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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Computing Ka and Ks with a consideration of unequal transitional substitutions.
PMID 16740169 · PMC1552089 · BMC evolutionary biology · 2006 · 7 claims · 7 setups
MYN, a modified version of the Yang-Nielsen (YN) algorithm based on the Tamura-Nei Model, allows unequal transitional substitution rates between purines (κR) and pyrimidines (κY) plus codon frequency bias
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Has reproduction · 10
RADAR: differential analysis of MeRIP-seq data with a random effect model.
PMID 31870409 · PMC6927177 · Genome biology · 2019 · 8 claims · 6 setups
RADAR is a novel analytical tool for differential methylation analysis of MeRIP-seq data combining gene-level INPUT normalization with a Poisson random effect model.
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Application of two machine learning algorithms to genetic association studies in the presence of covariates.
PMID 19014573 · PMC2620353 · BMC genetics · 2008 · 8 claims · 3 setups
The relative performance of RF and MARS for detecting genotype-trait associations depends on both the strategy used to handle covariates and the true underlying model of association (e.g., confounding vs. mediation vs. interaction).
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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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Size matters: just how big is BIG?: Quantifying realistic sample size requirements for human genome epidemiology.
PMID 18676414 · PMC2639365 · International journal of epidemiology · 2009 · 7 claims · 2 setups
Conventional power calculations for case-control studies disregard analytic complexity (e.g. clinical assessment errors, unmeasured aetiological determinants) and can seriously underestimate true sample size requirements
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Accuracy of predicting the genetic risk of disease using a genome-wide approach.
PMID 18852893 · PMC2561058 · PloS one · 2008 · 8 claims · 4 setups
Deterministic equations can predict the accuracy (r_gĝ) of genome-wide genetic risk/value prediction for continuous, dichotomous, and case-control study designs.
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Has reproduction · 98
Uncertainty in the mating strategy of honeybees causes bias and unreliability in the estimates of genetic parameters.
PMID 38632535 · PMC11022492 · Genetics, selection, evolution : GSE · 2024 · 7 claims · 3 setups
The most precise estimates of genetic parameters and genetic trends are obtained when breeding queens are mated with drones of a single DPQ that is correctly assigned in the pedigree (SS mating).
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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
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Is replication the gold standard for validating genome-wide association findings?
PMID 19112512 · PMC2605260 · PloS one · 2008 · 8 claims · 4 setups
The probability of replicating a specific GWA-identified variant decreases as the number of independent GWA/replication studies increases, when individual study power is less than 100%.
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Inferring human colonization history using a copying model.
PMID 18497854 · PMC2367454 · PLoS genetics · 2008 · 8 claims · 6 setups
A copying-model approach using SNP haplotype sharing can infer both the order of population founding and the donor populations contributing ancestry to each new population.
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Digital evolution.
PMID 14551915 · PMC212697 · PLoS biology · 2003 · 7 claims · 5 setups
Digital organisms (Avidians) evolved from simple self-replicators, through an unexpected transitional form, to complex performers of many logic functions, with the full genealogy traceable and no missing links.
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Incorporation of genetic model parameters for cost-effective designs of genetic association studies using DNA pooling.
PMID 17634103 · PMC1947971 · BMC genomics · 2007 · 8 claims · 4 setups
A closed-form approximation to the F-test non-centrality parameter (NCP) incorporating genetic model parameters (disease allele frequency, marker allele frequency, prevalence, genotype relative risk, sample size, genetic model, number of pools/replicates, machine variability) can be used to compute power for DNA pooling association studies
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Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies.
PMID 18654633 · PMC2464715 · PLoS genetics · 2008 · 8 claims · 5 setups
A Bayesian-inspired penalised maximum likelihood stochastic search method can simultaneously analyse all SNPs (up to 500K) from a GWA study in a few hours on a desktop workstation
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A method for detecting epistasis in genome-wide studies using case-control multi-locus association analysis.
PMID 18667089 · PMC2533022 · BMC genomics · 2008 · 7 claims · 2 setups
HFCC is a method/software for genome-wide epistasis detection using case-control multi-locus association analysis, combining a fast computing algorithm with flexibility to test a variety of epistatic models.
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Has reproduction · 87
Genetic demultiplexing of pooled single-cell RNA-sequencing samples in cancer facilitates effective experimental design.
PMID 34553212 · PMC8458035 · GigaScience · 2021 · 8 claims · 7 setups
Genetic variation–based demultiplexing tools can be effectively deployed on cancer scRNA-seq tissue using a pooled experimental design, achieving high recall at acceptable precision-recall tradeoffs in both high-CNV (HGSOC) and high-SNV (lung adenocarcinoma) cancers, even with extremely high doublet proportions.
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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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Calibrating the performance of SNP arrays for whole-genome association studies.
PMID 18584036 · PMC2432039 · PLoS genetics · 2008 · 8 claims · 7 setups
Previous SNP array genetic coverage estimates are inflated due to SNP overfitting and sample overfitting, since they were evaluated on the same HapMap SNPs/individuals used to design the arrays.
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Has reproduction · 44
Detecting DNA modifications from SMRT sequencing data by modeling sequence context dependence of polymerase kinetic.
PMID 23516341 · PMC3597545 · PLoS computational biology · 2013 · 8 claims · 7 setups
Local sequence context strongly determines position-specific polymerase kinetic rate: roughly 80% of IPD variation is explained by a 10 bp context (7 bases upstream, 2 bases downstream of the incorporation site), saturating at 7 bases upstream.
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Statistical challenges in preprocessing in microarray experiments in cancer.
PMID 18829474 · PMC3529914 · Clinical cancer research : an official journal of the American Association for Cancer Research · 2008 · 8 claims · 7 setups
Choice of pre-processing method materially changes which features are found significantly associated with survival in the Beer et al. lung cancer microarray dataset
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Association testing of novel type 2 diabetes risk alleles in the JAZF1, CDC123/CAMK1D, TSPAN8, THADA, ADAMTS9, and NOTCH2 loci with insulin release, insulin sensitivity, and obesity in a population-based sample of 4,516 glucose-tolerant middle-aged Danes.
PMID 18567820 · PMC2518507 · Diabetes · 2008 · 8 claims · 5 setups
CDC123/CAMK1D rs12779790 risk allele (homozygous) is associated with decreased insulinogenic index, corrected insulin response (CIR), and AUC-insulin/AUC-glucose ratio, indicating impaired insulin release