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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Direct maximum parsimony phylogeny reconstruction from genotype data.
PMID 18053244 · PMC2222657 · BMC bioinformatics · 2007 · 6 claims · 4 setups
The paper presents the first practical method for computing maximum parsimony phylogenies directly from genotype data, using integer linear programming.
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Gene loss rate: a probabilistic measure for the conservation of eukaryotic genes.
PMID 17158152 · PMC1802574 · Nucleic acids research · 2007 · 8 claims · 8 setups
GLR is a novel maximum-likelihood measure of gene loss rate that probabilistically weighs all possible ancestral phyletic patterns rather than relying on a single parsimonious reconstruction.
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Has reproduction · 94
Deep learning from phylogenies to uncover the epidemiological dynamics of outbreaks.
PMID 35794110 · PMC9258765 · Nature communications · 2022 · 8 claims · 5 setups
Deep learning (FFNN-SS and CNN-CBLV) enables accurate and fast likelihood-free estimation of epidemiological parameters and model selection from phylogenies
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Has reproduction · 73
treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses.
PMID 34001188 · PMC8127214 · Genome biology · 2021 · 7 claims · 7 setups
treeclimbR proposes multiple candidate resolutions on a hierarchical tree and selects the optimal one in a data-driven way to pinpoint signal branches/leaves of interest.
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Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.
PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups
The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).
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Adaptation to different human populations by HIV-1 revealed by codon-based analyses.
PMID 16789820 · PMC1480537 · PLoS computational biology · 2006 · 8 claims · 8 setups
Developed two fixed effects maximum likelihood methods: one to detect selection that persists in a population (internal vs. terminal branches) and one to detect differential selection on codons between two populations.
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Genomic variability within an organism exposes its cell lineage tree.
PMID 16261192 · PMC1274291 · PLoS computational biology · 2005 · 8 claims · 5 setups
Somatic mutations accumulated during normal development implicitly encode an organism's entire cell lineage tree with very high precision.
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Processing and population genetic analysis of multigenic datasets with ProSeq3 software.
PMID 19797407 · PMC2778335 · Bioinformatics (Oxford, England) · 2009 · 8 claims · 7 setups
ProSeq3 is a program with a graphic user interface that simplifies preparation and basic population genetic analysis of multigenic DNA polymorphism datasets
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Evolutionary modeling of rate shifts reveals specificity determinants in HIV-1 subtypes.
PMID 18989394 · PMC2566816 · PLoS computational biology · 2008 · 7 claims · 4 setups
A novel Bayesian method, RASER, can detect site-specific evolutionary rate shifts and the lineages in which they occurred without pre-specifying candidate lineages.
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Assessing the genomic evidence for conserved transcribed pseudogenes under selection.
PMID 19754956 · PMC2753554 · BMC genomics · 2009 · 8 claims · 8 setups
1750 transcribed pseudogene annotations (TPAs) were identified in the human genome, ~11.5% of all human pseudogene annotations.
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Has reproduction · 85
PowerBacGWAS: a computational pipeline to perform power calculations for bacterial genome-wide association studies.
PMID 35338232 · PMC8956664 · Communications biology · 2022 · 8 claims · 8 setups
Two computational approaches (sub-sampling and phenotype-simulation) can be implemented to perform power calculations for bacterial GWAS using existing genome collections, packaged as the PowerBacGWAS pipeline