Interface-guided phenotyping of coding variants in the transcription factor RUNX1 with SEUSS
Kıvılcım Öztürk, Rebecca Panwala, Jeanna Sheen, Kyle M. Ford, Nathan Payne, Dong‐Er Zhang, Stephan Hütter, Torsten Haferlach, Trey E. Ideker, Prashant Mali, Hannah K. Carter
The paper uses SEUSS to analyze the effects of 115 RUNX1 mutations on RNA profiles in myelogenous leukemia cells, categorizing them into three functional groups.
bioRxiv · Aug 3, 2023 · PreprintBioinformatics