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 · 92
Synergism between IL7R and CXCR4 drives BCR-ABL induced transformation in Philadelphia chromosome-positive acute lymphoblastic leukemia.
PMID 32581241 · PMC7314847 · Nature communications · 2020 · 8 claims · 8 setups
IL7R interacts/colocalizes with CXCR4 on the cell surface, recruiting BCR-ABL1 and JAK kinases into close proximity to form a platform for transformation
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The cancer secretome: a reservoir of biomarkers.
PMID 18796163 · PMC2562990 · Journal of translational medicine · 2008 · 8 claims · 8 setups
Cancer secretome analysis is a promising reservoir for identifying novel, non-invasive cancer biomarkers, addressing limitations of whole blood/serum proteomics
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Has reproduction · 74
An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study.
PMID 27583132 · PMC4972086 · F1000Research · 2016 · 6 claims · 6 setups
An open-source, reproducible RNA-seq pipeline delivered as an IPython notebook and Docker image can process raw RNA-seq data into interactive PCA/HC plots, enrichment results, and small-molecule predictions with minimal setup overhead
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Has reproduction · 95
MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data.
PMID 29901703 · PMC6025204 · GigaScience · 2018 · 6 claims · 7 setups
A two-step 'omni' RNA-seq pipeline (MetaMap) combining STAR human alignment with CLARK-S metagenomic classification can quantify archaeal, bacterial, and viral reads from the non-human read fraction of human RNA-seq data
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Has reproduction
Using random walks to identify cancer-associated modules in expression data.
PMID 24128261 · PMC4015830 · BioData mining · 2013 · 8 claims · 8 setups
Walktrap-GM, a random-walk community detection algorithm adapted with stopping criteria (maximum modularity, maximum size, maximum module score), identifies modules significantly enriched with cancer genes in expression-weighted interaction networks.
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Network inference and network response identification: moving genome-scale data to the next level of biological discovery.
PMID 20174676 · PMC3087299 · Molecular bioSystems · 2010 · 8 claims · 8 setups
Cellular response to a signal is assumed to involve only specific TRN modules (conditionally active subnetworks) rather than the entire network, providing quantitative tractability