genes, genomes, locus_tags and KEGG pathways are stored in a database (in a cloud-based Azure Cosmos DB for MongoDB). The Microsoft Azure Blob Storage is still used as a data lake to store static unstructured or semi-structured data, e.g., plots, bibliome and phylogenetic trees (i.e., data that are not used by search or any other scripts generating dynamic content).</b>
 
 ## Contributors
-- Front-end, analytics, LLM, data processing via a bioinformatics pipeline: Pascal A. Pieters, [email protected]; Binhuan Sun, [email protected]
-- Back-end, ETL pipeline, the website and vector databases, CI/CD pipeline, the github repo maintenance, versioning and backup systems, infrastructure, DevOps: Pascal A. Pieters, [email protected]
-
+- Front-end, analytics, LLM, data processing via a bioinformatics pipeline: Binhuan Sun (v1.0.0), Pascal A. Pieters (>=v2.0.0)
+- Back-end, ETL pipeline, the website and vector databases, CI/CD pipeline, the github repo maintenance, versioning and backup systems, infrastructure, DevOps: Liubov Pashkova (v2.0.0) Pascal A. Pieters (>=v3.0.0)
+For more info, contact Pascal A. Pieters, [email protected]
 ## Server Configuration
-Tested on Linux Ubuntu 20.04 (may need tweaks for other systems).
+Tested on Linux Ubuntu 20.04 and 24.04 (may need tweaks for other systems).
 
 Min hardware requirements solely for the PanKB website deployment (excl. the PanKB DB, ETL and AI Assistant app):
 - 4GB RAM