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A novel bioinformatics approach reveals key transcription factors regulating type 1 diabetes-associated transcriptomes

2025-05-17

Abstract excerpt

We developed a novel bioinformatics pipeline that reveals key transcription factors (TFs) regulating type 1 diabetes transcriptomes by combining automated Python workflows, DESeq2-based differential expression analysis, motif enrichment, and genome-wide TF abundance profiling, a rare but powerful strategy that deepens our understanding of disease mechanisms. This approach not only uncovers TFs driving pathology bu...

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Literature Corpus work
ae2c1f67-d200-5e36-8f9b-0b31720e42fc
DOI
10.1101/2025.05.13.653885
Open publication

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A novel bioinformatics approach reveals key transcription factors regulating type 1 diabetes-associated transcriptomesDOI 10.1101/2025.05.13.653885
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