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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Versatile and open software for comparing large genomes.
PMID 14759262 · PMC395750 · Genome biology · 2004 · 8 claims · 8 setups
MUMmer 3.0 efficiently handles comparisons of large eukaryotic genomes at varying evolutionary distances
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Evolutionary toggling of the MAPT 17q21.31 inversion region.
PMID 19165922 · PMC2684794 · Nature genetics · 2008 · 8 claims · 6 setups
The H2 (inverted) orientation is the most likely ancestral great ape/human configuration at 17q21.31
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Has reproduction · 91
Genomic Description of 'Candidatus Abyssubacteria,' a Novel Subsurface Lineage Within the Candidate Phylum Hydrogenedentes.
PMID 30210471 · PMC6121073 · Frontiers in microbiology · 2018 · 8 claims · 7 setups
SURF_5 and SURF_17 are the first full genomes of a novel bacterial lineage, 'Candidatus Abyssubacteria,' within the candidate phylum Hydrogenedentes
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PCR-free method detects high frequency of genomic instability in prostate cancer.
PMID 19797393 · PMC2794161 · Nucleic acids research · 2009 · 7 claims · 6 setups
A novel PCR-free random cloning/sequencing method can detect genomic variants that PCR-based approaches miss in heterogeneous tumor genomes.
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Has reproduction · 83
Accurate prediction of metagenome-assembled genome completeness by MAGISTA, a random forest model built on alignment-free intra-bin statistics.
PMID 35248155 · PMC8898458 · Environmental microbiome · 2022 · 7 claims · 7 setups
MAGISTA, a random forest model built on alignment-free intra-bin distance-distribution statistics, can estimate MAG completeness and purity without relying on reference marker genes.
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Defining the proteome.
PMID 16356278 · PMC1414090 · Genome biology · 2005 · 8 claims · 8 setups
Integration of multi-omics data is an important step toward a systems-biology approach to the proteome