Experiments
Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).
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An end-to-end generalizable deep learning framework to comprehensively analyze transcriptional regulation.
PMID 41922356 · PMC13212934 · Nature communications · 2026 · 8 claims · 7 setups
BioSeq2Seq is a transformer-based deep learning framework that predicts genome-wide transcriptional regulatory profiles at 128-bp resolution by jointly using RO-seq data and DNA sequence as tri-modal input
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ENCODE whole-genome data in the UCSC Genome Browser.
PMID 19920125 · PMC2808953 · Nucleic acids research · 2010 · 7 claims · 8 setups
The UCSC ENCODE Data Coordination Center serves as the primary repository for ENCODE experimental results, providing access via Genome Browser, Table Browser, and FTP download.
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The 3D genomics of lampbrush chromosomes highlights the role of active transcription in chromatin organization.
PMID 41978268 · PMC13076225 · Nucleic acids research · 2026 · 8 claims · 8 setups
Single-nucleus Hi-C reveals CTCF-independent contact domains with stable boundaries defined by convergently oriented transcription units (TUs)
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Modeling nascent transcription from chromatin landscape and structure with CLASTER.
PMID 41691282 · PMC13011747 · Genome biology · 2026 · 7 claims · 8 setups
CLASTER, a deep neural network combining chromatin landscape tracks and 3D contact maps, accurately predicts kilobasepair-resolution nascent RNA (EU-seq) profiles in a DNA-sequence-agnostic manner