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 · 89
Identification of genes influencing the evolution of Escherichia coli ST372 in dogs and humans.
PMID 36752777 · PMC9997745 · Microbial genomics · 2023 · 8 claims · 8 setups
Dogs are the dominant host of E. coli ST372, and clusters within the ST372 population structure exhibit distinctive O:H types.
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Has reproduction · 68
Constraints to gene flow increase the risk of genome erosion in the Ngorongoro Crater lion population.
PMID 40258987 · PMC12012037 · Communications biology · 2025 · 8 claims · 9 setups
200 years of quasi-isolation and the 1962 epizootic caused a two-fold increase in inbreeding and an excess of highly deleterious mutations in Crater lions relative to other Greater Serengeti populations
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Has reproduction · 98
maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
PMID 36719906 · PMC9917285 · PLoS computational biology · 2023 · 8 claims · 6 setups
maxATAC is a suite of deep neural network models enabling state-of-the-art, genome-scale TFBS prediction from ATAC-seq, with models for 127 human transcription factors
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Has reproduction · 74
ChIP-seq guidelines and practices of the ENCODE and modENCODE consortia.
PMID 22955991 · PMC3431496 · Genome research · 2012 · 8 claims · 8 setups
ENCODE/modENCODE define a set of working standards and guidelines for ChIP-seq covering antibody validation, experimental replication, sequencing depth, data/metadata reporting, and data quality assessment.
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Full-text index only
Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.
PMID 19651875 · PMC2761287 · Nucleic acids research · 2009 · 8 claims · 7 setups
The LCV approach predicts HTH motifs with 93.29% accuracy, 93.93% sensitivity and 92.66% specificity using only primary sequence information