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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Has reproduction · 99
Systematic benchmarking of tools for CpG methylation detection from nanopore sequencing.
PMID 34103501 · PMC8187371 · Nature communications · 2021 · 8 claims · 6 setups
Existing Nanopore methylation detection tools present a tradeoff between false positives and false negatives and show high dispersion relative to expected methylation frequency values.
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Has reproduction · 93
5-methylcytosine RNA modification regulators-based patterns and features of immune microenvironment in acute myeloid leukemia.
PMID 38277218 · PMC10911375 · Aging · 2024 · 8 claims · 8 setups
m5C regulators are differentially expressed between AML and normal samples and correlate with AML prognosis
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Full-text index only
A distinct epigenetic signature at targets of a leukemia protein.
PMID 17266773 · PMC1796549 · BMC genomics · 2007 · 7 claims · 7 setups
Combining gene expression microarray analysis with bioinformatic search for AML1-consensus sequences identifies direct AML1 targets that expression analysis alone cannot resolve
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Has reproduction · 52
epiGBS2: Improvements and evaluation of highly multiplexed, epiGBS-based reduced representation bisulfite sequencing.
PMID 35178872 · PMC9311447 · Molecular ecology resources · 2022 · 8 claims · 8 setups
epiGBS2 provides a laboratory protocol and revised bioinformatics pipeline for de novo cytosine methylation and SNP calling in species with or without a reference genome
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 8 claims · 7 setups
DeepProg is a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data