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).
-
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
-
Has reproduction · 50
MEDUSA: A Pipeline for Sensitive Taxonomic Classification and Flexible Functional Annotation of Metagenomic Shotgun Sequences.
PMID 35330728 · PMC8940201 · Frontiers in genetics · 2022 · 6 claims · 6 setups
MEDUSA is an automated, Conda-installable and Snakemake-managed pipeline performing preprocessing, assembly, alignment, taxonomic classification, and functional annotation on shotgun data.
-
Has reproduction · 58
A comparative study of techniques for differential expression analysis on RNA-Seq data.
PMID 25119138 · PMC4132098 · PloS one · 2014 · 8 claims · 8 setups
edgeR performs slightly better than DESeq and Cuffdiff2 in terms of the ability to uncover true positives.
-
Full-text index only
Simple models of genomic variation in human SNP density.
PMID 17553150 · PMC1919371 · BMC genomics · 2007 · 6 claims · 4 setups
Hierarchical Poisson model B, which allows both the mutation-rate proxy (Beta-distributed Λ) and the ARG-size proxy (Gamma-distributed T) to vary, fits the observed SNP density distribution significantly better than models with only one or neither varying.
-
Full-text index only
SNP@Evolution: a hierarchical database of positive selection on the human genome.
PMID 19732458 · PMC2755008 · BMC evolutionary biology · 2009 · 7 claims · 6 setups
SNP@Evolution is a hierarchical database integrating HET, FST, and iHS from HapMap Phase II and III to identify genome-wide positive selection signals