We are a team of computational biologists at St. Anna Children's Cancer Research Institute (CCRI). It is our goal to understand developmental processes in cancer biology by employing an integrative approach that combines developmental biology with functional genomics. For more information visit our lab website or our institutional homepage.
Lab links:
The repositories below host computer code associated with our publications.
Wrapper and helper functions commonly used by the Developmental Cancer Genomics group at St. Anna Children's Cancer Research Institute
Supplementary code repository for: A stem cell model identifies two alternative cell fates in CBFA2T3::GLIS2-driven acute megakaryoblastic leukemia initiation
Code repository accompanying the paper by Saldana & Montano et al. (2024), Nat. Commun.
Code repository for the analysis of single-cell RNA-seq, TCR- and BCR-Seq data presented in Ressler JM et al., Nature Cancer (2025)
Code used for the analysis of RNA-seq and ATAC-seq data presented in Noorizadeh et al., 2025
Code used for the analysis of single-cell RNA-seq data presented in Ransmayr et al., 2024
Benchmark study for single-cell single-sample differential expression pipelines
Code repository accompanying the paper by Kirchberger, Shoeb, et al. (2024), Nat. Commun.
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