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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Fully haplotyped genome assemblies of healthy individuals reveal variability in 5'ss strength and support by splicing regulatory proteins.
PMID 40191587 · PMC11970367 · NAR genomics and bioinformatics · 2025 · 8 claims · 5 setups
44 individuals' fully haplotyped diploid genome assemblies (88 haplotypes) from the 1000 Genomes Project were used to comprehensively assess homozygous and heterozygous sequence variations around and within 5'ss
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Application of ProteinChip array profiling in serum biomarker discovery for patients suffering from severe acute respiratory syndrome.
PMID 18220240 · PMC7120874 · Methods in molecular biology (Clifton, N.J.) · 2007 · 8 claims · 5 setups
SELDI-TOF-MS ProteinChip array profiling of serum can identify differentially expressed protein biomarkers in SARS-CoV infected patients versus controls.
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A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.
PMID 18631455 · PMC2727981 · Immunity · 2008 · 7 claims · 8 setups
Transcriptional modules constructed from coordinately expressed genes across 8 diseases form stable, biologically coherent functional units
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Missense polymorphisms in the adenomatous polyposis coli gene and colorectal cancer risk.
PMID 18612690 · PMC2768068 · Diseases of the colon and rectum · 2008 · 7 claims · 4 setups
Germline missense APC alterations (S130G, E1317Q, D1822V, G2502S) identified in a CRC-multiple-polyp cohort do not confer significantly increased CRC risk when tested in a large population-based case-control series
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Has reproduction · 79
pyrpipe: a Python package for RNA-Seq workflows.
PMID 34085037 · PMC8168212 · NAR genomics and bioinformatics · 2021 · 8 claims · 3 setups
pyrpipe enables development of flexible, reproducible, and easy-to-debug RNA-Seq computational pipelines purely in Python, in an object-oriented manner