Work

A comprehensive map of the sequence basis of transcription initiation in humans

Year: 2026

Type: preprint

Abstract: Transcription initiation is a key marker of active enhancers and promoters. Here we describe an atlas of efficient and interpretable deep learning models trained on over 200 transcription initiation profiling experiments representing all major human organs and many cancer types. We show that our models accurately predict initiation patterns from local DNA sequence and decode their sequence determinants across diverse cellular contexts.

Source: bioRxiv (Cold Spring Harbor Laboratory)

DOI: 10.64898/2026.10.29.762743

Authors: Adam Y. He, Claire Tian, Anshul Kundaje

Institution: Stanford University

Language: English

Topic: Genomics and Chromatin Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, Stanford Research Computing Center, Stanford University