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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Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information.
PMID 15941473 · PMC1164402 · BMC bioinformatics · 2005 · 8 claims · 5 setups
A combined linguistic+statistical+rule-based method achieves precision 0.61 and recall 0.97 (f=0.74) detecting yeast protein-protein interactions across 12,300 Medline abstracts.
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SysPIMP: the web-based systematical platform for identifying human disease-related mutated sequences from mass spectrometry.
PMID 19036792 · PMC2686442 · Nucleic acids research · 2009 · 8 claims · 7 setups
SysPIMP is a web-based platform integrating disease mutation databases with X!Tandem and BLAST to identify disease-related mutated proteins from MS results
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Seeded Bayesian Networks: constructing genetic networks from microarray data.
PMID 18601736 · PMC2474592 · BMC systems biology · 2008 · 8 claims · 4 setups
Seeding Bayesian Network analysis with prior networks derived from literature and/or PPI data improves recovery of known gene-gene interactions compared to BN analysis without a seed
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Building disease-specific drug-protein connectivity maps from molecular interaction networks and PubMed abstracts.
PMID 19649302 · PMC2709445 · PLoS computational biology · 2009 · 7 claims · 4 setups
A computational framework can build disease-specific drug-protein connectivity maps by integrating protein interaction networks and PubMed literature mining, without gene expression profiles from drug perturbation experiments
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Has reproduction · 75
An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries.
PMID 33247935 · PMC7698665 · Database : the journal of biological databases and curation · 2020 · 8 claims · 6 setups
GETc enables discovery and visualization of time-course gene expression data and analytical results from GEO
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Has reproduction · 94
Systematic assessment of pathway databases, based on a diverse collection of user-submitted experiments.
PMID 36088548 · PMC9487593 · Briefings in bioinformatics · 2022 · 8 claims · 6 setups
Well-established, hierarchically organized pathway annotation systems (e.g. GO, Reactome, KEGG) yield the best overall enrichment performance despite covering much of the human genome only in general terms.
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Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.
PMID 19728866 · PMC2768980 · Genome biology · 2009 · 6 claims · 6 setups
Integrating 16 genomic features (32 sub-features) via a naïve Bayes classifier produces a genome-scale FLN of 21,657 human genes and 22,388,609 weighted links that outperforms any individual data source for inferring functional linkages.
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FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments.
PMID 17478504 · PMC1933151 · Nucleic acids research · 2007 · 8 claims · 8 setups
FatiGO+ is a web-based tool for functional profiling of genome-scale experiments that integrates functional annotation, regulatory motifs and interaction data
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Has reproduction · 84
COXPRESdb v8: an animal gene coexpression database navigating from a global view to detailed investigations.
PMID 36350658 · PMC9825429 · Nucleic acids research · 2023 · 8 claims · 6 setups
COXPRESdb version 8 adds CoexMap (UMAP-based genome-scale coexpression visualization), KEGG pathway enrichment summaries, and CoexPub (literature-linking tool) as new analysis features.
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Linking disease-associated genes to regulatory networks via promoter organization.
PMID 15701758 · PMC549397 · Nucleic acids research · 2005 · 8 claims · 7 setups
Pairs of TFBSs conserved both vertically (orthologous genes) and horizontally (co-regulated genes) can serve as seeds to build promoter models representing potential co-regulation networks