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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A map of human protein interactions derived from co-expression of human mRNAs and their orthologs.
PMID 18414481 · PMC2387231 · Molecular systems biology · 2008 · 8 claims · 6 setups
Comparing human mRNA co-expression with co-expression of orthologous gene pairs in five other organisms identifies proteins that physically associate
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Predicting deleterious nsSNPs: an analysis of sequence and structural attributes.
PMID 16630345 · PMC1489951 · BMC bioinformatics · 2006 · 8 claims · 7 setups
Sequence conservation (PSIC score difference) at the nsSNP position is the single most useful attribute for predicting deleterious vs neutral status.
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Sequence similarity network reveals common ancestry of multidomain proteins.
PMID 18475320 · PMC2377100 · PLoS computational biology · 2008 · 8 claims · 6 setups
Traditional homology definitions do not capture multidomain evolution; the authors extend the definition to include domain insertion via a common ancestral locus model.
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BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments.
PMID 16845052 · PMC1538844 · Nucleic acids research · 2006 · 8 claims · 8 setups
Babelomics is presented as an updated, complete suite of web tools for functional analysis of genome-scale experiments with new and improved modules
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nsSNPAnalyzer: identifying disease-associated nonsynonymous single nucleotide polymorphisms.
PMID 15980516 · PMC1160133 · Nucleic acids research · 2005 · 6 claims · 4 setups
nsSNPAnalyzer is a web server that predicts whether a query nsSNP is disease-associated or functionally neutral using a Random Forest classifier combining structural and evolutionary information
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Has reproduction · 45
De novo transcriptomic analysis of leaf and fruit tissue of Cornus officinalis using Illumina platform.
PMID 29451882 · PMC5815590 · PloS one · 2018 · 7 claims · 7 setups
This is the first de novo transcriptomic analysis of Cornus officinalis, providing fundamental gene and biosynthetic pathway information.
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The functional importance of disease-associated mutation.
PMID 12220483 · PMC128831 · BMC bioinformatics · 2002 · 6 claims · 1 setups
Disease-associated mutations occur in conserved regions of genes and can be used to identify likely disease-causing mutations
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Has reproduction · 77
Representing and querying disease networks using graph databases.
PMID 27462371 · PMC4960687 · BioData mining · 2016 · 7 claims · 8 setups
Graph databases are well suited for representing biological information that is highly connected, semi-structured, and unpredictable.
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Intrinsic structural disorder confers cellular viability on oncogenic fusion proteins.
PMID 19888473 · PMC2768585 · PLoS computational biology · 2009 · 8 claims · 5 setups
Translocation-related human proteins are significantly enriched in intrinsic structural disorder compared to all human proteins
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'Genome design' model and multicellular complexity: golden middle.
PMID 17062620 · PMC1635334 · Nucleic acids research · 2006 · 8 claims · 8 setups
Intermediately expressed human genes are the longest genes genome-wide, in both coding and intronic sequence, longer than housekeeping or tissue-specific genes.
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Extraction of human kinase mutations from literature, databases and genotyping studies.
PMID 19758464 · PMC2745582 · BMC bioinformatics · 2009 · 7 claims · 6 setups
A literature mining pipeline combining MutationFinder, false-positive filtering, and SVM-based classification can extract and disambiguate single-point mutation mentions from abstracts and full text
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Has reproduction · 69
A comparison across non-model animals suggests an optimal sequencing depth for de novo transcriptome assembly.
PMID 23496952 · PMC3655071 · BMC genomics · 2013 · 8 claims · 8 setups
Representative de novo transcriptome assemblies are generated with as few as ~20 million reads for single-tissue samples and ~30 million reads for whole animals at the mRNA-coverage level.