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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Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.
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GENCODE: producing a reference annotation for ENCODE.
PMID 16925838 · PMC1810553 · Genome biology · 2006 · 8 claims · 8 setups
GENCODE annotation combines initial manual annotation by HAVANA, experimental validation, and refinement based on results to identify protein-coding genes in ENCODE regions
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Has reproduction · 58
A comparative study of techniques for differential expression analysis on RNA-Seq data.
PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups
edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.
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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.
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Ontological Discovery Environment: a system for integrating gene-phenotype associations.
PMID 19733230 · PMC2783409 · Genomics · 2009 · 8 claims · 8 setups
ODE is a web-based system for storing, sharing, retrieving and analyzing phenotype-centered genomic data sets across species and experimental systems
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.