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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The evolutionary dynamics of a rapidly mutating virus within and between hosts: the case of hepatitis C virus.
PMID 19911046 · PMC2768904 · PLoS computational biology · 2009 · 8 claims · 3 setups
The replication rate of the strain that initiates an infection has a strong effect on the fitness of the infection at the between-host level, even though the virus evolves rapidly within the host.
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Antigenic diversity, transmission mechanisms, and the evolution of pathogens.
PMID 19847288 · PMC2759524 · PLoS computational biology · 2009 · 8 claims · 3 setups
Three distinct infection types (A, B, C) emerge as maxima in the pathogen fitness landscape, each with characteristic within-host dynamics, contact network structure, and transmission mode
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Emergence of recombinant forms of HIV: dynamics and scaling.
PMID 17967052 · PMC2041978 · PLoS computational biology · 2007 · 7 claims · 5 setups
A detailed mathematical model incorporating multiple cell infections and recombination quantitatively captures experimental observations of recombinant HIV emergence dynamics in vitro
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Has reproduction · 83
SIRE 2.0: a novel method for estimating polygenic host effects underlying infectious disease transmission, and analytical expressions for prediction accuracies.
PMID 40169992 · PMC11963337 · Genetics, selection, evolution : GSE · 2025 · 8 claims · 2 setups
SIRE 2.0 is a novel Bayesian methodology and software tool for estimating polygenic contributions (variance components and additive genetic effects) to host susceptibility, infectivity and recoverability from temporal epidemic data using pedigree/genomic relationship matrices.
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Hit selection with false discovery rate control in genome-scale RNAi screens.
PMID 18628291 · PMC2504311 · Nucleic acids research · 2008 · 8 claims · 3 setups
A Bayesian FDR-controlling methodology for hit selection in genome-scale RNAi HTS is proposed, using a direct posterior probability approach analogous to Newton et al.
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Has reproduction · 89
Assessing the impacts of COVID-19 vaccination programme's timing and speed on health benefits, cost-effectiveness, and relative affordability in 27 African countries.
PMID 36882868 · PMC9991879 · BMC medicine · 2023 · 8 claims · 6 setups
Vaccination programmes with earlier start dates yield the most health benefits and lowest ICERs compared to late-starting programmes
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Has reproduction · 59
Integrative network modeling reveals mechanisms underlying T cell exhaustion.
PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 6 setups
An integrative, literature-curated and data-driven gene regulatory network underlies CD8+ T cell exhaustion and accurately captures expression states in chronic infection and tumor settings.
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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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Has reproduction
Unlocking the microbial studies through computational approaches: how far have we reached?
PMID 36920617 · PMC10016191 · Environmental science and pollution research international · 2023 · 8 claims · 8 setups
Metagenomics enables culture-independent study of microbial communities directly from their natural environments, bypassing the need for clonal isolation.