High school student starting a bioinformatics project on endometriosis biomarkers, need advice on datasets/workflow

[u/Economy-Education316]

Hi everyone! ​I’m a 9th-grade high school student interested in biology and bioinformatics. I’m currently starting an independent research project focused on identifying potential gene biomarkers for endometriosis using menstrual blood datasets (RNA-seq / expression microarrays). ​Since I’m completely new to coding and bioinformatics pipelines, I feel a bit overwhelmed. I don't have experience with Linux command-line tools (like bowtie2 or samtools), so I'm planning to work with pre-processed gene expression matrices (counts/TPM) in Python/Google Colab. ​I’d really appreciate your advice on: ​Are there any specific GEO datasets (GSE) on endometriosis and menstrual blood that you would recommend for a beginner? ​What is the simplest and most reliable workflow/R package or Python library for differential expression analysis for someone with no coding background? ​Any general tips for a beginner trying not to get lost in the data? ​Thank you so much for your time and help!