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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InParanoid 7: new algorithms and tools for eukaryotic orthology analysis.
PMID 19892828 · PMC2808972 · Nucleic acids research · 2010 · 8 claims · 7 setups
InParanoid 7 expands the database by an order of magnitude to 100 species, 1.3 million proteins, and 42.7 million pairwise ortholog groups.
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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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Inparanoid: a comprehensive database of eukaryotic orthologs.
PMID 15608241 · PMC540061 · Nucleic acids research · 2005 · 8 claims · 4 setups
The Inparanoid algorithm identifies true ortholog clusters by seeding on reciprocal best-matching pairs, gathering inparalogs (post-speciation duplicates) while excluding outparalogs (pre-speciation duplicates)
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Has reproduction · 93
Protocol for assessing regulatory elements in murine heart using an AAV9-based massively parallel reporter assay.
PMID 40252222 · PMC12033988 · STAR protocols · 2025 · 8 claims · 5 setups
An AAV9-based in vivo MPRA (AAV-MPRA) workflow, combined with a companion informatics platform, can dissect and quantify enhancer activity in mouse heart.
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The use of multiple displacement amplification to amplify complex DNA libraries.
PMID 18285362 · PMC2275127 · Nucleic acids research · 2008 · 7 claims · 8 setups
MDA alone cannot select against/remove plasmid ligation multimers, unlike bacterial propagation
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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